Adaptive Transmission Modes Selection and Resource Allocation in Wi-Fi Networks

• Published in: IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 1 - 6
• Main Authors: Lin, Yang, He, Rong, Wang, Chuang, Fang, Xuming
• Format: Conference Proceeding
• Language: English
• Published: IEEE 24.03.2025
• Subjects: Adaptive systems; Data communication; Delays; genetic algorithm; Genetic algorithms; MU-MIMO; OFDM; OFDMA; Quality of service; resource allocation; Resource management; Simulation; Throughput; transmission mode selection; Wi-Fi; Wireless fidelity
• ISSN: 1558-2612
• DOI: 10.1109/WCNC61545.2025.10978587

The IEEE 802.11ax and 802.11be standards support multiple data transmission modes, including orthogonal frequency division multiple access (OFDMA), single-user multiple input multiple output (SU-MIMO), multi-user MIMO (MU-MIMO), and combination of OFDMA and MU-MIMO transmission mode. One of the significant challenges of improving system performance is how to select proper transmission mode and allocate resources based on the characteristics of transmission modes and quality of service (QoS) requirements of different traffic types. In this paper, we propose an adaptive algorithm for selecting data transmission modes. The optimization goal is to maximize the sum of user satisfactions degree, namely system satisfaction degree, subject to the delay requirements of latency-sensitive traffics. We adopt the genetic algorithm to obtain the decision of transmission mode selection. Moreover, we design the resource unit (RU) and spatial stream allocation algorithms to maximize resource utilization ratio. The simulation results show that the proposed algorithm can adaptively select suitable transmission modes for the scheduled users, and provide frequency and stream resources allocation. Compared to three baseline algorithms, the system satisfaction and throughput can be improved significantly,