Reflection-Driven Self-Improving Language Model Agents for Adaptive RAN Slicing.

arXiv:2603.10564v2 Announce Type: replace Abstract: Adaptive control in AI-native networks remains challenging because tasks such as dynamic Radio Access Network (RAN) slicing require persistent trade-off decisions among spectrum efficiency, service quality, a