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Multiple Radios for Fast Rendezvous in Cognitive Radio Networks

机译:认知无线电网络中用于快速集合的多个无线电

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Rendezvous is a fundamental operation in cognitive radio networks (CRNs) for establishing a communication link on a commonly-available channel between cognitive users. The existing work on rendezvous implicitly assumes that each cognitive user is equipped with one radio (i.e., one wireless transceiver). As the cost of wireless transceivers is dropping, this feature can be exploited to significantly improve the rendezvous performance at low cost. In this study, we investigate the rendezvous problem in CRNs where cognitive users are equipped with multiple radios and different users may have different numbers of radios. We first study how the existing rendezvous algorithms can be generalized to use multiple radios for faster rendezvous. We then propose a new rendezvous algorithm, called (RPS), which specifically exploits multiple radios for more efficient rendezvous. Our basic idea is to let the cognitive users stay in a specific channel in one and hop on the available channels with parallel sequences in the remaining . We prove that our algorithm provides guaranteed rendezvous (i.e., rendezvous can be completed within a finite time) and derive the upper bounds on the maximum time-to-rendezvous (TTR) and the expected TTR. The simulation results show that i) multiple radios can cost-effectively improve the rendezvous performance, and ii) the proposed RPS algorithm performs better than the ones generalized from the existing algorithms.
机译:集合是认知无线电网络(CRN)中的一项基本操作,用于在认知用户之间的通用信道上建立通信链接。现有的集合点工作隐含地假设每个认知用户都配备了一个无线电(即一个无线收发器)。随着无线收发器成本的下降,可以利用此功能以低成本显着改善集合性能。在这项研究中,我们调查认知用户配备多个无线电而不同用户可能拥有不同数量无线电的CRN中的集合点问题。我们首先研究如何将现有的集合点算法推广到使用多个无线电来实现更快的集合点。然后,我们提出了一种称为(RPS)的新的集合算法,该算法专门利用多个无线电进行更有效的集合。我们的基本想法是让认知用户停留在一个特定的频道中,并在剩余的频道中跳到可用频道。我们证明了我们的算法提供了有保证的集合点(即可以在有限时间内完成集合点),并得出了最大集合点时间(TTR)和预期TTR的上限。仿真结果表明:i)多个无线电可以经济高效地改善集合点性能,并且ii)所提出的RPS算法的性能要优于现有算法中的通用算法。

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