Prediction-Based Topology Control and Routing in Cognitive Radio Mobile Ad Hoc Networks
Prediction-Based Topology Control and Routing in Cognitive Radio Mobile Ad Hoc Networks
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DOI：
10.1109/tvt.2010.2069105
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发表时间：
2010-11-01
影响因子：
6.8
通讯作者：
Wei, Gang
中科院分区：
文献类型：
--
作者：
Guan, Quansheng;Yu, F. Richard;Wei, Gang
近年来，认知无线电的研究主要集中在机会性频谱接入和频谱利用上。然而，认知无线电技术将对无线网络的上层性能产生重大影响，特别是在移动自组织网络(MANET)中。本文研究了CR-MANET中的拓扑控制和路由问题，并提出了一种基于分布式预测的认知拓扑控制(PCTC)方案来为CR-MANET中的路由提供认知能力。PCTC是一个类似中间件的跨层模块，位于CR模块和路由之间。它使用认知链路可用性预测来预测链路的可用时长，认知链路可用性预测能够感知对主用户和用户移动性的干扰。在链路预测的基础上，PCTC捕获拓扑结构的动态变化，构建高效可靠的拓扑结构，以减少重路由次数，提高端到端网络的吞吐量和时延等性能。仿真结果表明了该方案的有效性。
Recent research activities on cognitive radio (CR) have mainly focussed on opportunistic spectrum access and spectrum utilization. However, CR technology will have a significant impact on upper layer performance in wireless networks, particularly in mobile ad hoc networks (MANETs). In this paper, we study topology control and routing issues in CR-MANETs and propose a distributed prediction-based cognitive topology control (PCTC) scheme to provision cognition capability to routing in CR-MANETs. PCTC is a middleware-like cross-layer module residing between CR module and routing. It uses cognitive link availability prediction, which is aware of the interference to primary users and user mobility, to predict the available duration of links. Based on the link prediction, PCTC captures the dynamic changes of the topology and constructs an efficient and reliable topology, which is aimed at mitigating rerouting frequency and improving end-to-end network performance such as throughput and delay. Simulation results are presented to show the effectiveness of the proposed scheme.