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Channel Condition Based Contention Window Adaptation in IEEE 802.11 WLANs

机译：IEEE 802.11 WLAN中基于信道条件的竞争窗口适配

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摘要

In IEEE 802.11 standard, the backoff parameters of its collision avoidance mechanism can be very inefficient and hence, the network becomes far from its optimal behavior. There have been several mechanisms to tune the Contention Window (CW) with the aim to achieve the optimal throughput in the IEEE 802.11 WLAN, however, the mechanisms do not specifically address a proper setting of the backoff parameters under non-saturated conditions. Noting that typical 802.11 networks are usually non-saturated, in this paper, we analytically derive the CW sizes that maximize the WLAN system throughput under both saturated and non-saturated conditions. Then, using the CW sizes derived, we propose a distributed algorithm that enables each station to dynamically adapt its CW according to the channel congestion status. The performance of the proposed algorithm is investigated through simulation. Simulation results indicate that our proposed backoff algorithm provides a remarkable performance improvement in terms of the delay experienced by a packet in the MAC layer, while maintaining an optimal throughput close to the theoretical throughput limit of the IEEE 802.11 Distributed Coordination Function (DCF) access scheme.
机译：在IEEE 802.11标准中，其避免冲突机制的退避参数可能非常低效，因此网络变得远离其最佳行为。为了达到IEEE 802.11 WLAN中的最佳吞吐量，已经有几种机制可以调整竞争窗口（CW），但是，这些机制并未专门解决非饱和条件下退避参数的正确设置。注意到典型的802.11网络通常是不饱和的，因此在本文中，我们通过分析得出了CW大小，该大小可在饱和和非饱和条件下最大化WLAN系统的吞吐量。然后，使用派生的CW大小，我们提出了一种分布式算法，该算法可使每个站点根据信道拥塞状态动态地调整其CW。通过仿真研究了该算法的性能。仿真结果表明，我们提出的退避算法在MAC层中的数据包经历的延迟方面提供了显着的性能改进，同时保持了接近IEEE 802.11分布式协调功能（DCF）访问方案的理论吞吐量极限的最佳吞吐量。 。

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