ml-rrm

Profile Config Commands

Enables ML-RRM (Machine Learning - Radio Resource Management) agent on the AP's profile or device context. When enabled, the ExtremeAI ML agent, sends RF metrics to the ExtremeAI instance that is integrated with the orchestration management software, such as ExtremeCloud™. ExtremeAI analyzes information received from the access point to learn network conditions and user requirements. Based on this learning, ExtremeAI dynamically fine-tunes the radio to enhance network performance and achieve optimum results. Statistical data is displayed in the orchestration management user interface.

Note

You can use this option only on the WiNG AP7632 and AP7662 model access points and only if the APs are adopted to ExtremeCloud.

Note

ExtremeAI can be enabled on the access point through the ExtremeCloud UI. For more information on ExtremeAI, please refer to the ExtremeAI User Guide available at https://extremenetworks.com/documentation.

We recommend ML-RRM is an alternative solution to Smart RF management of radio resources. It is an efficient and innovative means of managing radio settings, such as channel assignment, transmit power settings, client steering, load balancing, etc. Further, ML-RRM is proactive rather than being reactive. It constantly analyzes real-time data to determine the best possible radio settings needed to make your network run efficiently and provide your users a positive experience.

If enabling ML-RRM on the access points, in the radio context, allow ML-RRM to set the radio's channel and/or transmit power settings. For more information, see power and channel commands.

Supported in the following platforms:

• Access Points — AP7632, AP7662

Syntax

Parameters

None

Examples

Here is a sample output that shows the ml-rrm configurations made on the AP7662 profile. Note, this AP is ExtremeCloud adopted.

ap7662(config)#show running-config profile anyap ece9601103a711e985729b37513dbd86 | in ml-rrm
  channel ml-rrm
  power ml-rrm
  channel ml-rrm
  power ml-rrm
 ml-rrm
ap7662(config)#