认知无线电自组网中基于唯一id的信道跳变交会算法

A. Ukey, M. Chawla
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引用次数: 2

摘要

认知无线电在共同可用信道上的交会是认知无线电网络形成过程中的基本和关键现象。会合使次要用户(su)能够检测彼此的存在并在它们之间建立通信链接。单元感知的空闲可用信道的多样性以及在集合前对单元存在的不感知使得集合过程成为一项不平凡的任务。在crn的动态环境中,分配一个通道作为所有su的公共控制通道(common control channel, CCC)是不可实现的,因为su可能有不同的可用通道,这些通道会随着时间和位置的变化而变化。因此,在crn中,信道跳变(CH)技术通常被称为盲交会技术。本文提出了一种基于唯一身份的信道跳(UID-CH)集合算法,该算法动态地操纵SUs的唯一身份,并在可用信道而不是总潜在许可信道的顶部构造CH序列。该算法的要点在于以循环的方式利用节点间的跳变和等待现象,如果一个节点在可用的信道上跳变,而另一个节点在特定的信道上等待,那么在第一个节点完成一轮的时候就可以保证会合。理论分析和仿真实验表明,该算法在没有明确时间同步要求的情况下,提供了有限时间内的交会保证,在crn的分布式动态环境下具有良好的性能。
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Unique-ID based channel hopping rendezvous algorithm for cognitive radio ad hoc networks
Rendezvous of cognitive radios on commonly available channels is fundamental and crucial phenomena in the formation of cognitive radio networks (CRNs). Rendezvous enables secondary users (SUs) to detect the presence of each other and establish communication links between them. The diversity in free available channels sensed by the SUs and non-awareness of the presence of SUs before rendezvous make the rendezvous process a non-trivial task. Assigning a channel as a common control channel (CCC) for all SUs is not feasible in the dynamic environment of CRNs since SUs may have diverse available channels that change with time and location. Hence, channel hopping (CH) technique often referred as blind rendezvous is more preferred in CRNs. In this paper, we present a unique identity based channel hopping (UID-CH) rendezvous algorithm that dynamically manipulate the unique identity of SUs and constructs the CH sequence on the top of available channels rather than the total potential licensed channels. The gist of the algorithm lies on hopping and waiting phenomena of SUs in a circular manner such that if one SU hops on available channels and the other SU waits on a particular channel then rendezvous can be guaranteed by the time first SU completes a round. Theoretical analysis and simulation experiments show that the UID-CH algorithm provides rendezvous guarantee in finite time without explicit requirement of time synchronization and performs well in distributed dynamic environment of CRNs.
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