基于干扰微分的CSMA自适应

Jing Zhu, Xingang Guo, Sumit Roy, K. Papagiannaki
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引用次数: 25

摘要

本文讨论了在新兴的高密度(HD)无线局域网中减小干扰的设计挑战。提出了根据干扰相对于期望信号的能量和时间来区分干扰,并在发射机本地测量每种干扰的分组误码率(PER)。然后,设计了自适应算法来调整a)清晰信道评估(CCA)阈值,即物理载波感知阈值,以利用空间重用实现更高的总吞吐量;b)发射功率(TP)来补偿链路之间的位置差异,并防止单个链路饿死。与端到端(E2E)反馈循环相比,我们的复杂性可以忽略不计,空中开销为零。广泛的OPNET模拟用于比较我们的解决方案与传统和理想的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CSMA Self-Adaptation Based on Interference Differentiation
This paper addresses the design challenge of interference mitigation in the emerging high density (HD) wireless LAN. It is proposed to differentiate interference according to their energy and timing relative to desired signal, and measure packet error rate (PER) locally at transmitter for each type of interference. Then, self-adaptation algorithms are designed to adjust a) clear channel assessment (CCA) threshold, aka physical carrier sensing threshold, to leverage spatial reuse for achieving higher aggregate throughput, and b) transmit power (TP) to compensate location difference among links, and prevent individual links from starving. Compared to an end-to-end (E2E) feedback loop, ours has negligible complexity and zero over-the-air overhead. Extensive OPNET simulations are used to compare the performance of our solutions against the legacy and the ideal.
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