Online MIMO wireless network virtualization with unknown channel information

Patent metadata

Field	Value
Publication number	US-12003286-B2
Application number	US-202017425427-A
Country	US
Kind code	B2
Filing date	Apr 10, 2020
Priority date	Apr 12, 2019
Publication date	Jun 4, 2024
Grant date	Jun 4, 2024

Abstract

A method, system and apparatus are disclosed. According to one aspect, a network node configured to communicate with a wireless device (WD), includes processing circuitry configured to perform downlink wireless network virtualization by minimizing an expected deviation of received signals at WDs subject to network node power constraints.

First claim

What is claimed is:

1. A network node configured to communicate with a wireless device, WD, the network node comprising processing circuitry configured to:
perform downlink wireless network virtualization by minimizing an expected deviation of received signals at WDs subject to power constraints on the network node.

2. The network node of claim 1 , wherein the expected deviation is between a service provider's virtual precoding and an infrastructure provider's actual precoding.

3. The network node of claim 2 , wherein each service provider independently determines a virtual precoding matrix of the service provider.

4. The network node of claim 2 , wherein a virtual precoding matrix determined by a service provider is associated with a pre-determined downlink power.

5. The network node of claim 2 , wherein the downlink wireless network virtualization is bounded when all service providers' determinations of virtual precoding matrices include match filtering or zero forcing.

6. The network node of claim 1 , wherein the minimizing is based at least in part on interference between service providers.

7. The network node of claim 1 , wherein the minimizing includes applying a drift-plus-penalty technique for stochastic network optimization based on inaccurate channel state information.

8. The network node of claim 1 , wherein the power constraints include at least one short term power constraint and at least one long term power constraint.

9. The network node of claim 1 , wherein the minimizing is performed without knowledge of channel distribution information.

10. The network node of claim 1 , wherein the minimizing occurs within a

O
⁡

(

1

ϵ
2

)

convergence time to reach an ∈-approximate solution, where ∈ is a controllable constant.

11. A method in a network node configured to communicate with a wireless device, WD, the method comprising:
performing downlink wireless network virtualization by minimizing an expected deviation of received signals at WDs subject to power constraints on the network node.

12. The method of claim 11 , wherein the expected deviation is between a service provider's virtual precoding and an infrastructure provider's actual precoding.

13. The method of claim 12 , wherein each service provider independently determines a virtual precoding matrix of the service provider.

14. The method of claim 12 , wherein a virtual precoding matrix determined by a service provider is associated with a pre-determined downlink power.

15. The method of claim 12 , wherein the downlink wireless network virtualization is bounded when all service providers' determinations of virtual precoding matrices include match filtering or zero forcing.

16. The method of claim 11 , wherein the minimizing is based at least in part on interference between service providers.

17. The method of claim 11 , wherein the minimizing includes applying a drift-plus-penalty technique for stochastic network optimization based on inaccurate channel state information.

18. The method of claim 11 , wherein the power constraints include at least one short term power constraint and at least one long term power constraint.

19. The method of claim 11 , wherein the minimizing is performed without knowledge of channel distribution information.

20. The method of claim 11 , wherein the minimizing occurs within an

O
⁡

(

1

ϵ
2

)

convergence time to reach an ∈-approximate solution, where ∈ is a controllable constant.

Assignees

• Ericsson Telefon Ab L M

Inventors

• Wang Juncheng
• Liang Ben
• Dong Min
• Boudreau Gary

Classifications

• H04B7/0426 Primary

  Power distribution · CPC title

• H04B7/0456

  Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting · CPC title

• H04B7/0626

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

• H04W24/02

  Arrangements for optimising operational condition · CPC title

• H04W72/541

  using the level of interference · CPC title