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Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

机译:多信道认知无线电网络中的分布式多用户顺序信道感知方案

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Effective spectrum sensing strategies enable cognitive radios (CRs) to identify and opportunistically transmit on under-utilized spectral resources. In this paper, sequential channel sensing problems for single and multiple secondary users (SUs) networks are effectively modeled through finite state Markovian processes. More specifically, a model for single user case is introduced and its performance is validated through analytical analysis. Then, in order to address multiple SUs case, this model is extended to include the modified p-persistent access (MPPA) protocol. Since the scheme utilized experiences a high level of collision among the SUs, to mitigate the problem appropriately, p-persistent random access (PPRA) protocol is considered, which offers higher average throughput for SUs by statistically distributing their loads among all channels. The structure and performance of the proposed schemes are discussed in detail, and a set of illustrative numerical results is presented to validate and compare the performance of the proposed sense-access strategies.
机译:有效的频谱传感策略使认知无线电(CR)能够识别并在未充分利用的频谱资源上进行机会性传输。在本文中,通过有限状态马尔可夫过程对单个和多个二级用户(SU)网络的顺序信道感知问题进行了有效建模。更具体地说,引入了针对单个用户案例的模型,并通过分析分析验证了其性能。然后,为了解决多个SU的情况,该模型被扩展为包括修改的p-永久访问(MPPA)协议。由于所使用的方案在SU之间经历了高级别的冲突,因此为了适当地缓解该问题,考虑了p持久随机访问(PPRA)协议,该协议通过统计将SU的负载统计分配到所有通道中,从而为SU提供了更高的平均吞吐量。详细讨论了所提出的方案的结构和性能,并给出了一组说明性的数值结果来验证和比较所提出的感知访问策略的性能。

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