Coordinated Spatial Reuse With Shared AP Index Optimization for IEEE 802.11be WLAN Enhancement

As Internet of Things (IoT) technology rapidly develops, the use of IEEE 802.11 wireless local area networks (WLANs) has significantly increased. To meet further growing IoT demands, the IEEE 802.11be standards (Wi-Fi 7) include coordinated spatial reuse (CSR) technology to achieve a higher area sum throughput in dense WLAN environments. The IEEE 802.11be CSR scheme adjusts the transmission power considering interference through coordination between access points (APs). However, in addition to adjusting the transmission power, selecting a shared AP to perform concurrent transmission is also important in improving the area sum throughput performance. For this purpose, in this paper, SAIOC scheme is proposed, which aims to find optimal transmission power and shared AP index to maximize expected sum throughput derived based on a semi-Markov model developed. The proposed SAIOC system uses multi-agent deep reinforcement learning (MA-DRL) to efficiently maintain an optimized performance in dynamically changing conditions. The simulation results show that the proposed scheme can provide an improved performance compared to other related benchmarked schemes.