# Patent

## Title
Steering matrix feedback for beamforming

## Abstract

A first network device including a calibration module, a steering module, and a control module. The calibration module is configured to determine whether a second network device is capable of generating steering data for the first network device, wherein the steering data corresponds to data for steering signals in a desired direction. The steering module is configured to, if the second network device is not capable of generating the steering data for the first network device, receive channel state information from the second network device and determine the steering data based on the channel state information. The control module is configured to receive the steering data from the second network device if the second network device is capable of generating the steering data for the first network device.

## Background
CROSS-REFERENCE TO RELATED APPLICATIONS
This application is a continuation of U.S. patent application Ser. No. 12/535,349 filed on Aug. 4, 2009 which is a continuation of U.S. patent application Ser. No. 11/481,142, filed Jul. 5, 2006, now U.S. Pat. No. 7,847,732, which claims the benefit of U.S. Provisional Application No. 60/749,550, filed Dec. 12, 2005. The disclosures of the above applications are incorporated herein by reference in their entirety.


FIELD
The present disclosure relates to wireless network devices, and more particularly to directing radio frequency signals toward a particular target.
BACKGROUND
IEEE defined several different standards for configuring wireless networks and devices. The wireless network devices may be operated in either an infrastructure mode or an ad-hoc mode. In the infrastructure mode, the wireless network devices or client stations communicate with each other through an access point. In the ad-hoc mode, the wireless network devices communicate directly with each other and do not employ an access point. The term client station or mobile station may not necessarily mean that a wireless network device is actually mobile. For example, a desktop computer that is not mobile may incorporate a wireless network device and operate as a mobile station or client station. A wireless network that operates in the infrastructure mode includes an access point (AP) and at least one client station that communicates with the AP.
Referring now to FIG. 1, a first wireless network 10 is illustrated in an infrastructure mode. The first wireless network 10 includes one or more client stations 12 and one or more access points (AP) 14. The client station 12 and the AP 14 transmit and receive wireless signals 16. The AP 14 is a node in a network 18. The network 18 may be a local area network (LAN), a wide area network (WAN), or another network configuration. The network 18 may include other nodes such as a server 20 and may be connected to a distributed communications system 22 such as the Internet.
Referring now to FIG. 2, a second wireless network 24 operates in an ad-hoc mode. The second wireless network 24 includes multiple client stations 26-1, 26-2, and 26-3 that transmit and receive wireless signals 28. The client stations 26-1, 26-2, and 26-3 collectively form a LAN and communicate directly with each other.
To improve range, signal quality, and bandwidth, some wireless network devices may employ multiple transmit and receive antennas. The network devices may steer signals launched from an array of antennas to improve performance.
SUMMARY
In general, in one aspect, this specification discloses a first network device that includes a calibration module configured to receive a radio frequency signal from a second network device. The radio frequency signal indicates the second network device is capable of adjusting beamforming weights associated with the second network device based on a steering matrix received from the first network device. The first network device further includes a steering module configured to determine a first steering matrix for the second network device based on the radio frequency signal. The steering module is further configured to transmit the first steering matrix to the second network device for adjustment of the beamforming weights associated with the second network device.
Further areas of applicability of the present disclosure will become apparent from the detailed description provided hereinafter. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the disclosure, are intended for purposes of illustration only and are not intended to limit the scope of the disclosure.



BRIEF DESCRIPTION OF THE DRAWINGS
The present disclosure will become more fully understood from the detailed description and the accompanying drawings, wherein:
FIG. 1 is functional block diagram of a wireless network operating in an infrastructure mode;
FIG. 2 is a function block diagram of a wireless network operating in an ad-hoc mode;
FIG. 3 is a functional block diagram of an exemplary multiple input multiple output (MIMO) wireless network;
FIG. 4 is a flowchart illustrating exemplary steps that may be implemented to adjust beamforming weights associated with a network device;
FIG. 5 is a flowchart illustrating exemplary steps that may be implemented to provide channel state information (CSI) feedback to the network device;
FIG. 6 is a functional block diagram of an exemplary multiple input multiple output (MIMO) wireless network that has primary and secondary network devices;
FIG. 7 is a flowchart illustrating exemplary steps that may be implemented by the primary network device in determining a steering matrix for the secondary network device;
FIG. 8 is a flowchart illustrating exemplary steps that may be implemented by the secondary network device in determining a steering matrix;
FIG. 9A is a functional block diagram of a high definition television;
FIG. 9B is a functional block diagram of a vehicle control system;
FIG. 9C is a functional block diagram of a cellular phone;
FIG. 9D is a functional block diagram of a set top box; and
FIG. 9E is a functional block diagram of a media player.



DETAILED DESCRIPTION
The following description is merely exemplary in nature and is in no way intended to limit the disclosure, its application, or uses. For purposes of clarity, the same reference numbers will be used in the drawings to identify similar elements. As used herein, the term module, circuit and/or device refers to an Application Specific Integrated Circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that provide the described functionality. As used herein, the phrase at least one of A, B, and C should be construed to mean a logical (A or B or C), using a non-exclusive logical or. It should be understood that steps within a method may be executed in different order without altering the principles of the present disclosure.
Referring now to FIG. 3, an exemplary multiple input multiple output (MIMO) network as described in IEEE 802.11(n) draft specification (as proposed in Enhanced Wireless Consortium, HT PHY Specification v1.28, Jan. 2, 2006 and Enhanced Wireless Consortium, HT MAC Specification v1.28, Dec. 23, 2005), which is incorporated by reference in its entirety, is depicted at 100. A first device 102, such as an access point (AP) or a client station, may communicate with a second device 104, such as an AP or client station. When the first and second devices 102, 104 communicate with each other they may be generally referred to as link partners.
The first and second devices 102 and 104 include physical layer (PHY) modules 111 and 118 and media access control (MAC) modules 123 and 129, respectively. The first device 102 device may include a first set of antennas 106-1, 106-2, . . . , and 106-n and the second device 104 may include a second set of antennas 108-1, . . . , and 108-m. The first device 102 may parse a single frame into multiple spatial streams and then simultaneously transmit multiple RF signals 110 to the second device 104. The second device 104 may receive the multiple RF signals 110 and reassemble them into a single frame. Similarly, the second device 104 may simultaneously transmit multiple RF signals 110 to the first device 102, which may reassemble them into a single frame.
To increase transmission rates, the first 102 and second device 104 may utilize beamforming. Beamforming is a method to increase channel capacity, and consequently transmission rates, by increasing signal to noise ratio (SNR) of an RF signal. Beamforming combines RF signals from a set of small non-directional antennas to simulate a directional antenna. The combined RF signals can be pointed (or steered) in a particular direction to increase signal strength, which increases SNR. When receiving a signal, beamforming can increase RF signal gain in the direction of wanted signals and decrease the gain for non-intended users. When transmitting a signal, beamforming can increase the gain in the direction that the signal is to be sent, which may be accomplished by creating beams and nulls in the radiation pattern.
The PHY module 111 includes a beamforming module 112 with a first set of adjustable weights 114-1, 114-2, . . . , and 114-n. Each weight 114-1, 114-2, . . . , and 114-n may be adjusted to manipulate signals received from a respective transceiver 116-1, 116-2, . . . , and 116-n to collectively steer signals launched from the antennas 106 in a particular direction. The weights 114-1, 114-2, . . . , and 114-n are typically complex weights that include an amplitude and a phase shift portion. However, other weight configurations may be possible.
Similarly, the PHY module 118 includes a beamforming module 119 with a second set of adjustable weights 120-1, . . . , and 120-m. Each weight 120-1, . . . , and 120-m may be adjusted to manipulate signals received from a respective transceiver 122-1, . . . , and 122-m to collectively steer signals launched from the antennas 108 in a particular direction. The weights 120-1, . . . , and 120-n are typically complex weights that include an amplitude and a phase shift portion, however other weight configurations may be possible. To adjust the weights 114 and 120, the first and second devices 102, 104 may use channel state information (CSI) feedback. The CSI feedback may include a signal to noise ratio for each RF signal 110.
The MAC module 123 includes a control module 124, a steering module 126, and a calibration module 128. The control module 124, steering module 126, and calibration module 128 may be implemented individually and/or combined into one or more modules. The MAC module 123 may communicate with the PHY module 111. In some embodiments, the calibration module 128 may communicate with RF transceivers 116, the steering module 126 may communicate with the calibration module 128 and the control module 124, and the control module 124 may communicate with the beamforming module 112.
The MAC module 129 includes a second control module 130, a second steering module 132, and a second calibration module 134. The MAC module 129 may communicate with the PHY module 118. In some embodiments, the second calibration module 134 may communicate with RF transceivers 122, the second steering module 132 may communicate with the second calibration module 134 and the second control module 130, and the second control module 130 may communicate with the beamforming module 119.
The first device 102 may obtain CSI from the second device 104 and adjust the weights 114 based thereon. More specifically, the calibration module 128 may generate and transmit a set of training signals to the second device 104. The second calibration module 134 may determine CSI of the training signals and then transmit a CSI matrix that includes CSI for each training signal to the first device 102. When the first device 102 receives the CSI matrix, the steering module 126 may generate a steering matrix based on the CSI matrix. The control module 124 may adjust the weights 114 based on the steering matrix to direct the RF signals 110 toward the second device 104.
In a similar manner, the second device 104 may obtain CSI from the first device 102 and adjust the second set of weights 120 based thereon. More specifically, the second calibration module 134 may generate and transmit a set of training signals to the first device 102. The calibration module 128 of the first device 102 may determine CSI of the training signals and then transmit a CSI matrix that includes CSI for each training signal to the second device 104. When the second device 104 receives the CSI matrix, the second steering module 132 may generate a steering matrix based on the CSI matrix. The second control module 130 may adjust the second set of weights 120 based on the steering matrix to direct the RF signals 110 toward the first device 102.
Referring now to FIG. 4, exemplary steps that may be implemented to adjust the first set of weights 114 are generally depicted at 200. The process starts in step 202 when the first device 102 has data to transmit to the second device 104. In step 204, the calibration module 128 may generate and transmit training signals to the second device 104. In step 206, the calibration module 128 may receive a CSI matrix from the second device 104. The steering module 126 may determine a steering matrix based on the CSI matrix in step 208. Once the steering matrix has been determined, the control module 124 may adjust the first set of weights 114 based on the steering matrix in step 210.
In step 212, the calibration module 128 may determine whether the RF signals 110 are directed toward the second device 104. To determine whether the RF signals 110 are directed toward the second device 104, the calibration module 128 may send a second set of training signals and receive a second CSI matrix based thereon. If the RF signals 110 are directed toward the second device 104, the process ends in step 214. However, if the RF signals 110 are not directed toward the target device, the process may return to step 204. Although the first set of weights 114 are adjusted in this example, skilled artisans will recognize that the second set of weights 120 may be adjusted in a similar manner.
Referring now to FIG. 5, exemplary steps taken to provide CSI feedback are generally depicted at 250. The process begins in step 252 when the first device 102 has data to transmit to the second device 104. In step 254, the second calibration module 134 may receive training signals from the first device 102. In step 256, CSI of the training signals may be determined and a CSI matrix may be generated based thereon. In step 258, the second calibration module 134 may transmit the CSI matrix to the first device 102. The second calibration module 134 may determine if additional training signals are received from the first device 102 in step 260. If the second device 104 does not receive additional training signals, the process may end in step 262. If the second device 104 does receive additional training signals, the process may return to step 256. Although the second device 104 is providing CSI feedback to the first device 102, skilled artisans will recognize that the first device 102 may provide feedback to the second device 104 in a similar manner.
Referring now to FIG. 6, some MIMO networks 300 may be configured to have a primary device 302, such as an AP or a master client station, and a secondary device 304, such as a client station or a slave client station that communicate with each other as link partners. The primary device 302 may capable of processing more data than the secondary device 304. Therefore, the primary device 302 may determine a steering matrix for the secondary device 304 when the devices 302, 304 are compatible. The devices 302, 304 are compatible when the primary device 302 is capable of determining a steering matrix for the secondary device 304, and the secondary device 304 is capable of adjusting the weights 120 based on the steering matrix. Since the secondary device 304 does not have to determine a steering matrix, the secondary device 304 may consume less power, which is advantageous for battery powered devices.
The primary device 302 device may include a set of primary antennas 306-1, 306-2, . . . , and 306-n and the secondary device 304 may include a set of secondary antennas 308-1, . . . , and 308-m. The primary device 302 may parse a single frame into multiple spatial streams and then simultaneously transmit multiple RF signals 310 to the secondary device 304. The secondary device 304 may receive the multiple RF signals 310 and reassemble them into a single frame. Similarly, the secondary device 304 may simultaneously transmit multiple RF signals 310 to the primary device 302, which may then receive and reassemble the RF signals 310 into a single frame.
The primary device 302 may include a PHY module 311 that includes a primary beamforming module 312 with an adjustable set of primary weights 314-1, 314-2, . . . , and 314-n. Each primary weight 314-1, 314-2, . . . , and 314-n may be adjusted to manipulate signals received from a respective primary transceiver 316-1, 316-2, . . . , and 316-n to collectively steer signals launched from the primary antennas 306 in a particular direction. The primary weights 314-1, 314-2, . . . , and 314-n are typically complex weights that include an amplitude and a phase shift portion, however other weight configurations may be possible.
Similarly, the secondary device 304 may include a PHY module 318 that includes a secondary beamforming module 319 with an adjustable set of secondary weights 320-1, . . . , and 320-m. Each secondary weight 320-1, . . . , and 320-m may be adjusted to manipulate signals received from a respective secondary transceiver 322-1, . . . , and 322-m to collectively steer signals launched from the secondary antennas 308 in a particular direction. The secondary weights 320-1, . . . , and 320-n are typically complex weights that include an amplitude and a phase shift portion, however other weight configurations may be possible. To adjust the primary and secondary weights 114 and 120, the primary and secondary devices 302, 304 may use channel state information (CSI) feedback. The CSI feedback may include a signal to noise ratio for each RF signal 310.
The primary device 302 may include a MAC module 323 that includes a primary control module 324, a first steering module 326, a primary calibration module 328, and a second steering module 329. The MAC module 323 may communicate with the PHY module 311. In some embodiments, the primary calibration module 328 may communicate with the RF transceivers 316 and the second steering module 329, the first steering module 326 may communicate with the primary calibration module 328 and the primary control module 324, and the primary control module 324 may communicate with the primary beamforming module 312.
The secondary device 304 may include a MAC module 330 that may include a secondary control module 331, a secondary steering module 332, and a secondary calibration module 334. The MAC module 330 may communicate with the PHY module 318. In some embodiments, the secondary calibration module 334 may communicate with the RF transceivers 322 and the secondary control module 331, the secondary steering module 332 may communicate with the secondary calibration module 334 and the secondary control module 331, and the secondary control module 331 may communicate with the secondary beamforming module 319.
The primary device 302 may obtain CSI from the secondary device 304 and adjust the primary weights 314 based thereon. More specifically, the primary calibration module 328 may generate and transmit a set of training signals to the second device 304. The training signals may include a management action frame that indicates whether the primary device 302 is capable of determining a steering matrix for the secondary device 304 based on a CSI matrix. In some embodiments, the secondary device 304 may not be capable of determining a steering matrix based on a CSI matrix when in a power save mode. In other embodiments, the secondary device 304 may not include the secondary steering module 332 and therefore would not be capable of determining a steering matrix based on a CSI matrix.
The calibration module 334 may determine CSI of the training signals and then transmit a CSI matrix that includes CSI for each training signal to the primary device 302. When the primary device 302 receives the CSI matrix, the first steering module 326 may generate a steering matrix based on the CSI matrix. The primary control module 324 may adjust the primary weights 314 based on the steering matrix to direct the RF signals 110 toward the secondary device 304.
The secondary device 304 may obtain data from the primary device 302 and adjust the secondary weights 320 based thereon. More specifically, the secondary calibration module 334 may generate and transmit a set of training signals to the first device 102. The training signals may include a management action frame that indicates whether the secondary device 304 is capable of adjusting the secondary weights 320 based on a steering matrix received from the primary device 302. As previously mentioned, in some embodiments the secondary device may not be capable of determining a steering matrix based on a CSI matrix when in a power save mode. In other embodiments, the secondary device 304 may not include the secondary steering module 332 and therefore would not be capable of determining a steering matrix based on a CSI matrix.
If the secondary device 304 is not capable of adjusting the weights 320 based on a steering matrix received from the primary device 302, the primary calibration module 328 may determine CSI of the training signals and then transmit a CSI matrix that includes CSI for each training signal to the secondary device 304. When the secondary device 304 receives the CSI matrix, the secondary steering module 332 may generate a steering matrix based on the CSI matrix. The secondary control module 331 may adjust the secondary weights 320 based on the steering matrix to direct the RF signals 310 toward the primary device 302.
However, if the secondary device 304 is capable of adjusting the weights 320 based on a steering matrix received from the primary device 302, the primary calibration module 328 may determine CSI of the training signals. The second steering module 329 of the primary device 302 may then determine a steering matrix for the secondary device 304 based on the CSI matrix. The primary calibration module 328 may then transmit the steering matrix determined by the second steering module 329 to the secondary device 304. When the secondary device 304 receives the steering matrix, the secondary control module 331 may adjust the secondary weights 320 based on the received steering matrix to direct the RF signals 310 toward the primary device 302.
Referring now to FIG. 7, the primary device 302 may implement steps generally identified at 400 to assist the secondary device 304 in determining a steering matrix for the secondary device 304. The process begins in step 402 when the secondary device 304 has data to transmit to the primary device 302. In step 404, the primary device 302 receives training signals from the secondary device 304. As previously mentioned, the training signals may include a management action frame that indicates whether the secondary device 304 is capable adjusting the secondary weights 320 based on a steering matrix generated by the primary device 302.
The primary calibration module 328 may determine CSI of the training signals in step 406. In step 408, the primary calibration module 328 may inspect the management information frame and determine whether the secondary device 304 is capable of receiving a steering matrix from the primary device 302 and directing the RF signals 310 toward the primary device 302 based thereon. If the secondary device 304 is not capable of receiving a steering matrix from the primary device 302, the primary calibration device 328 generates a CSI matrix in step 410. The CSI matrix may be transmitted to the secondary device 304 in step 412 and the process may end in step 414.
However, if the secondary device 304 is capable, the secondary steering module 323 of the primary device 302 may determine a steering matrix for the secondary device in step 416. In step 418, the primary calibration module 328 may transmit the steering matrix to the secondary device and the process may end in step 414.
Referring now to FIG. 8, the secondary device 304 may implement steps generally identified at 450 in determining a steering matrix. The process begins in step 452 when the secondary device 304 has data to transmit to the primary device 302. In step 454, the secondary device 304 transmits training signals to the primary device 302. As previously mentioned, the training signals may include a management action frame that indicates whether the secondary device 304 is capable adjusting the weights 320 based on a steering matrix generated by the primary device 302.
The secondary calibration module 334 may receive a matrix based on the training signals from the primary device 302 in step 456. In step 458, the secondary calibration module 334 may determine whether the matrix received from the primary device 302 is a steering matrix. If the matrix is a steering matrix, the secondary control module 331 may adjust the weights 320 based on the steering matrix in step 460 and the process may end in step 462.
However, if the matrix received from the primary device 302 is not a steering matrix, the secondary steering module 332 may determine a steering matrix based on the matrix received from the primary device 302 in step 464. The secondary control module 331 may then adjust the secondary weights 320 based on the steering matrix in step 460 and the process may end in step 462.
Referring now to FIGS. 9A-9E, various exemplary implementations of the systems and methods of present disclosure are shown. Referring now to FIG. 9A, the systems and methods of present disclosure can be implemented in a WLAN interface 529 of a high definition television (HDTV) 520. The HDTV 520 receives HDTV input signals in either a wired or wireless format and generates HDTV output signals for a display 526. In some implementations, signal processing circuit and/or control circuit 522 and/or other circuits (not shown) of the HDTV 520 may process data, perform coding and/or encryption, perform calculations, format data and/or perform any other type of HDTV processing that may be required.
The HDTV 520 may communicate with mass data storage 527 that stores data in a nonvolatile manner such as optical and/or magnetic storage devices. The HDTV 520 may be connected to memory 528 such as RAM, ROM, low latency nonvolatile memory such as flash memory and/or other suitable electronic data storage. The HDTV 520 also may include a power supply 523.
Referring now to FIG. 9B, the systems and methods of present disclosure may be implemented in a WLAN interface 548 of a vehicle 530. A powertrain control system 532 receives inputs from one or more sensors such as temperature sensors, pressure sensors, rotational sensors, airflow sensors and/or any other suitable sensors and/or that generates one or more output control signals such as engine operating parameters, transmission operating parameters, and/or other control signals.
A control system 540 may likewise receive signals from input sensors 542 and/or output control signals to one or more output devices 544. In some implementations, the control system 540 may be part of an anti-lock braking system (ABS), a navigation system, a telematics system, a vehicle telematics system, a lane departure system, an adaptive cruise control system, a vehicle entertainment system such as a stereo, DVD, compact disc and the like. Still other implementations are contemplated.
The powertrain control system 532 may communicate with mass data storage 546 that stores data in a nonvolatile manner. The mass data storage 546 may include optical and/or magnetic storage devices for example hard disk drives HDD and/or DVDs. The powertrain control system 532 may be connected to memory 547 such as RAM, ROM, low latency nonvolatile memory such as flash memory and/or other suitable electronic data storage. The powertrain control system 532 also may support connections with a WLAN via WLAN interface 548. Vehicle 530 may also include a power supply 533.
Referring now to FIG. 9C, the systems and methods of present disclosure can be implemented in a WLAN interface 568 of a cellular phone 550 that may include a cellular antenna 551. In some implementations, the cellular phone 550 includes a microphone 556, an audio output 558 such as a speaker and/or audio output jack, a display 560 and/or an input device 562 such as a keypad, pointing device, voice actuation and/or other input device. The signal processing and/or control circuits 552 and/or other circuits (not shown) in the cellular phone 550 may process data, perform coding and/or encryption, perform calculations, format data and/or perform other cellular phone functions.
The cellular phone 550 may communicate with mass data storage 564 that stores data in a nonvolatile manner such as optical and/or magnetic storage devices for example hard disk drives HDD and/or DVDs. The cellular phone 550 may be connected to memory 566 such as RAM, ROM, low latency nonvolatile memory such as flash memory and/or other suitable electronic data storage. The cellular phone 550 also may support connections with a WLAN via WLAN interface 968. Cellular phone 550 may also include a power supply 553.
Referring now to FIG. 9D, the systems and methods of present disclosure can be implemented in a WLAN interface 596 of a set top box 580. The set top box 580 receives signals from a source such as a broadband source and outputs standard and/or high definition audio/video signals suitable for a display 588 such as a television and/or monitor and/or other video and/or audio output devices. The signal processing and/or control circuits 584 and/or other circuits (not shown) of the set top box 580 may process data, perform coding and/or encryption, perform calculations, format data and/or perform any other set top box function.
The set top box 580 may communicate with mass data storage 590 that stores data in a nonvolatile manner. The mass data storage 590 may include optical and/or magnetic storage devices for example hard disk drives HDD and/or DVDs. The set top box 580 may be connected to memory 594 such as RAM, ROM, low latency nonvolatile memory such as flash memory and/or other suitable electronic data storage. The set top box 580 also may support connections with a WLAN via WLAN interface 596. Set top box 580 may also include a power supply 583.
Referring now to FIG. 9E, the systems and methods of present disclosure can be implemented in a WLAN interface 1016 of a media player 600. In some implementations, the media player 1000 includes a display 1007 and/or a user input 1008 such as a keypad, touchpad and the like. In some implementations, the media player 1000 may employ a graphical user interface (GUI) that typically employs menus, drop down menus, icons and/or a point-and-click interface via the display 1007 and/or user input 1008. The media player 1000 further includes an audio output 1009 such as a speaker and/or audio output jack. The signal processing and/or control circuits 1004 and/or other circuits (not shown) of the media player 1000 may process data, perform coding and/or encryption, perform calculations, format data and/or perform any other media player function.
The media player 1000 may communicate with mass data storage 1010 that stores data such as compressed audio and/or video content in a nonvolatile manner. In some implementations, the compressed audio files include files that are compliant with MP3 format or other suitable compressed audio and/or video formats. The mass data storage may include optical and/or magnetic storage devices for example hard disk drives HDD and/or DVDs. The media player 1000 may be connected to memory 514 such as RAM, ROM, low latency nonvolatile memory such as flash memory and/or other suitable electronic data storage. The media player 1000 also may support connections with a WLAN via WLAN interface 1016. Media player 1000 may also include a power supply 1013. Still other implementations in addition to those described above are contemplated.
Those skilled in the art can now appreciate from the foregoing description that the broad teachings of the disclosure can be implemented in a variety of forms. Therefore, while this disclosure includes particular examples, the true scope of the disclosure should not be so limited since other modifications will become apparent to the skilled practitioner upon a study of the drawings, the specification and the following claims.

## Claims

1. A first network device, comprising:
a calibration module configured to determine whether a second network device is capable of generating steering data based on a training signal received from the second network device, wherein the steering data is usable by the first network device for steering signals towards the second network device;
a steering module configured to, if the second network device is not capable of generating the steering data, i) receive channel state information generated at the second network device and ii) generate, based on the channel state information, the steering data for steering signals towards the second network device; and
a control module configured to, if the second network device is capable of generating the steering data, receive from the second network device the steering data for steering signals towards the second network device.

2. The first network device of claim 1, wherein the training signal includes a frame of data indicating whether the second network device is capable of generating the steering data.

3. The first network device of claim 1, wherein the calibration module is configured to transmit a training signal to the second network device, the training signal indicating whether the control module is capable of adjusting beamforming weights associated with the first network device.

4. The first network device of claim 3, wherein the second network device is configured to selectively transmit one of the channel state information and the steering data in response to the training signal.

5. The first network device of claim 4, wherein the steering data is based on the training signal.

6. The first network device of claim 1, wherein the control module is configured to adjust beamforming weights associated with the first network device based on the steering data.

7. The first network device of claim 1, wherein the second network device is a link partner of the first network device.

8. A wireless network, comprising:
first network device of claim 1; and
the second network device.

9. A method of operating a first network device, the method comprising:
determining whether a second network device is capable of generating steering data based on a training signal received from the second network device, wherein the steering data is usable by the first device for steering signals towards the second network device;
if the second network device is not capable of generating the steering data,
receiving channel state information generated at the second network device, and
generating, i) at the first network device and ii) based on the channel state information, the steering data for steering signals towards the second network device; and

if the second network device is capable of generating the steering data, receiving from the second network device the steering data for steering signals towards the second network device.

10. The method of claim 9, wherein the training signal includes a frame of data indicating whether the second network device is capable of generating the steering data.

11. The method of claim 9, further comprising transmitting a training signal to the second network device, the training signal indicating whether the first network device is capable of adjusting beamforming weights associated with the first network device.

12. The method of claim 11, further comprising selectively transmitting one of the channel state information and the steering data from the second network device to the first network device in response to the training signal.

13. The method of claim 12, wherein the steering data is based on the training signal.

14. The method of claim 9, further comprising adjusting beamforming weights associated with the first network device based on the steering data.

15. The method of claim 9, wherein the second network device is a link partner of the first network device.