802.11网络中基于邻近点算法的比例公平优化

摘要

802.11Wi-Fi网络中,接入点(AP)的介质接入控制(MAC)协议分配给它的竞争用户(STA)相等的传输机会而不考虑的用户的链路质量的差异,这就会导致有着不同链路质量的竞争节点获得相等的吞吐量(基于吞吐量的公平性),从而降低网络整体的性能.为了克服这一性能异常问题,基于比例公平的优化由于其吞吐量增强能力已经引起广大的关注.在本文中,提出了一种基于邻近点算法的比例公平优化方法,每个竞争节点根据其链路质量的差异使用不同的接入概率来访问接入点.数值结果验证了我们的理论分析,Wi-Fi网络的吞吐量可以通过接入概率的优化得到显着改善.%In the 802.11 Wi-Fi networks, an access point (AP) adopting a medium access control (MAC) protocol assigns equal transmission opportunities to its own contenders without taking differences of users' link qualities, in this way, this leads to equal achieved throughputs (throughput based fairness) among contending nodes with different link qualities, which degrades networks severely. In order to conquer the performance anomaly problem, proportion fairness optimization has drawn great attention for its high throughput enhancement. In this paper, we propose a proportional fairness optimization based on proximal point algorithm, in which each competing nodes use different access probability to access APs by taking differences of users' link qualities. Numerical results verify our theoretical analysis and the Wi-Fi network throughput can be dramatically improved with the optimization among APs.