IP Library Granted Patent US 11,206,570
Granted Patent B2
US 11,206,570 · App. 16/880,762 · Granted Dec 21, 2021

Beamformer accounting for non-homogeneity of offered traffic distribution among cells

Inventors: Udaya Bhaskar (North Potomac, MD); Stanley Kay (Rockville, MD); Neal David Becker (Frederick, MD)
Assignee: Hughes Network Systems, LLC
H04W28/0289H04W16/22H04W24/08H04W16/28
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Quick Facts
Patent No.
US 11,206,570
App. No.
16/880,762
Granted
Dec 21, 2021
Kind
B2
Abstract

A system and method for beamforming beams including: matching weights T to a distribution of resources for each of the beams based on a traffic variation for each of the beams; calculating, with a signal processor for each of the beams based on the weights T, a power scalar β and a weighted minimum mean squared error (WMMSE) matrix W WMSE ; and transmitting/receiving the beams based on the power scalar β and the WMMSE matrix W WMSE , where the power scalar β satisfies a total power constraint of an antenna subsystem.

Claims (102)

1. A non-transient computer-readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method for beamforming beams, the method comprising:

matching weights T to a distribution of resources for each of the beams based on a traffic variation for each of the beams;

calculating, with a signal processor for each of the beams based on the weights T, a power scalar f and a Weighted Minimum Mean Squared Error (WMMSE) matrix WWMSE; and

transmitting/receiving the beams based on the power scalar f and the WMMSE matrix WWMSE, wherein the power scalar f satisfies a total power constraint of an antenna subsystem;

wherein the beamforming comprises determining, based on the WMMSE matrix WWMSE, a Beam Weight Vector (BWV) to apply to feed signals for the beams.

2. The method of claim 1 , wherein the traffic variation comprises a predicted offered traffic demand based on usage patterns for each of the beams.

3. The method of claim 1 , wherein the traffic variation comprises a predicted offered traffic demand based on a population density for each of the beams.

4. The method of claim 1 , wherein the traffic variation comprises a predicted offered traffic demand based on a traffic Quality of Service guarantee.

5. The method of claim 1 , wherein the traffic variation comprises an actual offered traffic demand.

6. The method of claim 1 , wherein the weights T comprise a K×K diagonal matrix with positive real entries.

7. The method of claim 1 , wherein the power scalar β is calculated as Trace (W WMSE W WMSE H ).

8. The method of claim 1 , wherein the WMMSE matrix W WMSE is calculated as:

W

WMSE

=

β

*

HT

(

TH

HT

+

K

σ

2

tr

(

TT

)

P

tot

I

K

)

-

1

T

,

P tot is the total power constraint, H is a N×K channel matrix, K is a count of beams, and σ 2 is the noise variance at the receiver.

9. The method of claim 1 , wherein the WMMSE matrix W WMSE is subject to a total error constraint: argmin W,β E[∥e∥] 2 , s.t.E[∥Ws∥] 2 =P tot .

10. A beamformer system for beams comprising:

a traffic module to match weights T to a distribution of resources for each of the beams based on a traffic variation for each of the beams;

a WMMSE module to calculate, for each of the beams based on the weights T, a power scalar f and a Weighted Minimum Mean Squared Error (WMMSE) matrix WWMSE; and

an antenna subsystem to receive/transmit the beams based on the power scalar f and the WMMSE matrix WWMSE, wherein the power scalar f satisfies a total power constraint of the antenna subsystem;

wherein the antenna subsystem determines a Beam Weight Vector (BWV) applied to feed signals for the beams.

11. The beamformer system of claim 10 , wherein the traffic variation comprises a predicted offered traffic demand based on usage patterns for each of the beams.

12. The beamformer system of claim 10 , wherein the traffic variation comprises a predicted offered traffic demand based on a population density for each of the beams.

13. The beamformer system of claim 10 , wherein the traffic variation comprises a predicted offered traffic demand based on a traffic Quality of Service guarantee.

14. The beamformer system of claim 10 , wherein the traffic variation comprises an actual offered traffic demand.

15. The beamformer system of claim 10 , wherein the weights T comprise a K×K diagonal matrix with positive real entries.

16. The beamformer system of claim 10 , wherein the power scalar β is calculated as Trace (W WMSE W WMSE H ).

17. The beamformer system of claim 10 , wherein the WMMSE matrix W WMSE is calculated as:

W

WMSE

=

β

*

HT

(

TH

HT

+

K

σ

2

tr

(

TT

)

P

tot

I

K

)

-

1

T

,

P tot is the total power constraint, H is a N×K channel matrix, K is a count of beams, and σ 2 is the noise variance at the receiver.

18. The beamformer system of claim 10 , wherein the WMMSE matrix W is subject to a total error constraint: argmin W,β E[∥e∥] 2 , s.t.E[∥Ws∥] 2 =P tot .

Assignments (2)
SECURITY INTEREST Recorded Jul 27, 2020
From: HUGHES NETWORK SYSTEMS LLC
To: U.S. BANK NATIONAL ASSOCIATION (COLLATERAL AGENT)
Reel/Frame 053320/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 21, 2020
From: BHASKAR, UDAYA; KAY, STAN; BECKER, NEAL DAVID
To: HUGHES NETWORK SYSTEMS, LLC
Reel/Frame 052728/0782 →