# US 11,122,448 B2 · System and method for scalable radio resource management for wireless local area networks

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- Number: US 11,122,448 B2
- Document ID: US11122448B2
- Status: Granted
- Kind: B2
- Application number: 16/341,190
- Filed: 2017-10-20
- Published: 2019-10-17
- Granted: 2021-09-14
- Earliest claimed: 2016-10-21
- Assignees: Telefonaktiebolaget LM Ericsson (publ)
- Applicants: Telefonaktiebolaget LM Ericsson (publ)
- Inventors: Hassan Halabian; Afshin Sahabi; Mike Skof
- Web page: https://patentgrep.com/patent/US11122448B2

## CPC

- H04W 24/02: Arrangements for optimising operational condition
- H04W 16/18: Network planning tools
- H04W 84/12: WLAN [Wireless Local Area Networks]
- H04W 84/18: Self-organising networks, e.g. ad-hoc networks or sensor networks
- 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 and node for providing scalable radio resource management, RRM, in a wireless local area network, WLAN, are provided. According to one aspect, a method in a self-organizing network, SON, manager node includes receiving radio frequency, RF, scan data from wireless access points, AP, creating network segments of limited sizes based on the RF scan data, and periodically executing an RRM optimization algorithm in an RRM time slot in each of successive RRM periods.

## Claims

### Claim 1

A method in a self-organizing network, SON, manager node of providing scalable radio resource management, RRM, in a wireless local area network, WLAN, the method comprising:
receiving radio frequency (RF) scan data and predicted network load values, from each of wireless access points (APs), wherein the predicted network load values are determined based on collection of network load information from the APs for each RRM time slot associated with an RRM period, and prediction of network values for the same RRM time slot for a next RRM period, and wherein each RRM time slot associated with each RRM period is defined as time over which an RRM optimization algorithm can be executed;
creating network segments of limited sizes based on the RF scan data associated with each AP,
wherein sizes of the network segments are less than a predetermined threshold, and
wherein the predetermined threshold is based on a number of APs over which to execute the RRM optimization algorithm and an amount of time between successive RRM time slots;
scheduling, based on the received RF scan data and the predicted network load values, periodic execution of the RRM optimization algorithm in RRM time slots in successive RRM periods; and
periodically executing the RRM optimization algorithm over each of the network segments during the scheduled RRM time slot in each of the successive RRM periods.

### Claim 2 (depends on 1)

The method of claim 1, wherein the SON manager node is a cloud server.

### Claim 3 (depends on 2)

The method of claim 2, wherein the cloud server interfaces with:
a configuration interface configured to transmit operating parameters to APs; and
a data interface configured to receive the RF scan data from the APs.

### Claim 4

A self-organizing network, SON, manager node configured to provide scalable radio resource management, RRM, in a wireless local area network, WLAN, the node comprising:
processing circuitry configured to:
store RF scan data;
receive radio frequency (RF) scan data and predicted network load values, from each of wireless access points (APs), wherein the predicted network load values are determined based on collection of network load information from the APs for each RRM time slot associated with an RRM period, and prediction of network values for the same RRM time slot for a next RRM period, and wherein each RRM time slot associated with each RRM period is defined as time over which an RRM optimization algorithm can be executed;
create network segments of limited sizes based on the RF scan data associated with each AP,
wherein sizes of the network segments are less than a predetermined threshold, and
wherein the predetermined threshold is based on a number of APs over which to run the RRM optimization algorithm and an amount of time between successive RRM time slots;
schedule, based on the received RF scan data and the predicted network load values, periodic execution of the RRM optimization algorithm in RRM time slots in successive RRM periods; and
periodically execute the RRM optimization algorithm over each of the network segments during the scheduled RRM time slot in each of the successive RRM periods.

### Claim 5 (depends on 4)

The node of claim 4, wherein the SON manager node is a cloud server.

### Claim 6 (depends on 5)

The node of claim 5, further including:
a configuration interface configured to transmit operating parameters to APs; and
a data interface configured to receive the RF scan data from the APs.