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提高认知多跳网络的协作频谱感知方法

A Method of Cooperative Spectrum Sensing of Enhancement in Cognitive Radio Multi-hop Networks
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摘要 频谱感知技术是认知无线电关键技术之一。能否正确快速地感知主授权频谱,是认知用户进行通信的前提,也是衡量检测性能的标准之一。考虑衰落信道对检测性能的影响,文中提出一种在多跳认知无线网络中基于空时编码的多簇协作频谱感知方法。具体方案为:首先对认知用户进行分簇,然后根据距离对簇进行分级,最后簇头与它的上一级簇头进行Alamouti编码,并将编码后的感知信息通过多跳的方式发送到融合中心,以提高协作频谱感知的检测性能。仿真结果表明:采取多跳多簇认知网络不仅可以有效地减少发送的能量,而且多跳多簇认知网络的跳数和支路数会在一定范围内增强检测性能。同时,采用Alamouti编码之后的信道误码率得到了明显改善,检测性能得到大幅提高。 Spectrum sensing is one of the core technology of Cognitive Radio( CR). Whether the unlicensed spectrum can be sensed quickly and correctly is not only the premise of the communication,but also one of the standard of sensing detection. Considering the noise of fading channel,a method of multi- cluster cooperative spectrum sensing based on space- time coding in multi- hop cognitive radio networks was proposed. The program is shown in detail as follow. First,divide the cognitive users into different clusters. Secondly,classify the clusters based on distance. Next,the cluster head will adopt Alamouti coding with its upper level cluster. At last,the fusion center will get the coding information of sensing results. This program will help to enhance the detection capability. M ulti- cluster can reduce the power and sensing time. The simulation result suggests that suggested scheme can not only reduce the energy dissipation and improve the throughput,but also can improve the detection property in a certain scale. After Alamouti coding,the error rate decreases dramatically.
出处 《计算机技术与发展》 2016年第1期171-174,180,共5页 Computer Technology and Development
基金 中国博士后科学基金项目(2013M531393) 国家级大学生创新创业训练计划项目(201410293003) 江苏省博士后科研资助计划项目(1102102C) 江苏省高等学校大学生创新创业训练计划立项项目(201410293003Z) 南京邮电大学大学生创新训练计划项目(SZDG2014003)
关键词 认知无线电 协作频谱感知 能量检测 空时编码 cognitive radio cooperative spectrum sensing energy detection space-time coding
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  • 1廖楚林,陈劼,唐友喜,李少谦.认知无线电中的并行频谱分配算法[J].电子与信息学报,2007,29(7):1608-1611. 被引量:58
  • 2FCC. Spectrum policy task force report[EB/OL], http://www.fcc.gov/sptf/reports.html.
  • 3WEISS T, JONDRAL F. Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency[J]. IEEE Commun Mag, 2004 42(3):S8-S14.
  • 4AKYILDIZ I, LEE W, VURAN M, et al. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey[J]. Computer Networks Journal(Elsevier), 2006, 50( 13):2127-2159.
  • 5CABRIC D, MISHRA S M, BRODERSEN R W. Implementation issues in spectrum sensing for cognitive radios [A]. Proc 38th Asilo- mar Conf Signals, Syst, Computers[C]. United States, 2004. 772-776.
  • 6GHASEMI A, SOUSA E S. Collaborative spectrum sensing for op- portunistic access in fading environments[A]. Proc lth IEEE Int Syrup New Front Dynamic Spect Netw DySPAN[C]. Baltimore, MD, Uni~l States, 2005.131 - 136.
  • 7GANESAN G, LI Y. Cooperative spectrum sensing in cognitive radio, part I: two user networks[J]./EEE Transactions on Wireless Communications, 2007, 6(6): 2204-2212.
  • 8GANESAN G, LI Y. Cooperative spectrum sensing in cognitive radio,part II: multiuser networks [J]. IEEE Transactions on Wireless Communications, 2007, 6(6): 2214-2222.
  • 9AM/R (i, ELVINO S S. Opportunistic spectrum access in fading channels through collaborative sensing[J]. Journal of Communications, 2007, 2(2): 71-82.
  • 10LIANG Y C, ZENG Y H, PEH E, et al. Sensing-throughput tradeoff for cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2008, 7(4): 1326-1337.

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