Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems

Excerpt

arXiv:2603.16470v2 Announce Type: replace-cross Abstract: The integration of satellite communication networks with next-generation (NG) technologies is a promising approach towards global connectivity. However, the quality of services is highly dependant on the availability of accurate channel state information (CSI). Channel estimation in satellite communications is challenging due to the high propagation delay between terrestrial users and satellites, which results in outdated CSI observations