Patent Description:
Aspects of the present disclosure generally relate to wireless communication and to techniques for user equipment (UE) mobility prediction based radio resource management.

<CIT> discloses a method for managing wireless communications. The method comprises identifying a subset of a set of neighboring cells for measurement by a mobile device, the identification based on historical information associated with mobility patterns of the mobile device.

<CIT> discloses a method of reselecting a cell in a mobile station in an idle state using GPS. The method comprises the steps of: obtaining location change information by periodically measuring GPS location information; measuring signal characteristics from adjacent cells and comparing the signal characteristics to a current cell; determining whether differences between the measurement values are equal to or less than a threshold; and if the differences between the measurement values are equal to or less than the threshold, performing the cell reselection based on stored base station system GPS location information of adjacent cells and the location change information.

The invention is defined in the claims. The following aspects are provided for illustrative purposes.

In some aspects, a method of wireless communication performed by a user equipment (UE) includes determining a mobility prediction for the UE; determining one or more radio resource management (RRM) measurement parameters based at least in part on the mobility prediction; and performing one or more RRM measurements based at least in part on the one or more RRM measurement parameters.

In some aspects, determining the one or more RRM measurement parameters includes determining one or more reduced RRM measurement parameters that are reduced relative to one or more baseline RRM measurement parameters. In some aspects, the one or more reduced RRM measurement parameters comprise at least one of a reduced number of RRM measurements relative to a baseline number of RRM measurements included in the one or more baseline RRM measurement parameters, a reduced RRM measurement time duration relative to a baseline RRM measurement time duration included in the one or more baseline RRM measurement parameters, or a reduced number of RRM measurement targets relative to a baseline number of RRM measurement targets included in the one or more baseline RRM measurement parameters.

In some aspects, determining the one or more reduced RRM measurement parameters includes determining the reduced number of RRM measurement targets based at least in part on at least one of mobility prediction for the UE indicating that a probability that the UE will travel into one or more neighboring cells does not satisfy a first threshold, a signal measurement for a serving cell of the UE satisfying a second threshold, or a priority of the serving cell being greater than respective priorities of each of the one or more neighboring cells. In some aspects, the UE is in a radio resource control (RRC) connected mode with a base station (BS); and the method further includes transmitting, to the BS, an indication of the mobility prediction for the UE.

In some aspects, transmitting the indication of the mobility prediction includes transmitting the indication of the mobility prediction in at least one of a UE assistance information communication, a measurement report, an RRC reconfiguration complete communication, or an RRC communication. In some aspects, the mobility prediction indicates at least one of a neighboring cell, a probability that the UE will move into the neighboring cell, a confidence level of the probability, an expected arrival time in the neighboring cell, a route identifier, or a probability that the UE will use a route associated with the route identifier.

In some aspects, the method includes receiving, from the BS, an indication of a plurality of RRM measurement objects, wherein determining the one or more RRM measurement parameters includes determining an RRM measurement object, from the plurality of RRM measurement objects, based at least in part on the mobility prediction; and determining the one or more RRM measurement parameters based at least in part on the RRM measurement object. In some aspects, the method includes receiving, from the BS, an indication of an RRM measurement parameter range; and wherein determining the one or more RRM measurement parameters includes determining the one or more RRM measurement parameters based at least in part on the mobility prediction for the UE and the RRM measurement parameter range.

In some aspects, the UE is in an RRC idle mode or an RRC inactive mode; and determining the one or more RRM measurement parameters includes determining that the mobility prediction for the UE satisfies an RRM measurement reduction parameter; and determining the one or more RRM measurement parameters based at least in part on a determination that that mobility prediction for the UE satisfies the RRM measurement reduction parameter. In some aspects, the method includes receiving, in an RRC release communication, at least one of an indication that RRM measurement reduction is permitted for the UE, an indication of the RRM measurement reduction parameter, or an indication to perform one or more early measurements.

In some aspects, RRM measurement reduction is indicated as being permitted on at least one of a per-carrier basis or a per-cell basis. In some aspects, the UE is in an RRC idle mode or an RRC inactive mode; and determining the one or more RRM measurement parameters includes determining that the mobility prediction for the UE does not satisfy an RRM measurement reduction parameter; and determining the one or more RRM measurement parameters based at least in part on a determination that that mobility prediction for the UE does not satisfy the RRM measurement reduction parameter.

In some aspects, the one or more RRM measurement parameters include one or more intra-frequency cell reselection parameters; and determining the one or more RRM measurement parameters includes determining the one or more intra-frequency cell reselection parameters based at least in part on at least one of: the mobility prediction for the UE, historical UE mobility information, or one or more measurement reports associated with at least one of the UE or one or more other UEs. In some aspects, the one or more RRM measurement parameters include an inter-frequency cell reselection measurement prioritization for a plurality of neighboring cells; and determining the one or more RRM measurement parameters includes determining a UE-based inter-frequency cell reselection measurement prioritization based at least in part on the mobility prediction for the UE; and determining the inter-frequency cell reselection measurement prioritization based at least in part on at least one of: the UE-based inter-frequency cell reselection measurement prioritization, a network-based inter-frequency cell reselection measurement prioritization, or a tradeoff parameter.

In some aspects, the method includes receiving an indication of the network-based inter-frequency cell reselection measurement prioritization and an indication of the tradeoff parameter in at least one of: system information, or an RRC connection release communication. In some aspects, the one or more RRM measurement parameters include an inter-radio access technology (RAT) target measurement prioritization for a plurality of neighboring RATs; and determining the one or more RRM measurement parameters includes determining a UE-based inter-RAT target measurement prioritization based at least in part on the mobility prediction for the UE; and determining the inter-RAT target measurement prioritization based at least in part on at least one of: the UE-based inter-RAT target measurement prioritization, a network-based inter-RAT target measurement prioritization, or a tradeoff parameter. In some aspects, the method includes receiving an indication of the network-based inter-RAT target measurement prioritization and an indication of the tradeoff parameter in at least one of: system information, or an RRC connection release communication.

In some aspects, a UE for wireless communication includes: a memory; and one or more processors operatively coupled to the memory, the memory and the one or more processors configured to: determine a mobility prediction for the UE; determine one or more RRM measurement parameters based at least in part on the mobility prediction; and perform one or more RRM measurements based at least in part on the one or more RRM measurement parameters.

In some aspects, the one or more processors, when determining the one or more RRM measurement parameters, are configured to determine one or more reduced RRM measurement parameters that are reduced relative to one or more baseline RRM measurement parameters. In some aspects, the one or more reduced RRM measurement parameters comprise at least one of a reduced number of RRM measurements relative to a baseline number of RRM measurements included in the one or more baseline RRM measurement parameters, a reduced RRM measurement time duration relative to a baseline RRM measurement time duration included in the one or more baseline RRM measurement parameters, or a reduced number of RRM measurement targets relative to a baseline number of RRM measurement targets included in the one or more baseline RRM measurement parameters.

In some aspects, the one or more processors, when determining the one or more reduced RRM measurement parameters, are configured to: determine the reduced number of RRM measurement targets based at least in part on at least one of: mobility prediction for the UE indicating that a probability that the UE will travel into one or more neighboring cells does not satisfy a first threshold, a signal measurement for a serving cell of the UE satisfying a second threshold, or a priority of the serving cell being greater than respective priorities of each of the one or more neighboring cells.

In some aspects, the UE is in an RRC connected mode with a BS and the method further includes transmitting, to the BS, an indication of the mobility prediction for the UE. In some aspects, the mobility prediction indicates at least one of a neighboring cell, a probability that the UE will move into the neighboring cell, a confidence level of the probability, an expected arrival time in the neighboring cell, a route identifier, or a probability that the UE will use a route associated with the route identifier. In some aspects, the UE is in an RRC idle mode or an RRC inactive mode; and the one or more processors, when determining the one or more RRM measurement parameters, are configured to: determine that the mobility prediction for the UE satisfies an RRM measurement reduction parameter; and determine the one or more RRM measurement parameters based at least in part on a determination that that mobility prediction for the UE satisfies the RRM measurement reduction parameter.

In some aspects, the UE is in an RRC idle mode or an RRC inactive mode; and the one or more processors, when determining the one or more RRM measurement parameters, are configured to: determine that the mobility prediction for the UE does not satisfy an RRM measurement reduction parameter; and determine the one or more RRM measurement parameters based at least in part on a determination that that mobility prediction for the UE does not satisfy the RRM measurement reduction parameter.

In some aspects, a non-transitory computer-readable medium storing a set of instructions for wireless communication includes: one or more instructions that, when executed by one or more processors of a UE, cause the UE to determine a mobility prediction for the UE; determine one or more radio RRM measurement parameters based at least in part on the mobility prediction; and perform one or more RRM measurements based at least in part on the one or more RRM measurement parameters.

In some aspects, the UE is in a RRC idle mode or an RRC inactive mode; and the one or more instructions, that cause the UE to determine the one or more RRM measurement parameters, cause the UE to determine that the mobility prediction for the UE satisfies an RRM measurement reduction parameter; and determine the one or more RRM measurement parameters based at least in part on a determination that that mobility prediction for the UE satisfies the RRM measurement reduction parameter.

In some aspects, an apparatus for wireless communication includes: means for determining a mobility prediction for the apparatus; means for determining one or RRM measurement parameters based at least in part on the mobility prediction; and means for performing one or more RRM measurements based at least in part on the one or more RRM measurement parameters.

In some aspects, the means for determining the one or more RRM measurement parameters includes means for determining one or more reduced RRM measurement parameters that are reduced relative to one or more baseline RRM measurement parameters, wherein the one or more reduced RRM measurement parameters comprise at least one of a reduced number of RRM measurements relative to a baseline number of RRM measurements included in the one or more baseline RRM measurement parameters, a reduced RRM measurement time duration relative to a baseline RRM measurement time duration included in the one or more baseline RRM measurement parameters, or a reduced number of RRM measurement targets relative to a baseline number of RRM measurement targets included in the one or more baseline RRM measurement parameters.

Such constructions do not depart from the scope of the appended claims.

Transmit processor <NUM> may also generate reference symbols for reference signals (e.g., the cell-specific reference signal (CRS), a demodulation reference signal (DMRS), and/or the like) and synchronization signals (e.g., the primary synchronization signal (PSS) and secondary synchronization signal (SSS)).

As further shown in <FIG>, UE <NUM> may include one or more sensors <NUM>. Sensor(s) <NUM> may include an optical sensor that has a field of view in which sensor(s) <NUM> may determine one or more characteristics of an environment of the UE <NUM>, may include a camera, may include magnetometer (e.g., a Hall effect sensor, an anisotropic magneto-resistive (AMR) sensor, a giant magneto-resistive sensor (GMR), and/or the like), a location sensor (e.g., a global positioning system (GPS) receiver, a local positioning system (LPS) device (e. g, that uses triangulation, multi-lateration, etc.), and/or the like), a gyroscope (e. , a micro-electro- mechanical systems (lVEEMS) gyroscope or a similar type of device), an accelerometer, a speed sensor, a motion sensor, an infrared sensor, a temperature sensor, a pressure sensor, and/or the like. In some aspects, sensor(s) <NUM> may generate various types of sensor data, such as positioning data, location data, movement and/or mobility data, orientation data, and/or other types of sensor data. In some aspects, the UE <NUM> may use the sensor data to perform a mobility prediction for the UE <NUM>, as described herein. In some aspects, one or more components of UE <NUM> may be included in a housing <NUM>, mounted to or installed on the housing <NUM>, and/or the like.

On the uplink, at UE <NUM>, a transmit processor <NUM> may receive and process data from a data source <NUM> and control information (e.g., for reports that include RSRP, RSSI, RSRQ, CQI, and/or the like) from controller/processor <NUM>. The transceiver may be used by a processor (e.g., controller/processor <NUM>) and memory <NUM> to perform aspects of any of the methods described herein.

The transceiver may be used by a processor (e.g., controller/processor <NUM>) and memory <NUM> to perform aspects of any of the methods described herein.

Controller/processor <NUM> of base station <NUM>, controller/processor <NUM> of UE <NUM>, and/or any other component(s) of <FIG> may perform one or more techniques associated with UE mobility prediction-based radio resource management (RRM), as described in more detail elsewhere herein. For example, controller/processor <NUM> of base station <NUM>, controller/processor <NUM> of UE <NUM>, and/or any other component(s) of <FIG> may perform or direct operations of, for example, process <NUM> of <FIG> and/or other processes as described herein. Memories <NUM> and <NUM> may store data and program codes for base station <NUM> and UE <NUM>, respectively. In some aspects, memory <NUM> and/or memory <NUM> may include a non-transitory computer-readable medium storing one or more instructions for wireless communication. For example, the one or more instructions, when executed (e.g., directly, or after compiling, converting, interpreting, and/or the like) by one or more processors of the base station <NUM> and/or the UE <NUM>, may cause the one or more processors, the UE <NUM>, and/or the base station <NUM> to perform or direct operations of, for example, process <NUM> of <FIG> and/or other processes as described herein. In some aspects, executing instructions may include running the instructions, converting the instructions, compiling the instructions, interpreting the instructions, and/or the like.

In some aspects, a UE <NUM> may include means for determining (e.g., receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, sensor(s) <NUM>, and/or the like) a mobility prediction for the UE <NUM>, means for determining (e.g., receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, and/or the like) one or more RRM measurement parameters based at least in part on the mobility prediction, means for performing (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, MOD <NUM>, and/or the like) one or more RRM measurements based at least in part on the one or more RRM measurement parameters, and/or the like. In some aspects, such means may include one or more components of UE <NUM> described in connection with <FIG>, such as controller/processor <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, MOD <NUM>, antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, memory <NUM>, sensor(s) <NUM>, and/or the like.

A UE may perform RRM measurements in a wireless network for purposes of radio resource management. Radio resource management (or RRM) refers to a collection of various techniques that may be used to manage, configure, conserve, optimize, and/or control radio resource usage in a wireless network. For example, the UE may perform the RRM measurements, may transmit results of the RRM measurements to a base station, and the base station may configure transmit power, radio resource allocation, beamforming, data rates, modulation coding schemes, error correction, handover parameters, and/or the like for the UE.

RRM measurements may include signal power measurements, signal strength measurements, latency measurements, signal quality measurements, interference measurements, noise measurements, neighbor cell measurements, serving cell measurements, and/or the like. While performing RRM measurements may assist a base station in configuring various wireless communication parameters for a UE, performing the RRM measurements may consume large amounts of battery resources of the UE, radio resources of the UE, processing and memory resources of the UE, and/or the like.

Some aspects described herein provide techniques for UE mobility prediction based RRM. In some aspects, a UE may reduce or relax the RRM measurements that the UE is to perform based at least in part on a mobility prediction determined by the UE. The mobility prediction may indicate whether the UE is likely to move in and/or through one or more neighboring cells, may indicate an expected arrival time at one or more neighboring cells, may indicate a duration of time that the UE will be in one or more neighboring cells, and/or other predicted or estimated indicators of mobility of the UE. In this way, the UE may determine to reduce or relax RRM measurements for particular cells and/or may determine to maintain a baseline level of RRM measurements for other cells based at least in part on the mobility prediction. This enables the UE to reduce resource consumption (e.g., processing resources, memory resources, battery resources, radio resources, and/or the like) while maintaining a high level of handover reliability and mobility reliability.

<FIG> is a diagram illustrating an example <NUM> associated with UE mobility prediction based RRM, in accordance with various aspects of the present disclosure. As shown in <FIG>, example <NUM> includes a UE <NUM> and one or more BSs <NUM> (e.g., BS 110a, BS 110b, BS 110c, and/or the like). In some aspects, the BSs <NUM> and the UE <NUM> may be included in a wireless network, such as wireless network <NUM>. BSs <NUM> and the UE <NUM> may communicate on a wireless access link, which may include an uplink and a downlink.

The BSs <NUM> may each provide a cell in which wireless communication devices (e.g., UEs) may be served with access to the wireless network. For example, the BS 110a may provide cell <NUM>, the BS 110b may provide cell <NUM>, and the BS 110c may provide cell <NUM>. Cells <NUM>-<NUM> may be neighboring cells or cells that are not serving the UE <NUM>. UE <NUM> is capable of performing RRM measurements for purposes of RRM. In these cases, the UE <NUM> may perform one or more signal measurements, latency measurements, distance measurements, and/or other types of measurements associated with cells <NUM>-<NUM> to support handover of the UE <NUM> and/or for other purposes.

In some aspects, the UE <NUM> may support various communication modes. For example, the UE <NUM> may support a connected communication mode (e.g., a radio resource control (RRC) connected mode), an idle communication mode (e.g., an RRC idle mode), an inactive communication mode (e.g., an RRC inactive mode), and/or the like. The RRC connected mode may be a communication mode in which the UE <NUM> is communicatively connected with a BS <NUM> and is active. The RRC idle mode may be a communication mode in which the UE <NUM> is not communicatively connected with a BS <NUM>. In the RRC idle mode, the UE <NUM> may conserve power by deactivating one or more components of the UE <NUM>, such as an antenna or antenna panel, a communication chain, and/or the like. The RRC inactive mode may functionally reside between the RRC connected mode and RRC idle mode. In the RRC inactive mode, the UE <NUM> may be communicatively connected with a BS <NUM>, but the RRC connection with the BS <NUM> may be suspended and/or inactive. The BS <NUM> may store a UE context (e.g., an access stratum (AS) context, higher-layer configurations, and/or the like) associated with the UE <NUM>. This permits the UE <NUM> and/or the BS <NUM> to apply the stored UE context when the UE <NUM> transitions from the RRC inactive mode to the RRC connected mode.

As shown in <FIG>, and by reference number <NUM>, the UE <NUM> determines (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, sensor(s) <NUM>, mobility prediction component <NUM>, and/or the like) a mobility prediction for the UE <NUM>. The mobility prediction may be a prediction or estimation of an expected path of movement of the UE <NUM>. In other words, the mobility prediction may be a prediction or estimation of a direction in which the UE <NUM> is likely to travel, a path along which the UE <NUM> is likely to travel, a speed and/or acceleration at which the UE <NUM> is likely to travel, an estimated movement pattern for the UE <NUM>, and/or the like.

In some aspects, the mobility prediction may be a determination of a probability or a likelihood that the UE <NUM> will move into one or more cells (e.g., one or more neighboring cells such as cells <NUM>-<NUM> and/or other cells). As an example, the mobility prediction for the UE <NUM> may indicate a probability or a likelihood that the UE <NUM> will move into cell <NUM>, a probability or a likelihood that the UE <NUM> will move into cell <NUM>, a probability or a likelihood that the UE <NUM> will move into cell <NUM>, and/or the like. In some aspects, the mobility prediction may indicate a probability or a likelihood that the UE <NUM> will move into a particular cell within a particular time period. In some aspects, the mobility prediction may indicate confidence level for a probability or a likelihood that the UE <NUM> will move into a particular cell. In some aspects, the mobility prediction may indicate an expected arrival time in a particular cell. In some aspects, the mobility prediction may indicate an expected time duration for which the UE <NUM> will remain in a particular cell. In some aspects, the mobility prediction may indicate one or more candidate route identifiers (e.g., an identifier of a route or a communication path for traffic to and/or from the UE <NUM>) for the UE <NUM>. In some aspects, the mobility prediction may indicate a probability or a likelihood that a route associated with a particular candidate route identifier will be used by the UE <NUM> at a particular point in time. In some aspects, the mobility prediction may indicate combinations of the above parameters and/or other parameters of expected, predicted, and/or estimated mobility of the UE <NUM>.

The UE <NUM> may determine the mobility prediction based at least in part on various inputs, various parameters, and/or other types of data. In some aspects, the UE <NUM> may determine the mobility prediction based at least in part on signal measurements, pathloss measurements, distance measurements, and/or other types of cell measurements of signals from nearby cells. For example, the UE <NUM> may determine that the UE <NUM> is moving closer or further away from a cell based at least in part on cell measurements associated of signals from the cell.

In some aspects, the UE <NUM> may determine the mobility prediction based at least in part on sensor data from one or more sensors (e.g., sensor(s) <NUM>) of the UE <NUM>. For example, the UE <NUM> may determine a path of travel of the UE <NUM> based at least in part on GPS navigation data, may determine that the UE <NUM> is accelerating in a particular direction based at least in part on accelerometer data, may determine that the UE <NUM> is facing a particular direction based at least in part on gyroscope data, and/or the like.

In some aspects, the UE <NUM> may determine the mobility prediction based at least in part on historical mobility information for the UE <NUM>. The historical mobility information may include information identifying previously traveled paths for the UE <NUM>, previous navigation destinations of the UE <NUM>, frequency of paths traveled by the UE <NUM>, saved routes and/or points of interest by the UE <NUM>, times of day that the UE <NUM> traveled along a particular path and/or to a particular destination, and/or the like.

In some aspects, the UE <NUM> may determine the mobility prediction based at least in part on a type of travel. For example, the mobility prediction may be based at least in part on the UE <NUM> being located in a vehicle, based at least in part on the UE <NUM> be associated with a pedestrian, and/or the like.

In some aspects, the UE <NUM> may determine the mobility prediction based at least in part on a combination of the above inputs, parameters, and/or data, and/or other types of inputs, parameters, and/or data. As an example of the above, the UE <NUM> may determine the mobility prediction to include a <NUM> probability that the UE <NUM> will travel into cell <NUM> to a work destination, a <NUM> probability that the UE <NUM> will travel into cell <NUM> to a restaurant, and a probability that the UE <NUM> will travel into cell <NUM> to a home destination based at least in part on a direction of travel of a vehicle associated with the UE <NUM>, based at least in part on a time of day, and based at least in part on the UE <NUM> historically traveling to the work destination at the time of day.

As further shown in <FIG>, and by reference number <NUM>, the UE <NUM> determines (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) one or more RRM measurement parameters based at least in part on the mobility prediction. The one or more RRM measurement parameters include a number of RRM measurements that are to be performed for a particular cell and/or for a particular frequency carrier in a cell, include a frequency or time duration between RRM measurements for a particular cell and/or for a particular frequency carrier in a cell, include whether the UE <NUM> is to perform RRM measurements for a particular cell and/or for a particular frequency carrier in a cell, and/or the like. In this way, the UE <NUM> may reduce or relax the RRM measurement parameters for particular cells and/or frequency carriers, relative to baseline RRM measurement parameters for the UE <NUM> and/or for the wireless network, based at least in part on the mobility prediction. For example, the UE <NUM> may perform fewer RRM measurements relative to a baseline number of RRM measurements, reduce the frequency of RRM measurements relative to a baseline frequency of RRM measurements, may reduce the number of RRM measurement targets (e.g., cells, frequency carriers, and/or the like) relative to a baseline number of RRM measurement targets, and/or the like.

In some aspects, the UE <NUM> may reduce or relax the RRM measurement parameters for a particular cell or for a particular frequency carrier based at least in part on the mobility prediction indicating that a probability the UE <NUM> will move into the cell and/or use the frequency carrier does not satisfy a probability threshold. As an example, the UE <NUM> may perform fewer RRM measurements, may perform RRM measurements for a shorter time duration, or may refrain from performing RRM measurements altogether for cell <NUM> based at least in part on determining that the probability the UE <NUM> will move into cell <NUM>, indicated in the mobility prediction, does not satisfy a probability threshold.

In some aspects, the UE <NUM> may reduce or relax the RRM measurement parameters for a particular cell and/or for a particular frequency carrier based at least in part on other parameters in addition to and/or instead of the mobility prediction. For example, the UE <NUM> may reduce or relax the RRM measurement parameters for a particular cell and/or for a particular frequency carrier based at least in part on determining that a measured signal strength (e.g., an RSRP, an RSSI, and/or the like) and/or a measured signal quality (e.g., an RSRQ, a CQI, and/or the like) satisfies a threshold. As another example, the UE <NUM> may reduce or relax the RRM measurement parameters for a particular cell and/or for a particular frequency carrier based at least in part on determining that a measured signal strength and/or a measured signal is within a particular range. As another example, the UE <NUM> may reduce or relax the RRM measurement parameters for a particular cell and/or for a particular frequency carrier based at least in part on determining that a priority (e.g., a cell priority, a frequency carrier priority, and/or the like) associated with the cell and/or the frequency carrier is lower than (or not higher than) a serving cell of the UE <NUM> if the UE <NUM> is in an RRC connected mode with a BS <NUM>.

As further shown in <FIG>, and by reference number <NUM>, the UE <NUM> may perform (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, MOD <NUM>, memory <NUM>, RRM measurement component <NUM>, and/or the like) one or more RRM measurements based at least in part on the one or more RRM measurement parameters. For example, the UE <NUM> may perform a number of RRM measurements for a cell (e.g., cell <NUM>, cell <NUM>, cell <NUM>, and/or other cells) and/or a frequency carrier in a cell based at least in part on a number of RRM measurements indicated by the one or more RRM measurement parameters. As another example, the UE <NUM> may perform RRM measurements at a particular frequency or time interval based at least in part on a measurement frequency or a measurement time interval indicated by the one or more RRM measurement parameters. As another example, the UE <NUM> may perform RRM measurements for particular cells and/or frequency carriers and may refrain from performing RRM measurements for other cells and/or frequency carriers based at least in part on the one or more RRM measurement parameters, and/or the like.

In this way, the UE <NUM> may determine to reduce or relax RRM measurements for particular cells and/or may determine to maintain a baseline level of RRM measurements for other cells based at least in part on the mobility prediction. This enables the UE <NUM> to reduce resource consumption (e.g., processing resources, memory resources, battery resources, radio resources, and/or the like) while maintaining a high level of handover reliability and mobility reliability.

<FIG> is a diagram illustrating an example <NUM> associated with UE mobility prediction based RRM, in accordance with various aspects of the present disclosure. As shown in <FIG>, example <NUM> includes a UE <NUM> and one or more BSs <NUM> (e.g., BS 110a, BS 110b, BS 110c, BS 110d, and/or the like). In some aspects, the BSs <NUM> and the UE <NUM> may be included in a wireless network, such as wireless network <NUM>. BSs <NUM> and the UE <NUM> may communicate on a wireless access link, which may include an uplink and a downlink.

The BSs <NUM> may each provide a cell in which wireless communication devices (e.g., UEs) may be served with access to the wireless network. For example, the BS 110a may provide cell <NUM>, the BS 110b may provide cell <NUM>, and the BS 110c may provide cell <NUM>. Cells <NUM>-<NUM> may be neighboring cells or cells that are not serving the UE <NUM>. UE <NUM> is capable of performing RRM measurements for purposes of RRM. In these cases, the UE <NUM> may perform one or more signal measurements, latency measurements, distance measurements, and/or other types of measurements associated with cells <NUM>-<NUM> to support handover of the UE <NUM> and/or for other purposes. Moreover, the UE <NUM> may be communicatively connected with the BS 110d in an RRC connected mode. The BS 110d may provide the UE <NUM> with a serving cell in which the UE <NUM> communicates with the wireless network and/or other wireless communication devices in the wireless network.

As shown in <FIG>, and by reference number <NUM>, the UE <NUM> may determine (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, sensor(s) <NUM>, mobility prediction component <NUM>, and/or the like) a mobility prediction for the UE <NUM>. In some aspects, the UE <NUM> determines the mobility prediction based at least in part on one or more techniques described above in connection with <FIG> and/or other techniques for mobility prediction.

As further shown in <FIG>, and by reference number <NUM>, the UE <NUM> may transmit (e.g., using controller/processor <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, MOD <NUM>, antenna <NUM>, memory <NUM>, transmission component <NUM>, and/or the like) an indication of the mobility prediction to the BS 110d. In some aspects, the UE <NUM> may transmit the indication of the mobility prediction to the BS 110d on an uplink of a wireless access link between the UE <NUM> and the BS 110d. In these cases, the UE <NUM> may transmit the indication of the mobility prediction in an uplink communication. The uplink communication may include a UE assistance information communication, a measurement report (e.g., a channel state information (CSI) report, a beam measurement report, or another type of measurement report), an RRC communication, an RRC reconfiguration complete communication (e.g., after receiving an RRC reconfiguration communication from the BS 110d), and/or another type of uplink communication.

The BS 110d may receive (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM> of <FIG>, and/or the like) the indication of the measurement report. The BS 110d may determine (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, determination component <NUM> of <FIG>, and/or the like) a plurality of RRM measurement objects and/or an RRM measurement parameter range for the UE <NUM>. In some aspects, the BS 110d determines the RRM measurement objects and/or the RRM measurement parameter range based at least in part on the mobility prediction. An RRM measurement object (e.g., MeasObjectNR) may include an RRM measurement configuration including one or more RRM measurement parameters. Each RRM measurement object may be associated with a different mobility prediction. In this way, each mobility prediction may be associated with a particular set of RRM measurement parameters. The RRM measurement parameter range may include a range for each of one or more RRM measurement parameters. In this way, the UE <NUM> may determine, identify, and/or select RRM measurement parameters with in the RRM measurement parameter range.

As further shown in <FIG>, and by reference number <NUM>, the BS 110d may transmit an indication of the RRM measurement objects and/or the RRM measurement parameter range to the UE <NUM>. In some aspects, the BS 110d may transmit the indication of the RRM measurement objects and/or the RRM measurement parameter range to the UE <NUM> on a downlink of the access link. The BS 110d may transmit the indication of the RRM measurement objects and/or the RRM measurement parameter range to the UE <NUM> in a downlink communication, such as an RRC communication, a downlink control information (DCI) communication, a medium access control control element (MAC-CE) communication, and/or another type of downlink communication.

As further shown in <FIG>, and by reference number <NUM>, the UE <NUM> (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) may determine one or more RRM measurement parameters. In some aspects, the UE <NUM> determines the one or more RRM measurement parameters based at least in part on the mobility prediction, as described above in connection with <FIG>. Additionally and/or alternatively, the UE <NUM> may determine the one or more RRM measurement parameters based at least in part on the RRM measurement objects and/or the RRM measurement parameter range. For example, the UE <NUM> may determine an RRM measurement object associated with the mobility prediction and may determine the one or more RRM measurement parameters included in the RRM measurement object. As another example, the UE <NUM> may determine the one or more RRM measurement parameters such that the one or more RRM measurement parameters are within the RRM measurement parameter range.

In some aspects, the UE <NUM> may perform (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, MOD <NUM>, memory <NUM>, and/or the like) one or more RRM measurements based at least in part on the one or more RRM measurement parameters. In some aspects, the UE <NUM> may perform the one or more RRM measurements as described above in connection with <FIG> and/or elsewhere described herein.

The BSs <NUM> may each provide a cell in which wireless communication devices (e.g., UEs) may be served with access to the wireless network. For example, the BS 110a may provide cell <NUM>, the BS 110b may provide cell <NUM>, and the BS 110c may provide cell <NUM>. Cells <NUM>-<NUM> may be neighboring cells or cells that are not serving the UE <NUM>. UE <NUM> is capable of performing RRM measurements for purposes of RRM. In these cases, the UE <NUM> may perform one or more signal measurements, latency measurements, distance measurements, and/or other types of measurements associated with cells <NUM>-<NUM> to support handover of the UE <NUM> and/or for other purposes. In some aspects, the UE <NUM> may not be communicatively connected with a BS <NUM> and/or may not be served by a BS <NUM>. In these cases, the UE <NUM> may operate in an RRC idle mode or an RRC inactive mode.

As further shown in <FIG>, and by reference number <NUM>, the UE <NUM> (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) may determine one or more RRM measurement parameters. In some aspects, the UE <NUM> determines the one or more RRM measurement parameters based at least in part on the mobility prediction, as described above in connection with <FIG>.

Additionally and/or alternatively, the UE <NUM> may determine the one or more RRM measurement parameters based at least in part on an RRM measurement reduction parameter. The UE <NUM> may receive an indication of the RRM measurement reduction parameter from a last serving cell or BS <NUM> of the UE <NUM> or from another cell or BS <NUM>. For example, the last serving cell or BS <NUM> may transmit an indication of the RRM measurement reduction parameters to the UE <NUM> in an RRC release communication. The RRC release communication may further include an indication that RRM measurement reduction or relaxation is permitted for particular cells (or groups of cells or on a per-cell basis) and/or particular frequency carriers (or groups of carriers or on a per-carrier basis), an indication to perform one or more early measurements for cell reselection, and/or the like.

The RRM measurement reduction parameter may include one or more thresholds and/or one or more conditions that, if satisfied, permit the UE <NUM> to perform RRM measurement reduction and/or relaxation. For example, the RRM measurement reduction parameter may include a signal strength threshold, a signal quality threshold, a mobility threshold, and/or other types of conditions and/or thresholds. If the UE <NUM> determines that the mobility prediction satisfies the one or more thresholds and/or conditions indicated by the RRM measurement reduction parameter, the UE <NUM> may reduce and/or relax the RRM measurements for the UE <NUM>.

If the UE <NUM> determines that the mobility prediction does not satisfy the one or more threshold and/or conditions, the UE <NUM> may determine the one or more RRM measurement parameters based at least in part on an implementation of the UE <NUM>. In some aspects, the one or more RRM measurement parameters may include intra-frequency cell reselection parameters, inter-frequency cell reselection parameters, and/or inter-RAT target parameters.

In some aspects, the UE <NUM> may determine the one or more intra-frequency cell reselection parameters (e.g., SIntraSearchP, SIntrasearchQ, and/or the like) based at least in part on the mobility prediction for the UE <NUM>, historical UE mobility information associated with the UE <NUM>, measurement reports associated with the UE <NUM> and/or other UEs in the wireless network, and/or the like. In some aspects, the last serving cell or BS <NUM> of the UE <NUM>, a network controller <NUM>, or another device in the wireless network may determine the one or more intra-frequency cell reselection parameters for the UE <NUM> (e.g., based at least in part on the mobility prediction for the UE <NUM>, historical UE mobility information associated with the UE <NUM>, measurement reports associated with the UE <NUM> and/or other UEs in the wireless network, and/or the like).

In some aspects, one or more of the inter-frequency cell reselection parameters include an inter-frequency cell reselection measurement prioritization for the neighboring cells, cells <NUM>-<NUM>. The inter-frequency cell reselection measurement prioritization may include a prioritized list of the neighboring cells for inter-frequency cell reselection measurement. The UE <NUM> may determine the inter-frequency cell reselection measurement prioritization (which may be referred to as a reference prioritization or cellReselectionPriority ref) based at least in part on a UE-based inter-frequency cell reselection measurement prioritization determined by the UE <NUM> (e.g., cellReselectionPriority UE - based at least in part on the mobility prediction), based at least in part on a network-based inter-frequency cell reselection measurement prioritization (e.g., cellReselectionPriority Net - determined by the last serving cell or BS <NUM> of the UE <NUM>), and/or a tradeoff parameter (α). For example, the UE <NUM> may determine the inter-frequency cell reselection measurement prioritization based at least in part on: <MAT>.

The UE <NUM> may receive (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM>, and/or the like) an indication of the network-based inter-frequency cell reselection measurement prioritization and an indication of the tradeoff parameter (α) in system information, in an RRC connection release communication from a last serving cell or BS <NUM> of the UE <NUM>, and/or the like. The tradeoff parameter (α) may be a variable value (e.g., interFrequencytradeoffPar) and can be configured and/or optimized subsequently by the BS <NUM>.

In some aspects, one or more of the inter-RAT target parameters include an inter-RAT target measurement prioritization for the neighboring cells, cells <NUM>-<NUM>. The inter-RAT target measurement prioritization may include a prioritized list of the neighboring cells for inter-RAT target measurement. The UE <NUM> may determine the inter-RAT target measurement prioritization (which may be referred to as a reference prioritization or interRATPriority ref) based at least in part on a UE-based inter-RAT target measurement prioritization determined by the UE <NUM> (e.g., interRATPriority UE - based at least in part on the mobility prediction), based at least in part on a network-based inter-RAT target measurement prioritization (e.g., interRATPriority Net - determined by the last serving cell or BS <NUM> of the UE <NUM>), and/or a tradeoff parameter (β). For example, the UE <NUM> may determine the inter-RAT target measurement prioritization based at least in part on: <MAT>.

The UE <NUM> may receive (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM>, and/or the like) an indication of the network-based inter-RAT target measurement prioritization and an indication of the tradeoff parameter (β) in system information, in an RRC connection release communication from a last serving cell or BS <NUM> of the UE <NUM>, and/or the like. The tradeoff parameter (β) may be a variable value (e.g., interRATtradeoffPar) and can be configured and/or optimized subsequently by the BS <NUM>. In some aspects, the tradeoff parameter (β) for inter-RAT target measurement prioritization may be the same value as the tradeoff parameter (α) for inter-frequency cell reselection measurement prioritization. In some aspects, the tradeoff parameter (β) for inter-RAT target measurement prioritization and the tradeoff parameter (α) for inter-frequency cell reselection measurement prioritization may be different values.

<FIG> is a diagram illustrating an example process <NUM> performed, for example, by a UE, in accordance with various aspects of the present disclosure. Example process <NUM> is an example where the UE (e.g., UE <NUM> of one or more of <FIG>, apparatus <NUM> of <FIG>, and/or the like) performs operations associated with techniques for UE mobility prediction based RRM.

As shown in <FIG>, in some aspects, process <NUM> may include determining a mobility prediction for the UE (block <NUM>). For example, the UE (e.g., using antenna <NUM>, demodulator <NUM>, MIMO detector <NUM>, receive processor <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, modulator <NUM>, controller/processor <NUM>, memory <NUM>, sensor(s) <NUM>, and/or mobility prediction component <NUM> of <FIG>) may determine a mobility prediction for the UE, as described above.

As further shown in <FIG>, in some aspects, process <NUM> includes determining one or more RRM measurement parameters based at least in part on the mobility prediction (block <NUM>). The UE (e.g., using antenna <NUM>, demodulator <NUM>, MIMO detector <NUM>, receive processor <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, modulator <NUM>, controller/processor <NUM>, memory <NUM>, and/or RRM measurement parameter component <NUM> of <FIG>) determines one or more RRM measurement parameters based at least in part on the mobility prediction, as described above.

As further shown in <FIG>, process <NUM> includes performing one or more RRM measurements based at least in part on the one or more RRM measurement parameters (block <NUM>). For example, the UE (e.g., using antenna <NUM>, demodulator <NUM>, MIMO detector <NUM>, receive processor <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, modulator <NUM>, controller/processor <NUM>, memory <NUM>, and/or RRM measurement component <NUM> of <FIG>) may perform one or more RRM measurements based at least in part on the one or more RRM measurement parameters, as described above.

In a first aspect, determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) one or more reduced RRM measurement parameters that are reduced relative to one or more baseline RRM measurement parameters. In a second aspect, alone or in combination with the first aspect, the one or more reduced RRM measurement parameters comprise at least one of a reduced number of RRM measurements relative to a baseline number of RRM measurements included in the one or more baseline RRM measurement parameters, a reduced RRM measurement time duration relative to a baseline RRM measurement time duration included in the one or more baseline RRM measurement parameters, or a reduced number of RRM measurement targets relative to a baseline number of RRM measurement targets included in the one or more baseline RRM measurement parameters.

In a third aspect, alone or in combination with one or more of the first and second aspects, determining the one or more reduced RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) the reduced number of RRM measurement targets based at least in part on at least one of mobility prediction for the UE indicating that a probability that the UE will travel into one or more neighboring cells does not satisfy a first threshold, a signal measurement for a serving cell of the UE satisfying a second threshold, or a priority of the serving cell being greater than respective priorities of each of the one or more neighboring cells. In a fourth aspect, alone or in combination with one or more of the first through third aspects, the UE is in an RRC connected mode with a BS, and the method further comprises transmitting (e.g., using controller/processor <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, MOD <NUM>, antenna <NUM>, memory <NUM>, transmission component of <FIG>, and/or the like), to the BS, an indication of the mobility prediction for the UE.

In a fifth aspect, alone or in combination with one or more of the first through fourth aspects, transmitting the indication of the mobility prediction comprises transmitting (e.g., using controller/processor <NUM>, transmit processor <NUM>, TX MIMO processor <NUM>, MOD <NUM>, antenna <NUM>, memory <NUM>, transmission component of <FIG>, and/or the like) the indication of the mobility prediction in at least one of a UE assistance information communication, a measurement report, an RRC reconfiguration complete communication, or an RRC communication. In a sixth aspect, alone or in combination with one or more of the first through fifth aspects, the mobility prediction indicates at least one of a neighboring cell, a probability that the UE will move into the neighboring cell, a confidence level of the probability, an expected arrival time in the neighboring cell, a route identifier, or a probability that the UE will use a route associated with the route identifier.

In a seventh aspect, alone or in combination with one or more of the first through sixth aspects, process <NUM> includes receiving (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM> of <FIG>, and/or the like), from the BS, an indication of a plurality of RRM measurement objects, and wherein determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) determining an RRM measurement object from the plurality of RRM measurement objects based at least in part on the mobility prediction; and determining the one or more RRM measurement parameters based at least in part on the RRM measurement object. In an eighth aspect, alone or in combination with one or more of the first through seventh aspects, process <NUM> includes receiving (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM> of <FIG>, and/or the like), from the BS, an indication of an RRM measurement parameter range, and wherein determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) the one or more RRM measurement parameters based at least in part on the mobility prediction for the UE and the RRM measurement parameter range.

In a ninth aspect, alone or in combination with one or more of the first through eighth aspects, the UE is in an RRC idle mode or an RRC inactive mode, and wherein determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) that the mobility prediction for the UE satisfies an RRM measurement reduction parameter, and determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) the one or more RRM measurement parameters based at least in part on a determination that that mobility prediction for the UE satisfies the RRM measurement reduction parameter. In a tenth aspect, alone or in combination with one or more of the first through ninth aspects, process <NUM> includes receiving (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM>, and/or the like), in an RRC release communication, at least one of an indication that RRM measurement reduction is permitted for the UE, an indication of the RRM measurement reduction parameter, or an indication to perform one or more early measurements.

In an eleventh aspect, alone or in combination with one or more of the first through tenth aspects, RRM measurement reduction is indicated as being permitted on at least one of a per-carrier basis or a per-cell basis. In a twelfth aspect, alone or in combination with one or more of the first through eleventh aspects, the UE is in RRC idle mode or an RRC inactive mode, and wherein determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) that the mobility prediction for the UE does not satisfy an RRM measurement reduction parameter, and determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) the one or more RRM measurement parameters based at least in part on a determination that that mobility prediction for the UE does not satisfy the RRM measurement reduction parameter.

In a thirteenth aspect, alone or in combination with one or more of the first through twelfth aspects, the one or more RRM measurement parameters include one or more intra-frequency cell reselection parameters, and wherein determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) the one or more intra-frequency cell reselection parameters based at least in part on at least one of the mobility prediction for the UE, historical UE mobility information, or one or more measurement reports associated with at least one of the UE or one or more other UEs.

In a fourteenth aspect, alone or in combination with one or more of the first through thirteenth aspects, the one or more RRM measurement parameters include an inter-frequency cell reselection measurement prioritization for a plurality of neighboring cells, and wherein determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) a UE-based inter-frequency cell reselection measurement prioritization based at least in part on the mobility prediction for the UE, and determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) the inter-frequency cell reselection measurement prioritization based at least in part on at least one of the UE-based inter-frequency cell reselection measurement prioritization, a network-based inter-frequency cell reselection measurement prioritization, or a tradeoff parameter.

In a fifteenth aspect, alone or in combination with one or more of the first through fourteenth aspects, process <NUM> includes receiving (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM>, and/or the like) an indication of the network-based inter-frequency cell reselection measurement prioritization and an indication of the tradeoff parameter in at least one of system information, or an RRC connection release communication. In a sixteenth aspect, alone or in combination with one or more of the first through fifteenth aspects, the one or more RRM measurement parameters include an inter-RAT target measurement prioritization for a plurality of neighboring RATs, and wherein determining the one or more RRM measurement parameters comprises determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) a UE-based inter-RAT target measurement prioritization based at least in part on the mobility prediction for the UE, and determining (e.g., using receive processor <NUM>, transmit processor <NUM>, controller/processor <NUM>, memory <NUM>, RRM measurement parameter component <NUM>, and/or the like) the inter-RAT target measurement prioritization based at least in part on at least one of the UE-based inter-RAT target measurement prioritization, a network-based inter-RAT target measurement prioritization, or a tradeoff parameter.

In a seventeenth aspect, alone or in combination with one or more of the first through sixteenth aspects, process <NUM> includes receiving (e.g., using antenna <NUM>, DEMOD <NUM>, MIMO detector <NUM>, receive processor <NUM>, controller/processor <NUM>, memory <NUM>, reception component <NUM>, and/or the like) an indication of the network-based inter-RAT target measurement prioritization and an indication of the tradeoff parameter in at least one of system information, or an RRC connection release communication.

<FIG> is a block diagram of an example apparatus <NUM> for wireless communication. The apparatus <NUM> may be a UE (e.g., UE <NUM> of one or more of <FIG>), or a UE may include the apparatus <NUM>. In some aspects, the apparatus <NUM> includes a reception component <NUM> and a transmission component <NUM>, which may be in communication with one another (for example, via one or more buses and/or one or more other components). As shown, the apparatus <NUM> may communicate with another apparatus <NUM> (such as a UE <NUM>, a base station <NUM>, or another wireless communication device) using the reception component <NUM> and the transmission component <NUM>. As further shown, the apparatus <NUM> may include one or more of a mobility prediction component <NUM>, an RRM measurement parameter component <NUM>, or an RRM measurement component <NUM>, among other examples.

In some aspects, the apparatus <NUM> may be configured to perform one or more operations described herein in connection with <FIG>. Additionally or alternatively, the apparatus <NUM> may be configured to perform one or more processes described herein, such as process <NUM> of <FIG>. In some aspects, the apparatus <NUM> and/or one or more components shown in <FIG> (e.g., components <NUM>, <NUM>, and/or <NUM>-<NUM>) may include one or more components of the UE described above in connection with <FIG>, such as an antenna <NUM>, a MOD <NUM>, a DEMOD <NUM>, MIMO detector <NUM>, a receive processor <NUM>, a transmit processor <NUM>, a TX MIMO processor <NUM>, a controller/processor <NUM>, memory <NUM>, sensor(s) <NUM>, and/or the like). Additionally, or alternatively, one or more components shown in <FIG> may be implemented within one or more components described above in connection with <FIG>. Additionally or alternatively, one or more components of the set of components may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by a controller or a processor to perform the functions or operations of the component.

In some aspects, the reception component <NUM> may include one or more antennas <NUM>, a demodulator <NUM>, a MIMO detector <NUM>, a receive processor <NUM>, a controller/processor <NUM>, a memory <NUM>, or a combination thereof, of the UE described above in connection with <FIG>.

In some aspects, the transmission component <NUM> may include one or more antennas <NUM>, a modulator <NUM>, a transmit MIMO processor <NUM>, a transmit processor <NUM>, a controller/processor <NUM>, a memory <NUM>, or a combination thereof, of the UE described above in connection with <FIG>. In some aspects, the transmission component <NUM> may be collocated with the reception component <NUM> in a transceiver.

The mobility prediction component <NUM> may determine a mobility prediction for the apparatus <NUM>. In some aspects, the transmission component <NUM> may transmit an indication of the mobility prediction to the apparatus <NUM>. The RRM measurement parameter component <NUM> may determine one or more RRM measurement parameters based at least in part on the mobility prediction.

In some aspects, reception component <NUM> may receive, from the apparatus <NUM>, an indication of an RRM measurement object and/or an RRM measurement parameter range. In some aspects, the RRM measurement parameter component <NUM> may determine the one or more RRM measurement parameters based at least in part on the RRM measurement object and/or the RRM measurement parameter range.

In some aspects, reception component <NUM> may receive, from the apparatus <NUM>, an indication of an RRM measurement reduction parameter. In some aspects, the RRM measurement parameter component <NUM> may determine whether the mobility prediction satisfies the RRM measurement reduction parameter and may determine the one or more RRM measurement parameters based at least in part on whether the mobility prediction satisfies the RRM measurement reduction parameter.

The RRM measurement component <NUM> may perform one or more RRM measurements based at least in part on the one or more RRM measurement parameters.

The mobility prediction component <NUM> may include one or more of a receive processor <NUM>, a transmit processor <NUM>, a controller/processor <NUM>, a memory <NUM>, and/or sensor(s) <NUM>. The RRM measurement parameter component <NUM> may include one or more of a receive processor <NUM>, a transmit processor <NUM>, a controller/processor <NUM>, and/or a memory <NUM>. The RRM measurement component <NUM> may include one or more of a receive processor <NUM>, a transmit processor <NUM>, a controller/processor <NUM>, and/or a memory <NUM>.

The mobility prediction component <NUM>, the RRM measurement parameter component <NUM>, and/or the RRM measurement component <NUM> may a memory. The mobility prediction component <NUM>, the RRM measurement parameter component <NUM>, and/or the RRM measurement component <NUM> may one or more processors operatively coupled to the memory, the memory and the one or more processors configured. The mobility prediction component <NUM>, the RRM measurement parameter component <NUM>, and/or the RRM measurement component <NUM> may one or more instructions that, when executed by one or more processors of a UE, cause the UE to determine a mobility prediction for the UE, determine one or more RRM measurement parameters based at least in part on the mobility prediction, and perform one or more RRM measurements based at least in part on the one or more RRM measurement parameters.

The mobility prediction component <NUM> may include means for determining a mobility prediction for the apparatus. The RRM measurement parameter component <NUM> may include means for determining one or more RRM measurement parameters based at least in part on the mobility prediction. The RRM measurement component <NUM> may include means for performing one or more RRM measurements based at least in part on the one or more RRM measurement parameters.

<FIG> is a block diagram of an example apparatus <NUM> for wireless communication. The apparatus <NUM> may be a BS (e.g., BS <NUM> of one or more of <FIG>), or a BS may include the apparatus <NUM>. In some aspects, the apparatus <NUM> includes a reception component <NUM> and a transmission component <NUM>, which may be in communication with one another (for example, via one or more buses and/or one or more other components). As shown, the apparatus <NUM> may communicate with another apparatus <NUM> (such as a UE, a base station, or another wireless communication device) using the reception component <NUM> and the transmission component <NUM>. As further shown, the apparatus <NUM> may include a determination component <NUM>.

In some aspects, the apparatus <NUM> may be configured to perform one or more operations described herein in connection with <FIG>. Additionally or alternatively, the apparatus <NUM> may be configured to perform one or more processes described herein. In some aspects, the apparatus <NUM> and/or one or more components shown in <FIG> may include one or more components of the BS described above in connection with <FIG>. Additionally, or alternatively, one or more components <NUM>, <NUM>, and/or <NUM> shown in <FIG> may be implemented within one or more components described above in connection with <FIG>, such as an antenna <NUM>, a DEMOD <NUM>, a MIMO detector <NUM>, a receive processor <NUM>, a controller/processor <NUM>, a memory <NUM>, a transmit processor <NUM>, a TX MIMO processor <NUM>, a MOD <NUM>, and/or the like. Additionally or alternatively, one or more components of the set of components may be implemented at least in part as software stored in a memory. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by a controller or a processor to perform the functions or operations of the component.

In some aspects, the reception component <NUM> may include one or more antennas <NUM>, a demodulator <NUM>, a MIMO detector <NUM>, a receive processor <NUM>, a controller/processor <NUM>, a memory <NUM>, or a combination thereof, of the BS <NUM> described above in connection with <FIG>.

In some aspects, the transmission component <NUM> may include one or more antennas <NUM>, a modulator <NUM>, a transmit MIMO processor <NUM>, a transmit processor <NUM>, a controller/processor <NUM>, a memory <NUM>, or a combination thereof, of the BS <NUM> described above in connection with <FIG>. In some aspects, the transmission component <NUM> may be collocated with the reception component <NUM> in a transceiver.

The determination component <NUM> may determine one or more of an RRM measurement object for the apparatus <NUM>, an RRM measurement parameter range for the apparatus <NUM>, an RRM measurement reduction parameter for the apparatus <NUM>, and/or the like. In some aspects, the reception component <NUM> may receive an indication of the mobility prediction from the apparatus <NUM>.

Modifications and variations may be made in light of the above disclosure.

Claim 1:
A method (<NUM>) of wireless communication for radio resource management, RRM, performed by a user equipment, UE, comprising:
determining (<NUM>) a mobility prediction for the UE;
determining (<NUM>) one or more radio resource management, RRM, measurement parameters based at least in part on the mobility prediction, wherein the RRM measurement parameters comprise one or more of:
a number of RRM measurements that are to be performed for a particular cell and/or for a particular frequency carrier in the particular cell, and
a frequency or time duration between RRM measurements for the particular cell and/or for a particular frequency carrier in the particular cell; and
performing (<NUM>) one or more RRM measurements based at least in part on the one or more RRM measurement parameters.