Massive multiple-input multiple-output (M-MIMO) wireless distribution system (WDS) and related methods for optimizing the M-MIMO WDS

• US 10,153,814 B1
• Filed: 06/13/2017
• Issued: 12/11/2018
• Est. Priority Date: 06/13/2017
• Status: Active Grant

• Current Assignee: Corning Incorporated
• Original Assignee: Corning Incorporated
• Inventors: Liang, Xiaojun, Ng'Oma, Anthony
• Primary Examiner(s): Bello, Agustin
• Application Number:
  US15/621,177
• Publication Number:
  US 20180359006A1
• Time in Patent Office: 546 Days
• Field of Search: 398115-118
• CPC Class Codes: H04B 7/02 Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas RAKE receivers H04B1/7115
• CPC Class Codes: H04B 7/024 Co-operative use of antennas of several sites, e.g. in co-ordinated multipoint or co-operative multiple-input multiple-output [MIMO] systems
• CPC Class Codes: H04B 7/0413 MIMO systems
• CPC Class Codes: H04B 7/0608 Antenna selection according to transmission parameters
• CPC Class Codes: H04B 7/0682 using phase diversity (e.g. phase sweeping)
• CPC Class Codes: H04B 7/0691 using subgroups of transmit antennas
• CPC Class Codes: H04W 88/085 Access point devices with remote components
• CPC Class Codes: H04W 88/12 Access point controller devices

Abstract

Embodiments of the disclosure relate to a massive multiple-input multiple-output (M-MIMO) wireless distribution system (WDS) and related methods for optimizing the M-MIMO WDS. In one aspect, the M-MIMO WDS includes a plurality of remote units each deployed at a location and includes one or more antennas to serve a remote coverage area. At least one remote unit can have a different number of the antennas from at least one other remote unit in the M-MIMO WDS. In another aspect, a selected system configuration including the location and number of the antennas associated with each of the remote units can be determined using an iterative algorithm that maximizes a selected system performance indicator of the M-MIMO WDS. As such, it may be possible to optimize the selected system performance indicator at reduced complexity and costs, thus helping to enhance user experiences in the M-MIMO WDS.

Claims

1. A method for optimizing a selected performance indication of a massive multiple-input multiple-output (M-MIMO) wireless distribution system (WDS), comprising:

generating an initial system configuration based on at least one initial system parameter of a M-MIMO WDS, wherein the initial system configuration comprises a plurality of configuration parameter groups corresponding to a plurality of remote units in the M-MIMO WDS, respectively;

providing the plurality of configuration parameter groups to a performance-estimation function configured to estimate a selected system performance indicator of the M-MIMO WDS based on the plurality of configuration parameter groups;

generating an initial estimation of the selected system performance indicator by the performance-estimation function according to the initial system configuration;

updating one or more selected configuration parameter groups among the plurality of configuration parameter groups to generate at least one updated system configuration;

providing the plurality of configuration parameter groups comprising the one or more selected configuration parameter groups to the performance-estimation function;

generating at least one updated estimation of the selected system performance indicator by the performance-estimation function according to the at least one updated system configuration;

determining a selected system configuration between the initial system configuration and the at least one updated system configuration corresponding to a higher selected system performance indicator among the initial estimation of the selected system performance indicator and the at least one updated estimation of the selected system performance indicator; and

configuring the plurality of remote units based on the selected system configuration.

2. The method of claim 1, further comprising outputting the selected system configuration for configuring the plurality of remote units based on the selected system configuration.

3. The method of claim 1, further comprising:

providing the plurality of configuration parameter groups to the performance-estimation function configured to estimate a system capacity of the M-MIMO WDS based on the plurality of configuration parameter groups;

estimating an initial system capacity for the initial system configuration by the performance-estimation function;

updating the one or more selected configuration parameter groups among the plurality of configuration parameter groups to generate the at least one updated system configuration;

providing the plurality of configuration parameter groups comprising the one or more selected configuration parameter groups to the performance-estimation function;

estimating at least one updated system capacity for the at least one updated system configuration by the performance-estimation function;

determining the selected system configuration between the initial system configuration and the at least one updated system configuration corresponding to a higher system capacity among the initial system capacity and the at least one updated system capacity; and

configuring the plurality of remote units based on the selected system configuration.

4. The method of claim 3, further comprising outputting the selected system configuration for configuring the plurality of remote units based on the selected system configuration.

5. The method of claim 1, wherein the at least one initial system parameter comprises one or more system parameters selected from the group consisting of:

total number of antennas;

total number of remote units;

system layout;

client device density distribution; and

coverage area radio frequency (RF) survey.

6. The method of claim 1, wherein each of the plurality of configuration parameter groups comprises:

location coordinates of a corresponding remote unit among the plurality of remote units; and

a number of antennas to be provided in the corresponding remote unit among the plurality of remote units.

7. The method of claim 1, wherein the performance-estimation function is proportionally related to a weighting function representing one or more spatial dependent parameters selected from the group consisting of:

system layout information;

client device density distribution; and

signal propagation environment.

8. A non-transitory computer-readable medium comprising software with instructions configured to:

generate an initial system configuration based on at least one initial system parameter of a massive multiple-input multiple-output (M-MIMO) wireless distribution system (WDS), wherein the initial system configuration comprises a plurality of configuration parameter groups corresponding to a plurality of remote units in the M-MIMO WDS, respectively;

provide the plurality of configuration parameter groups to a performance-estimation function configured to estimate a selected system performance indicator of the M-MIMO WDS based on the plurality of configuration parameter groups;

generate an initial estimation of the selected system performance indicator by the performance-estimation function according to the initial system configuration;

update one or more selected configuration parameter groups among the plurality of configuration parameter groups to generate at least one updated system configuration;

provide the plurality of configuration parameter groups comprising the one or more selected configuration parameter groups to the performance-estimation function;

generate at least one updated estimation of the selected system performance indicator by the performance-estimation function according to the at least one updated system configuration; and

determine a selected system configuration between the initial system configuration and the at least one updated system configuration corresponding to a higher selected system performance indicator among the initial estimation of the selected system performance indicator and the at least one updated estimation of the selected system performance indicator.

9. The non-transitory computer-readable medium of claim 8, wherein the instructions are further configured to output the selected system configuration for configuring the plurality of remote units based on the selected system configuration.

10. The non-transitory computer-readable medium of claim 8, wherein the instructions are further configured to:

provide the plurality of configuration parameter groups to the performance-estimation function configured to estimate a system capacity of the M-MIMO WDS based on the plurality of configuration parameter groups;

estimate an initial system capacity for the initial system configuration by the performance-estimation function;

update the one or more selected configuration parameter groups among the plurality of configuration parameter groups to generate the at least one updated system configuration;

provide the plurality of configuration parameter groups comprising the one or more selected configuration parameter groups to the performance-estimation function;

estimate at least one updated system capacity for the at least one updated system configuration by the performance-estimation function; and

determine the selected system configuration between the initial system configuration and the at least one updated system configuration corresponding to a higher system capacity among the initial system capacity and the at least one updated system capacity.

11. The non-transitory computer-readable medium of claim 10, further comprising outputting the selected system configuration for configuring the plurality of remote units based on the selected system configuration.

12. The non-transitory computer-readable medium of claim 8, wherein the at least one initial system parameter comprises one or more system parameters selected from the group consisting of:

total number of antennas;

total number of remote units;

system layout;

client device density distribution; and

coverage area radio frequency (RF) survey.

13. The non-transitory computer-readable medium of claim 8, wherein each of the plurality of configuration parameter groups comprises:

location coordinates of a corresponding remote unit among the plurality of remote units; and

number of antennas to be provided in the corresponding remote unit among the plurality of remote units.

14. The non-transitory computer-readable medium of claim 8, wherein the performance-estimation function is proportionally related to a weighting function representing one or more spatial dependent parameters selected from the group consisting of:

system layout information;

client device density distribution; and

signal propagation environment.