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arXiv 2008.09438cs.NI

车联网基础设施网络中IEEE 802.11 DCF的分析建模与仿真验证

Analytical modeling and simulation validation of IEEE 802.11 DCF in vehicular-to-infrastructure networks

Karabuk University(卡拉布克大学)

Aytül Bozkurt

AI总结:

本文针对V2I网络中IEEE 802.11 DCF,构建结合车辆流量、退避过程与M/G/1/K队列的分析模型,经ns-3仿真验证后,发现有限缓冲区下标准重传限制接近最优,明确重传调整的有益运行范围。

摘要:

沿路边部署的IEEE 802.11接入点(AP)提供的车联网基础设施(V2I)通信,需在多车辆共享同一信道的竞争环境下运行。本文研究车辆通过802.11无线局域网(WLAN)中AP时的传输性能与网络性能。首先推导分析型流量模型,得出AP传输范围内的车辆数量;将该流量描述与退避过程的马尔可夫链表示、到达分组的M/G/1/K队列相结合,构建可评估自适应重传限制下DCF性能的模型,并推导AP平均到达率的概率。本研究的独特之处在于,将车辆流量模型、退避过程与M/G/1/K队列模型相结合,以考察流量负载和系统参数对网络的影响。通过独立的ns-3分组级仿真验证该分析框架:吞吐量、碰撞率和传输概率的预测结果与仿真高度吻合。利用验证后的框架考察最优重传次数,发现现实有限缓冲区条件下,标准802.11重传限制已接近延迟和信息新鲜度的最优值,无限缓冲区分析预测的大幅增益在分组级验证中无法实现。本文明确报告该发现,并以此界定重传限制调整有益的运行范围。

英文摘要:

Vehicle-to-infrastructure (V2I) communication over IEEE 802.11 access points (APs) deployed along the roadside must operate under the contention of many vehicles sharing one channel. We investigate the transmission and network performance of vehicles passing through an AP over 802.11 WLANs. We first derive an analytical traffic model that yields the number of vehicles within the transmission range of an AP. Coupling this traffic description with a Markov-chain representation of the backoff process and an M/G/1/K queue for arriving packets, we obtain a model that evaluates DCF performance under an adaptively chosen retransmission limit, and we derive the probability of the mean arrival rate to the AP. A distinctive aspect of this work is that it integrates the vehicular traffic model and the backoff procedure with the M/G/1/K queueing model to examine the impact of traffic load and system parameters on the network. We validate the analytical framework against an independent ns-3 packet-level simulation: the throughput, collision, and transmission-probability predictions agree closely with simulation. Using the validated framework to examine the optimal retransmission number, we find that under realistic finite-buffer conditions the standard 802.11 retransmission limit is already close to optimal for delay and information freshness, so the large gains predicted by an infinite-buffer analysis do not survive packet-level validation. We report this finding explicitly and use it to delimit the operating regime in which retransmission-limit tuning is beneficial.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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