Adaptive Channel Selection and Traffic Allocation for IEEE 802.11be MLO Using a Distributed Spectrum Management Database
Due to the rapid growth of smartphones, tablets, and IoT devices, wireless LAN traffic continues to increase, causing severe congestion in high-density environments. Although IEEE 802.11be introduces Multi-Link Operation (MLO) to improve performance by utilizing multiple links, conventional fixed channel selection and traffic allocation schemes cannot adapt to dynamically changing wireless environments. To address this problem, this paper proposes an adaptive channel selection and traffic allocation method based on a distributed spectrum management database that shares real-time channel utilization information among access points. The proposed method dynamically selects channels and allocates traffic for each MLO link according to both channel occupancy and link capacity, enabling efficient utilization of frequency resources. Simulation results using the network simulator ns-3 demonstrate that the proposed method improves total network throughput compared to conventional approaches in high-density environments.