# US 2019/0246293 A1 · System and method for service differentiable radio resource management for wireless local area networks > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0246293 A1 - Document ID: US20190246293A1 - Status: Published application - Kind: A1 - Application number: 16/340,484 - Filed: 2017-10-20 - Published: 2019-08-08 - Earliest claimed: 2016-10-21 - Assignees: Telefonaktiebolaget LM Ericsson (publ) - Inventors: Hassan HALABIAN; Afshin SAHABI; Mike SKOF - Web page: https://patentgrep.com/patent/US20190246293A1 ## CPC - H04W 24/02: Arrangements for optimising operational condition - H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports} - H04W 72/0446: Resources in time domain, e.g. slots or frames - H04W 72/56: based on priority criteria - H04W 80/02: Data link layer protocols - 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 service differentiable radio resource management, RRM, in a wireless communication network are provided. According to one aspect, a method includes defining access point, AP, priority factors based on predefined criteria. The method further includes performing an RRM optimization based on the priority factors, the optimization providing a measure of service to an AP that depends on a priority factor associated with the AP. The method also includes sending configuration data to the APs based on the RRM optimization. ## Claims ### Claim 1 A method for use in a node to provide service differentiable radio resource management, RRM, in a wireless communication network, the method comprising: defining access point, AP, priority factors based on predefined criteria; performing an RRM optimization based on the priority factors, the optimization providing a measure of service to an AP that depends on a priority factor associated with the AP; and sending configuration data to the APs based on the RRM optimization. ### Claim 2 (depends on 1) The method of claim 1, further comprising: receiving survey data from a plurality of APs; determining a predictive periodic behavior of the wireless communication network; and wherein performing the RRM optimization is further based on the survey data and the predictive periodic behavior. ### Claim 3 (depends on 1) The method of claim 1, wherein the predefined criteria includes at least one of service class, annual seasons, special events, AP hardware, AP software version, standard specifications, environmental factors, logistic and organizational policies. ### Claim 4 (depends on 1) The method of claim 1, wherein the RRM optimization includes one of minimizing a cost function and maximizing a revenue function over a plurality of APs based on the priority factors and traffic load information. ### Claim 5 (depends on 4) The method of claim 4, wherein the traffic load information is estimated for at least one AP not managed by an operator hosting the manager node. ### Claim 6 (depends on 4) The method of claim 4, wherein the estimation of traffic load information for an AP is based on at least one of an average of traffic load information of other APs, and a maximum load of another AP, for which traffic load information is determinable. ### Claim 7 (depends on 1) The method of claim 1, wherein a blacklist of APs for which RRM configuration changes are not allowed is maintained. ### Claim 8 (depends on 1) The method of claim 1, wherein the node is a self-organizing, SON, manager node. ### Claim 9 A node configured to provide service differentiable radio resource management, RRM, in a wireless communication network, the node comprising: processing circuitry including a memory and a processor: the memory configured to store access point, AP, priority factors; and the processor configured to: define AP priority factors based on predefined criteria; perform an RRM optimization based on the priority factors, the optimization providing a measure of service to an AP that depends on a priority factor associated with the AP; and send configuration data to the APs based on the RRM optimization. ### Claim 10 (depends on 9) The node of claim 9, wherein the processor is further configured to: receive survey data from a plurality of APs; and determine a predictive periodic behavior of the wireless communication network; wherein the performing the RRM optimization is further based on the survey data and the predictive periodic behavior. ### Claim 11 (depends on 9) The node of claim 9, wherein the predefined criteria includes at least one of service class, annual seasons, special events, AP hardware, AP software version, standard specifications, environmental factors, logistic and organizational policies. ### Claim 12 (depends on 9) The node of claim 9, wherein the RRM optimization includes one of minimizing a cost function and maximizing a revenue function over a plurality of APs based on the priority factors and traffic load information. ### Claim 13 (depends on 12) The node of claim 12, wherein the traffic load information is estimated for at least one AP. ### Claim 14 (depends on 13) The node of claim 13, wherein the estimation of traffic load information for an AP is based on at least one of an average of traffic load information of other APs, and a maximum load of another AP, for which traffic load information is determinable. ### Claim 15 (depends on 9) The node of claim 9, wherein a blacklist of APs for which RRM configuration changes are not allowed is maintained. ### Claim 16 (depends on 9) The node of claim 9, wherein the node is a self-organizing, SON, manager node. ### Claim 17 A node configured to provide service differentiable radio resource management, RRM, in a wireless communication network, the node comprising: a priority factor definition module configured to define AP priority factors based on predefined criteria; an RRM optimizer module configured to perform an RRM optimization based on the priority factors, the RRM optimization providing a measure of service to an AP that depends on a priority factor associated with the AP; and a configuration data interface module configured to send configuration data to the APs based on the RRM optimization. ### Claim 18 (depends on 17) The node of claim 17, further comprising: a data interface module configured to receive survey data from a plurality of APs; and a periodic behavior prediction module configured to determine a predictive periodic behavior of the wireless communication network; wherein the RRM optimization is further based on the survey data and the predictive periodic behavior.