Multi-agent reinforcement learning for intent-based service assurance in cellular networks. (arXiv:2208.03740v2 [cs.LG] UPDATED)

Recently, intent-based management has received good attention in telecom
networks owing to stringent performance requirements for many of the use cases.
Several approaches in the literature employ traditional closed-loop driven
methods to fulfill the intents on the KPIs. However, these methods consider
every closed-loop independent of each other which degrades the combined
performance. Also, such existing methods are not easily scalable. Multi-agent
reinforcement learning (MARL) techniques have shown significant promise in many
areas in which traditional closed-loop control falls short, …

arxiv cellular learning lg networks reinforcement reinforcement learning