一种基于马尔可夫链模型的密集无线局域网竞争窗口控制方案

Yoshiaki Morino, T. Hiraguri, H. Yoshino, K. Nishimori, Atsuo Tachibana, T. Matsuda
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引用次数: 12

摘要

在基于csma /CA (Carrier Sense Multiple Access with CollisionAvoidance)的IEEE 802.11[1]无线局域网中,争用窗口(CW)等参数对其吞吐量性能影响很大。在本文中,我们提出了一种新的连续波控制方案,以实现在密集用户环境下的高吞吐量性能。标准的CSMA/CA机制根据分组重传的数量采用自适应的CW控制,而本方案采用的CW大小是终端站(sta)数量的函数。在该方案中,接入点(AP)根据测量的分组碰撞概率估计sta的数量,并基于马尔可夫链模型的理论分析得出最佳CW大小。通过在密集环境下的仿真实验,我们评估了该方案的性能,并表明该方案显著提高了吞吐量性能。
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A Novel Contention Window Control Scheme Based on a Markov Chain Model in Dense WLAN Environment
In IEEE 802.11[1] wireless LANs based onCSMA/CA (Carrier Sense Multiple Access with CollisionAvoidance), parameters such as contention window (CW)significantly affects its throughput performance. In this paper,we propose a novel CW control scheme in order to achievethe high throughput performance in dense user environments.While the standard CSMA/CA mechanism employs an adaptiveCW control according to the number of packet retransmissions,the proposed scheme uses the optimum CW size, which is afunction of the number of terminal stations (STAs). In theproposed scheme, an access points (AP) estimates the numberof STAs from the measured packet collision probability, andderives the optimum CW size based on a theoretical analysisusing a Markov chain model. With simulation experimentsin a dense environment, we evaluate the performance of theproposed scheme and show that it significantly improves thethroughput performance.
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