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arXiv 1506.01136cs.NI
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基于可用信道集的高效跳频重传算法

Efficient Channel-Hopping Rendezvous Algorithm Based on Available Channel Set

Lu Yu, Hai Liu, Yiu-Wing Leung, Xiaowen Chu, Zhiyong Lin

摘要:

在认知无线电网络中,会合是两个认知用户在一个公共可用信道上建立通信链路进行通信的基本操作。现有的一些交会算法能够保证在有限时间内完成交会,并且基于整个信道集产生信道跳变序列。然而,某些信道可能不可用(例如,它们正被许可用户使用),并且这些现有算法将随机替换CH序列中的不可用信道。这种随机替换是无效的,特别是当不可用信道的数量很大时。在本文中,我们设计了一个新的交会算法,尝试交会的可用信道上只有更快的交会。这种新算法称为基于可用信道集的交织序列(ISAC),它构造一个奇子序列和一个偶子序列,并将这两个子序列交织成CH序列。我们证明了ISAC提供了保证的会合(即,可以在有限时间内实现会合)。我们推导出对称模型下的最大交会时间(MTTR)的上界为O(m)(m不大于Q),非对称模型下的上界为O(mn)(n不大于Q),其中m和n是两个用户的可用信道数,Q是信道总数(即,所有可能可用的信道)。我们进行了广泛的计算机模拟证明,ISAC给显着较小的MTTR比现有的算法。

英文摘要:

In cognitive radio networks, rendezvous is a fundamental operation by which two cognitive users establish a communication link on a commonly-available channel for communications. Some existing rendezvous algorithms can guarantee that rendezvous can be completed within finite time and they generate channel-hopping (CH) sequences based on the whole channel set. However, some channels may not be available (e.g., they are being used by the licensed users) and these existing algorithms would randomly replace the unavailable channels in the CH sequence. This random replacement is not effective, especially when the number of unavailable channels is large. In this paper, we design a new rendezvous algorithm that attempts rendezvous on the available channels only for faster rendezvous. This new algorithm, called Interleaved Sequences based on Available Channel set (ISAC), constructs an odd sub-sequence and an even sub-sequence and interleaves these two sub-sequences to compose a CH sequence. We prove that ISAC provides guaranteed rendezvous (i.e., rendezvous can be achieved within finite time). We derive the upper bound on the maximum time-to-rendezvous (MTTR) to be O(m) (m is not greater than Q) under the symmetric model and O(mn) (n is not greater than Q) under the asymmetric model, where m and n are the number of available channels of two users and Q is the total number of channels (i.e., all potentially available channels). We conduct extensive computer simulation to demonstrate that ISAC gives significantly smaller MTTR than the existing algorithms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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