Saturation throughput analysis of IEEE 802.11 in the presence of non ideal transmission channel and capture effects
Saturation throughput analysis of IEEE 802.11 in the presence of non ideal transmission channel and capture effects
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DOI：
10.1109/tcomm.2008.060397
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发表时间：
2007-10
影响因子：
8.3
通讯作者：
F. Daneshgaran;M. Laddomada;F. Mesiti;M. Mondin;M. Zanolo
中科院分区：
文献类型：
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作者：
F. Daneshgaran;M. Laddomada;F. Mesiti;M. Mondin;M. Zanolo
在本文中，我们通过考虑瑞利衰落环境中传输信道和捕获效应的影响，对数据链路层的 IEEE 802.11 协议进行饱和吞吐量分析。非理想信道和捕获效应的影响，特别是在高干扰环境中，对于实际观察到的吞吐量而言变得很重要。就 4 路握手机制而言，我们扩展了表征 MAC 层行为的多维马尔可夫状态转换模型，包括了传输状态，该传输状态解释了由于信道传播引起的错误而导致的数据包传输失败。这样，可以适应表征物理传输介质的任何信道模型，包括 AWGN 和衰落信道。我们还扩展了马尔可夫模型，以便考虑采用基本的双向握手机制时竞争窗口的行为。在关于每个节点生成的流量和数据包冲突独立性的通常假设下，我们求解马尔可夫链的平稳概率，并开发饱和吞吐量的表达式，作为终端数量、数据包大小、原始通道错误率、捕获概率和其他关键系统参数的函数。然后将理论推导与仿真结果进行比较，确认所提出模型的有效性。
In this paper, we provide a saturation throughput analysis of the IEEE 802.11 protocol at the data link layer by including the impact of both transmission channel and capture effects in Rayleigh fading environment. Impacts of both non-ideal channel and capture effects, specially in an environment of high interference, become important in terms of the actual observed throughput. As far as the 4-way handshaking mechanism is concerned, we extend the multi-dimensional Markovian state transition model characterizing the behavior at the MAC layer by including transmission states that account for packet transmission failures due to errors caused by propagation through the channel. This way, any channel model characterizing the physical transmission medium can be accommodated, including AWGN and fading channels. We also extend the Markov model in order to consider the behavior of the contention window when employing the basic 2-way handshaking mechanism. Under the usual assumptions regarding the traffic generated per node and independence of packet collisions, we solve for the stationary probabilities of the Markov chain and develop expressions for the saturation throughput as a function of the number of terminals, packet sizes, raw channel error rates, capture probability, and other key system parameters. The theoretical derivations are then compared to simulation results confirming the effectiveness of the proposed models.