Estimation of channel state information for non-sounded panels or subpanels based on sounded panels or subpanels

Patent metadata

Field	Value
Publication number	US-12009894-B2
Application number	US-202217652804-A
Country	US
Kind code	B2
Filing date	Feb 28, 2022
Priority date	Feb 28, 2022
Publication date	Jun 11, 2024
Grant date	Jun 11, 2024

Abstract

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network entity may receive a sounding reference signal (SRS) at a multi-panel system of the network entity, where the multi-panel system includes one or more sounded panels and one or more non-sounded panels. The network entity may estimate a channel to obtain channel state information (CSI) for the one or more sounded panels based at least in part on the SRS. The network entity may estimate CSI for the one or more non-sounded panels based at least in part on the CSI for the one or more sounded panels. The network entity may transmit or receive a communication based at least in part on the CSI for the one or more sounded panels and the CSI for the one or more non-sounded panels. Numerous other aspects are described.

First claim

What is claimed is:

1. A network entity for wireless communication, comprising:
a memory; and
one or more processors, coupled to the memory, configured to:
receive a sounding reference signal (SRS) at a multi-panel system of the network entity, wherein the multi-panel system includes one or more sounded panels and one or more non-sounded panels;
estimate a channel to obtain channel state information (CSI) for the one or more sounded panels based at least in part on the SRS;
estimate CSI for the one or more non-sounded panels based at least in part on the CSI for the one or more sounded panels; and
transmit or receive a communication based at least in part on the CSI for the one or more sounded panels and the CSI for the one or more non-sounded panels.

2. The network entity of claim 1 , wherein the one or more processors, to estimate the CSI for the one or more non-sounded panels, are configured to interpolate the CSI for the one or more sounded panels.

3. The network entity of claim 2 , wherein the one or more processors are configured to calculate interpolation coefficients based at least in part on beam sweeping.

4. The network entity of claim 2 , wherein an interpolation coefficient applied to a sounded panel that is spatially closer to a non-sounded panel is greater than an interpolation coefficient applied to a sounded panel that is spatially further away from the non-sounded panel.

5. The network entity of claim 1 , wherein the one or more processors, to estimate the CSI for the one or more non-sounded panels, are configured to estimate CSI for a non-sounded panel by averaging CSI values of sounded panels on either side of the non-sounded panel.

6. The network entity of claim 1 , wherein the one or more processors, to estimate the CSI for the one or more non-sounded panels, are configured to average CSI values of the one or more sounded panels.

7. The network entity of claim 1 , wherein the one or more processors are configured to determine, for each of multiple frequency bands, a spatial correlation of the channel between a panel of the multi-panel system and subpanels or between the panel and antenna elements based at least in part on a beam direction of the panel.

8. The network entity of claim 7 , wherein the one or more processors are configured to train or calibrate the spatial correlation for each of the multiple frequency bands.

9. The network entity of claim 1 , wherein the one or more processors are configured to, for each sounded panel of the one or more sounded panels:
estimate the channel to obtain CSI for one or more sounded subpanels of the panel, based at least in part on the SRS, wherein the one or more sounded subpanels are a proper subset of subpanels of the panel; and
estimate CSI for one or more non-sounded subpanels of the panel based at least in part on the CSI for the one or more sounded subpanels.

10. The network entity of claim 1 , wherein the one or more processors, to estimate the CSI for the one or more non-sounded panels, are configured to estimate the CSI for the one or more non-sounded panels based at least in part on angles of arrival of the SRS for the one or more non-sounded panels and angles of arrival of the SRS for the one or more sounded panels.

11. The network entity of claim 10 , wherein the one or more processors are configured to generate correlation matrices for angles of arrival for the multi-panel system based at least in part on a training procedure for the multi-panel system.

12. The network entity of claim 1 , wherein the one or more processors are configured to, for a subpanel of a sounded panel:
cycle, for multiple SRSs, antenna elements of the subpanel that are sampled; and
estimate, for each cycle, samples for other antenna elements of the subpanel based at least in part on an antenna element that is sampled in the cycle.

13. The network entity of claim 1 , wherein the one or more processors are configured to, for a subpanel of a sounded panel:
cycle, for multiple SRSs, antenna elements of the subpanel that are sampled; and
estimate, for each cycle, samples for other antenna elements of the subpanel based at least in part on a spatial configuration of the subpanel.

14. A network entity for wireless communication, comprising:
a memory; and
one or more processors, coupled to the memory, configured to:
receive a sounding reference signal (SRS) at a panel of a multi-panel system of the network entity, wherein the panel includes one or more sounded subpanels and one or more non-sounded subpanels;
estimate a channel to obtain channel state information (CSI) for the one or more sounded subpanels based at least in part on the SRS;
estimate CSI for the one or more non-sounded subpanels of the panel based at least in part on the CSI for the one or more sounded subpanels; and
transmit or receive a communication based at least in part on the CSI for the one or more sounded subpanels and the CSI for the one or more non-sounded subpanels.

15. The network entity of claim 14 , wherein the one or more processors, to estimate the CSI for the one or more non-sounded subpanels, are configured to interpolate the CSI for the one or more sounded subpanels.

16. The network entity of claim 15 , wherein the one or more processors are configured to calculate interpolation coefficients based at least in part on beam sweeping.

17. The network entity of claim 15 , wherein an interpolation coefficient applied to a sounded subpanel that is spatially closer to a non-sounded subpanel is greater than an interpolation coefficient applied to a sounded subpanel that is spatially further away from the non-sounded subpanel.

18. The network entity of claim 14 , wherein the one or more processors, to estimate the CSI for the one or more non-sounded subpanels, are configured to estimate CSI for a non-sounded subpanel by averaging CSI values of sounded subpanels on either side of the non-sounded subpanel.

19. The network entity of claim 14 , wherein the one or more processors, to estimate the CSI for the one or more non-sounded subpanels, are configured to average CSI values of the one or more sounded subpanels.

20. The network entity of claim 14 , wherein the one or more processors are configured to determine, for each of multiple frequency bands, a spatial correlation of the channel between a panel of the multi-panel system and subpanels or between the panel and antenna elements based at least in part on a beam direction of the panel.

21. The network entity of claim 20 , wherein the one or more processors are configured to train or calibrate the spatial correlation for each of the multiple frequency bands.

22. The network entity of claim 14 , wherein the one or more processors, to estimate the channel for the one or more sounded subpanels, are configured to estimate the channel for every other subpanel in a first row of the panel.

23. The network entity of claim 22 , wherein the one or more processors, to estimate the channel for the one or more sounded subpanels, are configured to estimate the channel for one or more sounded subpanels in a second row of the panel, based at least in part on the SRS, wherein the one or more sounded subpanels in the second row alternate in a vertical direction with the one or more sounded subpanels in the first row.

24. The network entity of claim 22 , wherein the one or more processors are configured to:
estimate the channel to obtain CSI for every subpanel in a specifi

Assignees

• Qualcomm Inc

Inventors

• Sahraei Saeid
• Abdelghaffar Muhammad Sayed Khairy
• Wang Renqiu
• Yuan Lu
• Burke Joseph Patrick
• Ji Tingfang
• Gaal Peter

Classifications

• H04L25/0224

  using sounding signals · CPC title

• H04B7/0695

  using beam selection · CPC title

• H04B7/043

  using best eigenmode, e.g. beam forming or beam steering · CPC title

• H04B7/0626 Primary

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

• H04B7/0658 Primary

  Feedback reduction · CPC title