Interference-free AP identification and shared information reduction for tabular Q-learning-based WLAN coordinated spatial reuse
Yuto Kihira, Koji Yamamoto, Akihito Taya, Takayuki Nishio, Yusuke Koda, Kazuto Yano · IEICE Communications Express · 2022
Access point (AP) coordinated spatial reuse with Q-learning enables efficient spectrum utilization [1]. Although sharing of transmission schedules among APs is necessary for coordination, there is no mechanism to identify the APs with which the schedules are to be shared, resulting in excess information being shared among APs. In this study, we propose a scheme to identify the interference-free APs that are not required for sharing of information by comparing Q-values. A simple simulation demonstrates that this scheme successfully reduces shared information without throughput degradation.