# US 12,003,286 B2 · Online MIMO wireless network virtualization with unknown channel information

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- Number: US 12,003,286 B2
- Document ID: US12003286B2
- Status: Granted
- Kind: B2
- Application number: 17/425,427
- Filed: 2020-04-10
- Published: 2022-03-31
- Granted: 2024-06-04
- Earliest claimed: 2019-04-12
- Assignees: Telefonaktiebolaget LM Ericsson (publ)
- Applicants: Telefonaktiebolaget LM Ericsson (publ)
- Inventors: Juncheng Wang; Ben Liang; Min Dong; Gary Boudreau
- Web page: https://patentgrep.com/patent/US12003286B2

## CPC

- H04B 7/0413: MIMO systems
- H04B 7/0426: Power distribution
- H04B 7/0456: Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
- H04B 7/0626: {Channel coefficients, e.g. channel state information [CSI]}
- H04W 24/02: Arrangements for optimising operational condition
- H04W 72/541: using the level of interference
- H04B: TRANSMISSION
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## 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.

## Claims

### Claim 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.

### Claim 2 (depends on 1)

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.

### Claim 3 (depends on 2)

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

### Claim 4 (depends on 2)

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

### Claim 5 (depends on 2)

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.

### Claim 6 (depends on 1)

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

### Claim 7 (depends on 1)

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.

### Claim 8 (depends on 1)

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.

### Claim 9 (depends on 1)

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

### Claim 10 (depends on 1)

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.

### Claim 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.

### Claim 12 (depends on 11)

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

### Claim 13 (depends on 12)

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

### Claim 14 (depends on 12)

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

### Claim 15 (depends on 12)

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.

### Claim 16 (depends on 11)

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

### Claim 17 (depends on 11)

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.

### Claim 18 (depends on 11)

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.

### Claim 19 (depends on 11)

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

### Claim 20 (depends on 11)

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.