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FMAC for Coexisting Ad Hoc Cognitive Radio Networks

机译:特设认知无线电网络共存的FMAC

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Media access control plays a critical role in cognitive radio networks (CRNs). In our previous work, we have proposed a fairness-oriented media access control (FMAC) protocol to achieve fair and efficient coexistence of infrastructure-based CRNs. In this paper, we enhance FMAC to be used for coexisting ad hoc CRNs, where no centralized base stations exist, and secondary users (SUs) access channel independently. In FMAC, the contention window size is essential to network performance such as throughput. We first derive the optimal contention window size, which can then be used by SUs to achieve optimal throughput. However, the optimal contention window size is closely related to the total number of users of all CRNs, which is typically unknown to each individual SU of coexisting ad hoc CRNs. We attack this problem by building a bridge between the average number of consecutive idle time slots and optimal contention window size, since the average number of consecutive idle time slots can be easily observed by each individual SU. Hence, SUs can independently adjust their contention window size by observing their current average number of consecutive idle time slots and eventually approach the optimal contention window without the information of the total number of SUs. Extensive simulations are conducted and the results verify that the enhanced FMAC is able to significantly improve the fairness among coexisting ad hoc CRNs while maintaining good throughput.
机译:媒体访问控制在认知无线电网络(CRN)中扮演着至关重要的角色。在我们之前的工作中,我们提出了一种面向公平的媒体访问控制(FMAC)协议,以实现基于基础架构的CRN的公平,高效的共存。在本文中,我们增强了FMAC,以用于不存在集中式基站且次要用户(SU)独立访问信道的并存ad hoc CRN。在FMAC中,争用窗口的大小对于网络性能(例如吞吐量)至关重要。我们首先得出最佳竞争窗口大小,然后SU可以使用它来实现最佳吞吐量。但是,最佳竞争窗口的大小与所有CRN的用户总数密切相关,而这对于共存自组织CRN的每个单独的SU通常是未知的。我们通过在连续的空闲时隙的平均数量和最佳竞争窗口大小之间建立桥梁来解决这个问题,因为每个单独的SU都可以轻松地观察到连续的空闲时隙的平均数量。因此,SU可以通过观察其当前连续空闲时隙的平均数量来独立调整其竞争窗口大小,并最终在没有SU总数的信息的情况下接近最佳竞争窗口。进行了广泛的仿真,结果证明增强的FMAC能够显着提高共存ad hoc CRN之间的公平性,同时保持良好的吞吐量。

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