Improved Abstraction for Clear Channel Assessment in ns-3 802.11 WLAN Model

Improved Abstraction for Clear Channel Assessment in ns-3 802.11 WLAN Model
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改进了 ns-3 802.11 WLAN 模型中畅通信道评估的抽象

DOI:
10.1145/3321349.3321353
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发表时间:
2019
期刊:
Proc. 2019 Workshop on ns-3
影响因子:
--
通讯作者:
Deronne, Sébastien
Deronne, Sébastien
中科院分区:
--
文献类型:
--
作者:
Lanante, Leonardo;Roy, Sumit;Carpenter, Scott E.;Deronne, Sébastien

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ns-3面临的一个重要挑战是能够对日益密集和异构的网络进行有效的性能评估,认识到跨层(特别是第1层和第2层)的相互作用。在这项工作(美国华盛顿努力的延续)中,我们提出了改进的物理层抽象,用于所有802.11 WLAN MAC性能评估的关键组件- CSMA/CA核心的清晰通道评估(CCA)程序-用于在ns-3模拟器中实现。我们对通常在802.11无线电中实现的前导相关过程进行建模,并将结果检测概率表示为具有不同接收灵敏度策略的参数化相关阈值的查找表。此外,我们还添加了一个新的载波检测阈值调整机制,允许节点绕过默认的(迄今为止是固定的)-82dBm阈值。这种能力与ns-3一致,用于配备新的空间重用机制的密集网络的性能评估。我们通过模拟动态灵敏度控制(DSC)的空间重用收益来证明这一点,并根据IEEE 802.11ax标准组的贡献进行了验证。利用固定速率多bss网络的仿真结果,我们确定了有价值的设计准则,以最大化DSC的总吞吐量。
An important challenge for ns-3 is to enable efficient performance evaluation of increasingly dense and heterogeneous networks, cognizant of cross-layer (specifically, Layers 1 & 2) interactions. In this work (a continuation of U. Washington efforts), we present improved physical layer abstractions for a key component underlying all 802.11 WLAN MAC performance evaluation - the Clear Channel Assessment (CCA) procedure central to CSMA/CA - for implementation in the ns-3 simulator. We model the preamble correlation process as typically implemented in 802.11 radio and represent the resulting probability of detection as a look-up table with a parameterized correlation threshold for different receive sensitivity strategies. Further, we also added a new carrier sense threshold adjustment mechanism to allow nodes to enable bypassing the default (and to date, fixed) -82dBm threshold. Such a capability aligns ns-3 for performance evaluation of dense networks equipped with new spatial reuse mechanisms. We demonstrate this via simulation of spatial reuse gains from dynamic sensitivity control (DSC) that are verified against IEEE 802.11ax standards group contributions. Using simulation results from a fixed rate multi-BSS network, we then identify valuable design guidelines to maximize the aggregate throughput with DSC.
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