首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks
【24h】

Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks

机译:认知无线电网络的跳-跳交会算法

获取原文
获取原文并翻译 | 示例
           

摘要

Cognitive radio networks (CRNs) have emerged as advanced and promising paradigm to exploit the existing wireless spectrum opportunistically. It is crucial for users in CRNs to search for neighbors via rendezvous process and thereby establish the communication links to exchange the information necessary for spectrum management and channel contention, etc. This paper focuses on the design of algorithms for blind rendezvous, i.e., rendezvous without using any centralized controller and common control channel (CCC). We propose a jump-stay channel-hopping (CH) algorithm for blind rendezvous. The basic idea is to generate CH sequence in rounds and each round consists of a jump-pattern and a stay-pattern. Users “jump” on available channels in the jump-pattern while “stay” on a specific channel in the stay-pattern. We prove that two users can achieve rendezvous in one of four possible pattern combinations: jump-stay, stay-jump, jump-jump, and stay-stay. Compared with the existing CH algorithms, our algorithm has the overall best performance in various scenarios and is applicable to rendezvous of multiuser and multihop scenarios. We derive upper bounds on the maximum time-to-rendezvous (TTR) and the expected TTR of our algorithm for both 2-user and multiuser scenarios (shown in Table 1). Extensive simulations are conducted to evaluate the performance of our algorithm.
机译:认知无线电网络(CRN)已经成为利用机会来利用现有无线频谱的先进且有希望的范例。对于CRN中的用户来说,通过会合过程搜索邻居,从而建立通信链路来交换频谱管理和信道争用等所需的信息至关重要。本文着重于盲点会合算法的设计,即,不带交会的会合。使用任何集中式控制器和通用控制通道(CCC)。我们提出了一种用于盲点会合的跳-跳信道跳跃(CH)算法。基本思想是在回合中生成CH序列,每个回合均包含一个跳转模式和一个停留模式。用户在跳转模式中的可用频道上“跳转”,而在停留模式中的特定频道上“停留”。我们证明了两个用户可以通过四种可能的模式组合之一实现集合点:跳跃,停留,跳跃,跳跃和停留。与现有的CH算法相比,我们的算法在各种情况下均具有最佳性能,适用于多用户和多跳场景的集合。我们针对2用户和多用户场景(表1中所示)得出了算法的最大交会时间(TTR)和预期TTR的上限。进行了广泛的仿真,以评估我们算法的性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号