2021/02/09 by Piotr Gawłowicz, Jean Walrand, Gawłowicz, Piotr +3
Computer Science · Engineering · #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Wireless Networks and Protocols
paper · pdf · doi:10.48550/arxiv.2102.05149
openalex publication_date 2021/02/09 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
In this paper, we revisit the widely known performance anomaly that results\nin severe network utility degradation in WiFi networks when nodes use diverse\nmodulation and coding schemes. The proportional-fair allocation was shown to\nmitigate this anomaly and provide a good throughput to the stations. It can be\nachieved through the selection of contention window values based on the\nexplicit solution of an optimization problem or, as proposed recently, by\nfollowing a learning-based approach that uses a centralized gradient descent\nalgorithm. In this paper, we leverage our recent theoretical work on\nasynchronous distributed optimization and propose a simple algorithm that\nallows WiFi nodes to independently tune their contention window to achieve\nproportional fairness. We compare the throughputs and air-time allocation that\nthis algorithm achieves to those of the standard WiFi binary exponential\nback-off and show the improvements.\n