MU-MIMO group assignment

Patent metadata

Field	Value
Publication number	US-10587353-B2
Application number	US-201616061933-A
Country	US
Kind code	B2
Filing date	Feb 19, 2016
Priority date	Feb 19, 2016
Publication date	Mar 10, 2020
Grant date	Mar 10, 2020

Abstract

An example communications device includes communications circuitry and control circuitry. The communications circuitry may wirelessly communicate with client devices. The control circuitry may determine signal-to-interference-plus-noise ratios (SINRs) for the client devices based on compressed client-side channel state information received from the client devices. The control circuitry may assign the client devices to multi-user-multiple-input-multiple-output (MU-MIMO) groups based on the SINRs.

First claim

What is claimed is:

1. A communications device, comprising:
communications circuitry to wirelessly communicate with a client device; and
control circuitry to determine a signal-to-interference-plus-noise ratio (SINR) for the client device based on compressed client-side channel state information received from the client device, and to assign the client device to a multi-user-multiple-input-multiple-output (MU-MIMO) group based on the SINR;
determine beamformer-side channel state information based on a control packet received from the client device, the beamformer-side channel state information being represented by a channel matrix H′,
determine the singular value decomposition of the channel matrix H′, which is represented by H′=U′·D′·V′H, and
use the matrix D′ in determining the SINR,
wherein H′ respresents beamformer-side channel state information (CSI),
wherein U′ is a unitary matrix,
wherein D′ is a scalar diagonal matrix,
wherein V′ is compressed CSI feedback,
wherein H represents client-side CSI.

2. The communications device of claim 1 ,
wherein the control circuitry is to determine the SINR for the client device based on beamformer-side channel state information obtained from a control packet received from the client device.

3. The communications device of claim 1 ,
wherein the control circuitry is to estimate a throughput of the client device in the MU-MIMO group based on the SINR, and to assign the client device to the MU-MIMO group based on the throughput.

4. A method of controlling a beamforming device, comprising:
at the beamforming device, receiving compressed client-side channel state information from a client device,
determining a signal-to-interference-plus-noise ratio (SINR) for the client device based on the compressed client-side channel state information, and
assigning the client device to a multi-user-multiple-input-multiple-output (MU-MIMO) group based on the SINR;
at the beamforming device, receiving a control packet from the client device;
determining beamformer-side channel state information based on the control packet, the beamformer-side channel state information being represented by a channel matrix H′;
determining the singular value decomposition of the channel matrix H′, which is represented by H′=U′·D′·V′H; and
using the matrix D′ in determining the SINR,
wherein H′ respresents beamformer-side channel state information (CSI),
wherein U′ is a unitary matrix,
wherein D′ is a scalar diagonal matrix,
wherein V′ is compressed CSI feedback,
wherein H represents client-side CSI.

5. The method of claim 4 ,
wherein the determining the SINR for the client device is further based on beamformer-side channel state information obtained from a control packet received from the client device.

6. The method of claim 4 ,
wherein the assigning the client device to the MU-MIMO group based on the SINR includes estimating a throughput of the client device in the MU-MIMO group based on the SINR.

7. A non-transitory machine-readable medium that stores instructions that, when executed by a processor of a beamforming device, cause the beamforming device to:
determine potential multi-user-multiple-input-multiple-output (MU-MIMO) groupings of a plurality of client devices;
for each of the plurality of client devices and each of the potential MU-MIMO grouping in which the respective client device is included, estimate a signal-to-interference-plus-noise ratio (SINR) based on compressed client-side channel state information received by the beamforming device from the respective client device; and
assign the plurality of client devices to MU-MIMO groups based on the estimated SINRs;
determine beamformer-side channel state information for the respective client device based on a control packet received from the respective client device, the beamformer-side channel state information for the respective client device being represented by a channel matrix H′k,
determine the singular value decomposition of the channel matrix H′k, which is represented by H′k=U′k·D′k·V′Hk, and
use the matrix D′k in determining each of the SINRs corresponding to the respective client device, where k is an index corresponding to the respective client device,
wherein H′ respresents beamformer-side channel state information (CSI),
wherein U′ is a unitary matrix,
wherein D′ is a scalar diagonal matrix,
wherein V′ is compressed CSI feedback,
wherein H represents client-side CSI.

8. The non-transitory machine-readable medium of claim 7 ,
wherein the instructions are to, when executed by the processor of the beamforming device, cause the beamforming device to:
for each of the plurality of client devices, determine beamformer-side channel state information from a control packet received from the respective client device; and
for each of the plurality of client devices, determine each of the SINRs corresponding to the respective client device based on the beamformer-side channel state information corresponding to the respective client device.

9. The non-transitory machine-readable medium of claim 7 ,
wherein the instructions are to, when executed by the processor of the beamforming device, cause the beamforming device to:
for each of the plurality of client devices and each of the potential MU-MIMO grouping in which the respective client device is included, estimate a throughput of the respective client device in the respective potential MU-MIMO grouping based on the SINR corresponding to the respective client device and the respective potential MU-MIMO grouping, and
assign the plurality of client devices to MU-MIMO groups based on the estimated throughputs.

Assignees

• Hewlett Packard Entpr Dev Lp

Inventors

• Sur Sanjib
• Pefkianakis Ioannis
• Sen Souvik

Classifications

• H04B7/0452

  Multi-user MIMO systems · CPC title

• H04B7/0626

  Channel coefficients, e.g. channel state information [CSI] · CPC title

• H04B7/0617

  for beam forming · CPC title

• H04B17/336 Primary

  Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR] · CPC title

• H04B7/0634

  Antenna weights or vector/matrix coefficients · CPC title