Patent Description:
In long term evolution (LTE) based telecommunication networks, master information blocks and system information blocks, such as master information block (MIB), system information block1 (SIB <NUM>), SIB2 are broadcast within the cells as a part of providing necessary parameters to complete cell selection for user equipments (UEs). As may be known, the LTE cell broadcasts as defined by the information block SIB2 including plmn-InfoList-r15, if the wireless telecommunication standard as followed is <NUM>th generation (<NUM>) in the LTE cell area. The same indicates that the UE or the end-user device may get access to <NUM> communication standard based service in a cell or area. As a part of indication to the user-equipment, the mobile network operators (MNO) prefer displaying <NUM> indicator in the area where <NUM> based service holds available.

In an example, a non-standalone evolved universal terrestrial radio access new radio (E-UTRA-NR) dual connectivity device (i.e., NSA EN-DC device) displays "<NUM> Basic" technology indicator upon the screen of the user-device, when the EN-DC device is in the LTE cell (either as camped cell in radio resource control (RRC) Idle state, or as LTE PCell in RRC Connected state). The same is accomplished by inclusion of parameter plmn-InfoList-r15 IE in SIB2, i.e., upperLayerIndication-r15 set as TRUE.

<FIG> illustrate constraints with respect to state-of-the-art <NUM> networks according to the related art.

Referring to <FIG>, the network in a particular cell indicates <NUM> support via the block SIB2 and a DCNR bit is also allowed as per subscription (in the broadcast message ATTACH ACCEPT/TAU ACCEPT). In such a scenario, while the UE may avail <NUM> service in that area, however the same still remains a probability and is not guaranteed. Accordingly, to mitigate the risks, the UE is forced to keep <NUM> stack ON, thereby enhancing overall power consumption and an overhead. When the UE is not present in <NUM> area, network may configure measurements for finding <NUM> coverage. This will consume power, if the UE is not in <NUM> area then these measurements are un-necessary. Even if the UE has moved out of <NUM> coverage area, then also the UE keeps measurement ON. The present scenario has been depicted diagrammatically through a state-of-the-art <NUM> network in <FIG>.

As further indicated in <FIG>, when a user is travelling or staying at any particular location, the UE will register and access different networks (3rd generation (<NUM>), 4th generation (<NUM>), <NUM>, Wi-Fi etc.). In initial deployments, availability of <NUM> is based on ENDC. LTE coverage is very large compared to NR and there are chances that the UE is under a LTE cell which has NR cell but can never be connected. If the UE is performing NR measurements under this cell it is very much power consuming as the UE is not present under NR coverage.

Yet another issue often plaguing the state-of-the-art <NUM> networks is that when the UE is not present in <NUM> area, then the UE is still configured to conduct measurements for finding <NUM> coverage, thereby consuming power. If the UE is not within a <NUM> broadcast area, then such measurements prove un-necessary. Overall, the constraint is that despite the UE moving out of <NUM> coverage area, the UE keeps on undertaking the <NUM> measurements and remains on a look-out for <NUM> network coverage. The present scenario has been depicted diagrammatically through a state-of-the-art <NUM> network in <FIG>.

<FIG> illustrates a constraint with respect to state-of-the-art <NUM> networks according to the related art.

Referring to <FIG>, yet another issue as often encountered is the scenario wherein the UE has been initially in the <NUM> coverage area and EN-DC mode is active. As the UE moves away from the <NUM> area, a radio-link failure (RLF) is reported at a new radio (NR) cell, and the UE continues the NR measurements. The present scenario has been depicted diagrammatically through a state-of-the-art <NUM> network in <FIG>.

Referring to <FIG>, as per experimentally-conducted studies, an average of 320mA of power-consumption is realized when the UE is performing NR cell measurement. In contrast, an average of 130mA of power consumption is realized when the UE is not performing NR cell measurement.

Accordingly, there lies a need of obviating aforesaid drawbacks plaguing the state-of-the-art <NUM> networks and the UE.

<CIT> relates to a method for managing inter network switching by a User Equipment (UE) in a wireless communication system. The method includes determining that the UE is in data communication with a first network, determining that a signaling packet data network (PDN) is established for transmitting a Link Switch Message (LSM) for the inter network switching during the data communication with the first network, ignoring to perform a search for a second network until the signaling PDN is established for the first network and establishing the signaling PDN for the first network. Further it provides the method for detecting the condition of retransmission of LSM and provides method to avoid data loss and signaling overhead during inter-network switching.

In the following, the invention is best understood in view of <FIG> and <FIG>. The remaining embodiments, aspects, or examples are included in order to help the reader better understand the invention. Aims of the disclosure are to address at least the above-mentioned problems and/or disadvantages and to provide at least the advantages described below. Accordingly, an aim of the disclosure is to provide a user equipment (UE) information regarding the <NUM>th generation (<NUM>) network availability and accordingly turning ON/OFF the <NUM> stack based on the network availability information.

Additional aims will be set forth in part in the description which follows and, in part, will be apparent from the description, or may be learned by practice of the presented embodiments.

In accordance with an aspect of the disclosure, a method for performing mobility-measurements in new radio (NR) based 5th generation communication-network is provided according to claim <NUM>. According to another aspect of the disclosure, a server in a telecommunication network for performing mobility-measurements in new-radio, NR, based <NUM> communication network is provided according to claim <NUM>.

At least by virtue of aforesaid, the claimed subject matter addresses the problems in state-of-the-art <NUM> based telecommunication networks through at least relying upon one or more of Geo-fencing, Big Data and artificial intelligence (AI) and accessing information regarding the availability of <NUM> network in the vicinity of the UE. As a result, the <NUM> stack is allowed to be selectively turned ON/OFF depending on proximity to the <NUM> coverage or near <NUM> coverage area information, thereby advantageously saving the power consumption by the <NUM> stack.

The above and other aspects, features, and advantages of certain embodiments of the disclosure will be more apparent from the following description taken in conjunctions with the accompanying drawings, in which:.

Throughout the drawings, like reference numerals will be understood to refer to parts, components, and structures.

Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the various embodiments described herein can be made without departing from the scope of disclosure.

It will be understood by those skilled in the art that the foregoing general description and the following detailed description are explanatory of the disclosure and are not intended to be restrictive thereof.

Reference throughout this specification to "an aspect", "another aspect" or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosure. Thus, appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by "comprises. a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.

The disclosure relates to wireless communication network, which renders the flexibility to a UE to selectively turn ON/OFF the <NUM> modem stack based upon the availability of <NUM> networks in vicinity.

<FIG> illustrates a method for performing mobility-measurements in new radio (NR) based 3GPP mobile communication-network according to an embodiment of the disclosure.

Referring <FIG>, the present method relates to furnishing <NUM> network availability information, in accordance with another embodiment of the present subject matter. Specifically, there is provided a method of furnishing <NUM> area availability using Big Data and artificial intelligence (AI).

Operation <NUM> refers a Big data Server collects data from multiple devices and applies AI/machine learning (ML) to detect <NUM> area. Big data & AI/ML decides <NUM> locations and shares with device.

The present operation <NUM> corresponds to receiving operation 502a network-information with respect to a geographical-area from one or more UEs operating in the geographical-area for a pre-defined duration of time. In an implementation, the network information corresponds to a physical cell identifier (PCI) for at least one of a <NUM> cell and a <NUM> cell, an SIB2 indicator, a <NUM> Cell signal information, a UE location, public land mobile network (PLMN) info, Second cell group (SCG) failure info, Beam information, and <NUM> cell count in a track area identifier (TAI).

At operation 502b, the method comprises classifying at 502b the received network-information at various time-instants during the pre-defined duration of time as at-least one of: an NR spectrum availability and NR spectrum non-availability. In an implementation, the classifying comprises processing the received information over a period of time by a cloud server based on machine-learning criteria to classify the location as at least one of a <NUM> network and <NUM> network based.

At operation 502c, the method comprises calculating an overall-probability of availability of the NR spectrum within the area for a time-instant subsequent to pre-defined duration of time based on the classified network information. In an implementation, the calculating comprises identifying a density of <NUM> cells in <NUM> cell with respect to the location based on clustering-criteria. The clustering criteria is defined by classifying received network-information into one or more <NUM> cell clusters.

Operation <NUM> refers the UE receiving <NUM> area geographical-locations and the calculated probability from the server for the current location of the UE. The UE checks current location and provides <NUM> probability information to an in-built modem.

At operation <NUM>, it is checked at the UE if there is some probability of getting <NUM> and network has configured measurement. At operation <NUM>, the modem changes frequency of scan and gap between scan for <NUM> as otherwise set as per default arrangement.

At operation <NUM>, the modem performs less frequent scan based on probability. At operation <NUM>, If <NUM> is found, then the UE inform big data-server.

However, at operation <NUM>, if the probability of getting <NUM> is NULL or minimum, then at operation <NUM> the modem keeps <NUM> stack off. As a result, at operation <NUM>, the modem does not perform any measurement.

In an implementation, the receiving operation 502a of the network-information, the classifying operation 502b of the received network-information and the computing operation 502c of the probability is executed by either a mobile management entity (MME) forming a part of the communication network (LTE-<NUM>) or an access and mobile management function (AMF) node forming a part of the communication-network (<NUM>-NR). Accordingly, the computed-probability the MME or the AMF is communicated to the UE for enabling the UE to schedule the NR measurements.

Further, at least one of the receiving operation 502a of network information the classifying operation 502b of the received network-information and the computing of probability operation 502c causes the network entity (say MME or AMF) forming a part of a core communication network to control a base station (gNB) through adjustment of NR measurements configuration parameters and thresholds based on the computed probability. Likewise, the management of NR measurement configurations at the base station (gNB) is also based on the computed probability.

In yet another implementation, the network information is received at operation 502a, and classified (502b) by a network entity. The network entity comprises a <NUM> core network, <NUM> core network, eNodeB, gNodeB, and network function blocks. The network entity calculates at operation 502c the overall probability of the NR spectrum within the area based on the classified network information, and modifies the NR measurements configuration parameters and thresholds for the at least one UE based on the computed probability.

In other implementation, the steps, such as receiving operation 502a of network information, classifying operation 502b of the received network-information, and computing of probability at operation 502c cause the network entity to: adjust NR measurements configuration parameters and thresholds based on the computed probability; manage NR measurement configurations based on the computed probability.

Referring <FIG>, elaborated method for furnishing <NUM> network availability information is illustrated through an interaction between Big Data server <NUM>, AP <NUM>, modem <NUM> and gNodeB <NUM>, in accordance with an embodiment of the present subject matter and accordingly refers the process operations <NUM> till <NUM> of <FIG> according to an embodiment of the disclosure. The Big Data server <NUM> may be a mobile edge computing server or a remote cloud server.

Operation <NUM> illustrates the Big Data server <NUM> getting data from all the devices and correspond to operation <NUM>. Based on AI, the Big Data server <NUM> determines <NUM> area and provides this information to devices. The same corresponds to the method operation <NUM>. Accordingly, a signaling operation <NUM>(a) illustrates the transmission of signal from Big Data server <NUM> to AP <NUM> regarding the <NUM> area information and corresponds to operation <NUM>.

Operation <NUM> illustrates the AP <NUM> of the device checking if location is in <NUM> coverage and accordingly corresponds to the method operation <NUM>. If the answer is yes, then AP <NUM> informs the modem <NUM> about <NUM> availability via the signaling operation <NUM>(b). If the answer is no, then AP <NUM> informs the modem <NUM> about <NUM> non-availability via the signaling operation <NUM>(a) and <NUM> (c).

Operation <NUM> illustrates the modem <NUM> storing <NUM> measurement configuration but not turning ON <NUM> stack, and accordingly corresponds to the operations <NUM> and <NUM>.

Operation <NUM> illustrates the modem <NUM> turning on <NUM> stack and <NUM> related activities in modem (ex. <NUM> measurement), and accordingly corresponds to the operations <NUM> and <NUM>.

Operation <NUM> illustrates the modem <NUM> handling measurement configuration and applying to <NUM> stack as the UE is near <NUM> coverage and accordingly corresponds to the operation <NUM>. In operation <NUM>, the AP device checks if location if out of <NUM> coverage.

Operations <NUM>(a) and <NUM>(b) illustrate the measurement configuration as a part of standard RRC signal from gNodeB <NUM> to the modem <NUM>.

Overall, as <NUM> will get deployed only in certain areas, devices or UEs which are in <NUM> area keeps reporting Information to Big data server about <NUM> coverage and location. Based on server data base and AI, the server creates <NUM> available area information. <NUM> availability information is shared by the server to the UE. Device can use this information for turning <NUM> and performing <NUM> measurements.

<FIG> illustrates data parameters according to an embodiment of the disclosure.

Referring <FIG>, these parameters represented in Table <NUM> correspond to the signaling data (defined as per 3GPP standards) collected by the server during operation 502a. More specifically, Table <NUM> corresponds to the type of received information which is classified at operation 502b at different time-instants as corresponding to either NR spectrum availability or non-availability.

<FIG> illustrates reporting by devices to a server according to an embodiment of the disclosure. Referring to <FIG>, reporting by devices, such as the UE to the server as per operation 502a is illustrated, and accordingly indicates devices in field reporting big data events. In an example, the events may be "SCG failure" event, "Weak <NUM> Cell" reported, "Mid signal <NUM> cell" reported, and "Strong signal <NUM> cell" reported according to an embodiment of the disclosure.

The forthcoming description of <FIG> and <FIG> refer an example illustration of the "Classification of areas as NR availability/NR non-availability" of a given area into <NUM> or non-<NUM> areas at least based on the network information of Table <NUM>. Such classification is derived at least based on the classification operations 502b and further computation of probabilities (i.e., operation 502c) that numerically quantifies the probability of done classification. Overall, operations 502b and 502c conjointly represent the classification "Classification of areas as NR availability/NR non-availability".

<FIG> illustrates a procedure to determine <NUM> locations according to an embodiment of the disclosure.

Referring to <FIG>, a procedure to determine <NUM> locations is illustrated and accordingly correspond to server operation with respect to operation 502b, according to an embodiment of the disclosure.

In an example, using K-Means Clustering algorithm, density of <NUM> cells in <NUM> cell can be identified. Clustering will partition data into groups of similar points (here <NUM> cells). Clustering will be created based on global positioning system (GPS) coordinates and SIB2 indicator, signal strength and other data accessed from Big Data parameters.

To identify a <NUM> cell cluster region, for all the N GPS points, each GPS point "xi" may be assigned to one of the K clusters to identify <NUM> cells presence. That means a cluster whose center is closest to the GPS point is represented by:
<MAT>.

Thereafter, the cluster means mk is updated
<MAT>.

Based on an integration of above two assignment and updating steps, the <NUM> cells cluster (<NUM> Cell <NUM>, <NUM> Cell <NUM>, <NUM> Cell <NUM>) is obtained. Based on this probability of finding <NUM> cells is derived.

<FIG> illustrates computation of probabilities by server according to an embodiment of the disclosure.

Referring to <FIG>, the server computing numerical probabilities in accordance with operation 502c based on the classification of operation 502b is illustrated.

More specifically, the Big Data AI operating in the server determines <NUM> locations. The Big data AI determines <NUM> availability area and a resultant probability as <NUM>, <NUM>, <NUM> etc for different areas or PCI areas in a <NUM> cell. As shown, within the <NUM> Area PCI, the probability of accessing <NUM> services is <NUM>. However, outside the PCI, the probability is <NUM> and remains <NUM> at the boundaries of PCI.

<FIG> and <FIG> illustrate RF-Scan optimization by a UE according to various embodiments of the disclosure.

Referring to <FIG> and <FIG>, at operation <NUM>, the Big Data server determines <NUM> locations and probability in accordance with operations 502a till 502c.

At operation <NUM>, the UE receives <NUM> area locations and probability from server in accordance with operations <NUM>. The UE checks current location and provides <NUM> possibility to modem in accordance with operation <NUM>.

At operation <NUM>, based on <NUM> probability, modem changes frequency of scan and gap between scan for <NUM> in accordance with operations508 and <NUM>.

At operation <NUM>, the RF measurements are controlled by both modem and Big data intelligence at the server for optimization. In an example, as further indicated, when <NUM> probability is less say <NUM>, then less frequent scan is performed. However, when <NUM> probability is high say <NUM>, then normal or default network configured scan is performed.

At least based on aforesaid, the UE can be provisioned with <NUM> area and <NUM> probability information using below alternate methods:.

Overall, the <NUM> Information can be given by another nearby device using device to device (D2D) technology. If device is connected with Wi-Fi then it can request server to provide <NUM> information.

<FIG> illustrates a method for furnishing <NUM> network availability information according to an example useful for understanding the disclosure which falls outside of the scope of the claimed invention.

Referring to <FIG>, operation <NUM> illustrates the UE accessing the apps for determining the current location of the device. The same refers to determining new radio (NR) cell locations corresponding to a current-location of a mobile-device at-least based on an online-geographical map.

Operation <NUM> illustrates ascertaining, based on the known <NUM> cell locations, an approximate <NUM> coverage radiuses based on frequency bands FR1 or FR2 coverage. The same refers to computing an extent of NR coverage associated with current-location based on an availability of with at least one of a first frequency range (FR1) and a second frequency range (FR2) for telecommunication by the UE. The computing corresponds to operation 502b. Accordingly, a UE is enabled at scheduling NR measurements within the area based on ascertaining if the UE is within or nearby the NR coverage.

Operation <NUM> illustrates the UE checking if the current location is within <NUM> coverage area or near <NUM> coverage boundary.

Operation <NUM> illustrates the informing the current location aligned with <NUM> coverage areas (if the answer to operation <NUM> is yes) to modem and turn on <NUM> stack. The Modem or AP processor within the UE activates <NUM> modem, and maintains it active.

Operation <NUM> illustrates the Modem/AP processor activating <NUM> stack, and performing <NUM> measurement as configured by network.

Operation <NUM> illustrates determining that the UE is not in proximity of <NUM> coverage, if answer to the operation <NUM> is NO, thereby turning OFF the <NUM> stack.

Operation <NUM> illustrates the device or the UE not performing any NR measurement, as device knows that it's out of <NUM> coverage. This state is maintained even if network configures <NUM> measurements.

<FIG> illustrates elaborated method for furnishing <NUM> network availability information through an interaction between an AP (<NUM>), a modem (<NUM>), and a gNodeB (<NUM>) according to an example useful for understanding the disclosure which falls outside of the scope of the claimed invention.

Referring to <FIG>, operation <NUM> executed by the AP (<NUM>) illustrates fetching <NUM> Cell tower location and radius from server or from local data base, thereby corresponding to the combination of the method operation <NUM> and operation <NUM>.

Operation <NUM> executed by the AP (<NUM>) illustrates AP (<NUM>) checking if location is near <NUM> coverage, thereby corresponding to the method operation <NUM>. If the answer is yes, then AP (<NUM>) informs the modem (<NUM>) about <NUM> availability via the signaling operation <NUM>(b). If the answer is no, then AP (<NUM>) informs the modem (<NUM>) about <NUM> non-availability via the signaling operation <NUM>(a).

Operation <NUM> illustrates the modem (<NUM>) storing <NUM> measurement configuration but not turning ON <NUM> stack and accordingly corresponds to the operations <NUM> and <NUM>.

Operation <NUM> illustrates the modem (<NUM>) turning on <NUM> stack and <NUM> related activates in modem (e.g. <NUM> measurement) and accordingly corresponds to the operations <NUM> and <NUM>.

Operation <NUM> illustrates the modem (<NUM>) handling measurement configuration and applies to <NUM> stack as UE is near <NUM> coverage.

Operations <NUM>(a) and <NUM>(b) illustrate the measurement configuration as a part of standard RRC signal from gNodeB (<NUM>) to the modem (<NUM>).

Overall, through the present embodiment, the present method furnishes <NUM> area availability information to the UE using Geo-fencing. Based on the identification of the <NUM> cell locations, the UE detects the current location and based thereupon analyses if the device is already in <NUM> coverage area or not. In an example, in android based operating systems, the geo-fencing APIs are available to check the device current location. Accordingly, in the present example, the location information is at least determined through the Android, thereby enabling the UE to use this location information to determine if the device is located within <NUM> available area or not.

Overall, the present embodiment facilitates the devices already in <NUM> area at reporting information to Big data server about <NUM> coverage and location. Based on the server database and AI, the server creates a <NUM> available area information. The <NUM> availability information is shared by big data server with the device. The device can further use this information for turning ON <NUM> stack modem and performing <NUM> measurements.

At least by virtue of aforesaid features, the present subject matter at least renders various salient features in respect of the present subject matter as follows:.

The <NUM> stack remaining OFF when the UE is not in <NUM> coverage or near <NUM> coverage area.

In real time, the UE learns the <NUM> availability and keeps on updating its data base.

The location information that is already available in the AP of device is ascertained from the app and accordingly used for determine the network coverage.

Usage of Big data & AI help in sharing location information to device and <NUM> availability.

At least by virtue of aforesaid, the present subject matter achieves an efficient power saving as <NUM> stack is kept OFF during un-availability of <NUM> networks i.e., the UE does not perform un-necessary measurements when the UE is aware that it's not in <NUM> coverage proximity. The solution as rendered may be applied, for example in multi-random access technology (RAT) (MR)-DC architecture options and SA mode with respect to <NUM> wireless communication standard and the other analogous standards.

Overall, at least by virtue of aforesaid, <NUM> Coverage is determined from <NUM> tower location or Big data analysis. As per state of the art, <NUM> Coverage is determined with RF measurements. In contrast to the state-of-the-art triggered RF measurement consuming <NUM>-<NUM> mA for finding location, the GPS merely consumes approx. extra <NUM>-<NUM> mA for finding location <NUM>-<NUM> mA. Further, scan interval and frequency are optimised based on probability of getting <NUM> and network measurement configuration.

The embodiments as depicted aforesaid at least yield the following advantages:.

<FIG> illustrates a state-of-the-art performance of beam measurement according to an embodiment of the disclosure.

Referring to <FIG>, if the UE does not have any Tx beam information or any assistance information from gNB (medium access control (MAC)-control element (CE)), the UE has to continuously perform exhaustive beam searching and choose the best beam/beams. This process is battery inefficient and time taking (causing higher latency). In an example, the situation turns worse in case of Ultra Reliable Low Latency (URLLC) scenarios.

If the UE is in idle mode i.e., no network assistance to switch beam ids or transmission configuration indicator (TCI) state information from MAC CE, then it's up to the UE implementation how it will camp on to or choose the correct beam id. In worst case scenario the UE will have to perform an exhaustive search to camp on to correct Tx and Rx beam. This is a high power consuming procedure and latency of selecting correct beam is also high. Moreover, if the UE does not have any information of selecting beam id then it has to perform exhaustive search.

Overall, the selection of correct beam not only depends upon current serving cell, it will also depend upon the current UE location within that cell. The selection of current beam also depends upon rotation or position of the UE at x, y and z axis. The state-of-the-art is at least plagued with the problem as to how the UE will handle if it finds the learned beams have temporary blockage or not satisfying reference signal receive power (RSRP)/reference signal received quality (RSRQ) or signal-to-interference-plus-noise ratio (SINR) criteria.

<FIG> and <FIG> illustrate methods for transmission-reception beam (Tx-Rx) pair selection in 3GPP mobile communication-network according to various examples useful for understanding the disclosure which falls outside of the scope of the claimed invention.

Referring to <FIG> and <FIG>, the method comprises accessing operation <NUM> a pre-stored beam information by a UE in respect of one or more locations. More specifically, the accessing operation <NUM> comprises storing operation 1202a a plurality of beam information with respect to a serving beam by a UE in respect of one or more locations and location-visit by the UE in operation <NUM>. Thereafter, the stored beam information is classified at operation 1202b as at-least one of cell details, beam pair details, usage information, route details. Upon visit to a location by the UE, the method further comprises switching operation <NUM> onto a particular transmission-reception beam pair (Tx-Rx) based on the accessed beam information. Optionally, the method additionally comprises predicting operation <NUM> a transmission-reception beam-direction with respect to the location based on at least one of previous Tx/Rx beam direction, an amount of displacement of the UE from previous visited location, and a direction of the current location relative to previous location.

Referring to <FIG>, the UE will learn the beam ids for particular PCIs. The UE will select best beam based on the learning information. The UE will save battery and reduce latency by not performing exhaustive beam search operation.

In an example, if the UE is following same route everyday (e.g. home to office or office to home) and it learns:.

The UE can find the correct beam id or switch Tx and Rx beam pair very swiftly compared to the existing procedures. For example, if the UE can figure out based on learning for cell id <NUM> possible best Tx beam ids will be <NUM>, <NUM> and <NUM> and corresponding best Rx Beam will be <NUM>, <NUM> and <NUM> respectively at the current UE location and orientation (x , y and z axis position of the UE), the UE can only search those beams and camp on any one of those beams based on RSRP/RSRQ or SINR values.

<FIG> illustrates a schema for storing Beam Information according to an example useful for understanding the disclosure which falls outside of the scope of the claimed invention.

Referring to <FIG>, the schema comprises cell details, beam pair details, usage information and route details. The same denotes testing, validation data as a part of machine learning enabled beam learning pursued by the UE as a part of operation <NUM>.

<FIG> illustrate beam-selections depending on a UE-location according to various examples useful for understanding the disclosure which falls outside of the scope of the claimed invention.

Referring to <FIG>, with respect to the current location and based on the accessed beam information, a previously logged position of the UE in three dimensions is compared with a current-position of the UE in three dimensions to thereby determine an angular deviation and causing the switching onto the particular transmission-reception beam pair (Tx-Rx).

Referring to <FIG>, while the UE is camped on a particular Tx beam based on previous learning information and the UE is moving or routing through a known path, the UE will keep on switching appropriate Tx and Rx beams without performing any exhaustive beam searching.

The UE will have a "location listener" which will monitor location-change information of the UE as depicted in operation <NUM>. Now if location listener detects any location change of the UE in operation <NUM>, the UE decides in operation <NUM> whether current Tx/Rx beam pair is having RSRP/RSRQ or SINR or the UE needs to switch to a different Tx/Rx pair based on previous learned information, and changes the Tx/Rx pair in operation <NUM>.

Even the learning information is not available with the UE for that particular location the UE can intuitively predict the Tx/Rx beam direction based on the previous Tx/Rx beam direction, amount of shift from previous location and direction of location shift. Based on that change, different Tx/Rx pair is resorted to. <FIG> represents switching to different Tx/Rx pair based on the decision making in <FIG>.

<FIG> illustrate beam-selections depending on intermediate-blockage according to various examples useful for understanding the disclosure which falls outside of the scope of the claimed invention.

Referring to <FIG>, the beam selection corresponds comprises determining the currently switched Tx/Rx pair as exhibiting temporary or permanent blockage based on detecting underlying RSRP/RSRQ/SINR values. One or more other Tx/Rx pair are searched for further switching by recursively searching in the direction of the currently selected Tx/Rx pair. RSRP/RSRQ or SINR value of the searched Tx/Rx pair are determined as better than currently-selected Tx/Rx pair to thereby enable the further switching on to the searched Tx/Rx pair.

Referring to <FIG>, the selection of Tx and Rx beam pair will not only depend upon location of the UE but also upon position of the UE along x,y and z axis. Therefore, even if the UE finds out that the UE has been in the current location earlier (based on learning information as depicted in <FIG>), the UE has to take into account the previous position along x,y and z axis and current x,y and z axis position (i.e., planner rotation along the axis) to figure out the proper Tx/Rx beam pair or at least the beam direction the UE has to perform the beam searching. The same at least reduces the complexity of exhaustive beam search and make the beam switching faster.

From <FIG>, it may be seen that selection of Tx and Rx beam will be a function of position of UE along x, y and z axis i.e., F)(α,β). Accordingly, the UE has to apply relative rotation (i.e., based on previous rotation along x,y and z axis) calculation after it finds out the beam id or beam direction based on current UE location.

In an implementation, it may be possible that Tx or Rx beam may be blocked temporarily or permanently due to some environmental condition or power limitation of either or both of the gNB and the UE. In these cases, the UE tries to find next possible best Tx/Rx beam pair. If the UE finds out that the selected Tx/Rx pair has bad RSRP/RSRQ or SINR values (it signifies that Tx/Rx beam may have temporary or permanent blockage), the UE will try to find best beam pair by recursively searching in both the direction of blocked beams until the UE finds suitable beam pair.

The UE will also monitor the previous selected beam RSRP/RSRQ or SINR values to see if blockage is removed or still persisting. If blockage removed i.e., if the UE finds RSRP/RSRQ or SINR value of the previous selected Tx/Rx beam is better than current camped Tx/Rx beam pair, the UE will camp on the previous selected beam pairs.

In case the UE cannot find the suitable beam pairs the UE will fall back to exhaustive searching after a configured threshold time as per state of the art. In contrast and as explained with respect to <FIG>, as Tx beam (<NUM>,<NUM> and <NUM>) and Rx beam (<NUM>,<NUM>,<NUM>) are blocked, the UE will search for beam pairs in both direction (i.e., Rx beam <NUM>, <NUM> and Tx beam <NUM> and <NUM> will be measured) recursively until the UE finds suitable beam pair to camp on. For suitable beam pair, the UE will apply a configured RSRP/RSRQ or SINR threshold to prevent exhaustive search. In other example, the UE can also apply binary searching pattern rather than recursive approach. i.e., if the UE finds Tx beam <NUM> is better than Tx beam <NUM>, the UE will search beam id <NUM>. If it finds beam <NUM> is better than beam id <NUM> it will camp on Tx beam id <NUM>.

Claim 1:
A method for performing mobility-measurements in new radio, NR, based 5th generation, <NUM>, communication-network, the method being executed by a server and comprising:
receiving (<NUM>) network-information for a plurality of time-instances with respect to a geographical-area from one or more user equipments, UEs, operating in the geographical-area for a pre-defined duration of time;
classifying (502b) the the received network-information for the plurality of time-instants as at-least one of: an NR spectrum availability and an NR spectrum non-availability;
calculating (502c) an overall probability of availability of the NR spectrum within the geographical area based on the classified network information; and
enabling (<NUM>) a UE from amongst a plurality of UEs to schedule NR measurements within the geographical area based on the calculated overall probability.