# US 2021/0243588 A1 · Adaptive wireless client steering > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0243588 A1 - Document ID: US20210243588A1 - Status: Published application - Kind: A1 - Application number: 17/239,770 - Filed: 2021-04-26 - Published: 2021-08-05 - Earliest claimed: 2018-07-26 - Assignees: Hewlett Packard Enterprise Development LP - Applicants: Hewlett Packard Enterprise Development LP - Inventors: Sachin GANU; Bernd BANDEMER; Jose TELLADO; Gaurav PATWARDHAN - Web page: https://patentgrep.com/patent/US20210243588A1 ## CPC - H04B 17/391: Modelling the propagation channel - H04W 8/14: between corresponding nodes - G06N 5/025: Extracting rules from data - G06N 5/04: Inference or reasoning models - G06N 20/00: Machine learning - H04B 17/3912: {Simulation models, e.g. distribution of spectral power density or received signal strength indicator [RSSI] for a given geographic region} - H04L 41/16: using machine learning or artificial intelligence - H04W 60/04: using triggered events - H04W 24/02: Arrangements for optimising operational condition - H04W 84/12: WLAN [Wireless Local Area Networks] - H04B: TRANSMISSION - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract An example network information aggregator is disclosed. The network information aggregator includes a network interface, a memory, and processing circuitry. The processing circuitry is to receive a machine learning model trained using initialization data from a model creation device. The processing circuitry is also to generate a device steering rule to steer a client device from a first radio to a second radio using the machine learning model. The processing circuitry is also to send a steer command to the first radio. ## Claims ### Claim at position 1 1-20. (canceled) ### Claim 21 A network information aggregator comprising a network interface, a memory, and processing circuitry to: train a machine learning model using initialization data stored in a training data repository, the initialization data including roaming information generated by a different network information aggregator of a different network; generate, using the machine learning model, a device steering rule including radio environment criteria; and transmit the device steering rule to a network device. ### Claim 22 (depends on 21) The network information aggregator of claim 21, wherein a steer command is sent to a first radio in response to, in part, radio environment characteristics of the first radio matching radio environment criteria of the device steering rule. ### Claim 23 (depends on 22) The network information aggregator of claim 22, wherein the processing circuitry is also to receive a response to the steer command, including a result of applying the steer command. ### Claim 24 (depends on 22) The network information aggregator of claim 22, wherein the network information aggregator is a component of an access point including the first radio. ### Claim 25 (depends on 21) The network information aggregator of claim 21, the processing circuitry further to: receive a roaming record from the network device; and update the machine learning model using data including the roaming record from the network device. ### Claim 26 A method, comprising: training a machine learning model using initialization data stored in a training data repository, the initialization data including roaming information generated by a different network information aggregator of a different network; generating, by a network information aggregator using the machine learning model, a device steering rule including radio environment criteria; and transmitting, by the network information aggregator, the device steering rule to a network device. ### Claim 27 (depends on 26) The method of claim 26, wherein a steer command is sent to a first radio in response to, in part, radio environment characteristics of the first radio matching radio environment criteria of the device steering rule. ### Claim 28 (depends on 27) The method of claim 27, further comprising: receiving a response to the steer command, including a result of applying the steer command. ### Claim 29 (depends on 27) The method of claim 27, wherein the network information aggregator is a component of an access point including the first radio. ### Claim 30 (depends on 26) The method of claim 26, further comprising: receiving a roaming record from the network device; and updating the machine learning model using data including the roaming record from the network device. ### Claim 31 A non-transitory, computer-readable medium comprising instructions that, when executed by processing circuitry, cause the processing circuitry to: train a machine learning model using initialization data stored in a training data repository, the initialization data including roaming information generated by a different network information aggregator of a different network; generate, using the machine learning model, a device steering rule including radio environment criteria; and transmit the device steering rule to a network device. ### Claim 32 (depends on 31) The computer readable medium of claim 31, wherein a steer command is sent to a first radio in response to, in part, radio environment characteristics of the first radio matching radio environment criteria of the device steering rule. ### Claim 33 (depends on 32) The computer readable medium of claim 32, wherein the processing circuitry is also to receive a response to the steer command, including a result of applying the steer command. ### Claim 34 (depends on 32) The computer readable medium of claim 32, wherein the network information aggregator is a component of an access point including the first radio. ### Claim 35 (depends on 31) The computer readable medium of claim 31, the processing circuitry further to: receive a roaming record from the network device; and update the machine learning model using data including the roaming record from the network device.