Multi-agent reinforcement learning for intent-based service assurance in cellular networks. (arXiv:2208.03740v1 [cs.LG])

Recently, intent-based management is receiving good attention in telecom
networks owing to stringent performance requirements for many of the use cases.
Several approaches on the literature employ traditional methods in the telecom
domain to fulfill intents on the KPIs, which can be defined as a closed loop.
However, these methods consider every closed-loop independent of each other
which degrades the combined closed-loop performance. Also, when many closed
loops are needed, these methods are not easily scalable. Multi-agent
reinforcement learning (MARL) …

arxiv cellular learning lg networks reinforcement reinforcement learning