期刊文献+

认知无线电中基于数据冲突的吞吐量和感知周期均衡 被引量:2

Throughput Trade-off with Sensing Period Based on Data Collisions in Cognitive Radios
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摘要 为了实现认知无线电用户的数据吞吐量与感知周期的均衡,在分析主用户数据流量的指数分布模型和认知用户的周期帧结构模型的基础上,建立了相应的数据冲突模型,优化设计了认知用户的感知周期,在尽量降低数据的冲突概率的前提下实现了认知用户吞吐量与感知周期的均衡。通过蒙特卡洛仿真验证了相应的优化设计。 There are inevitable data collisions between the primary and cognitive users. There is a trade-off between the sensing period and the system throughput. This paper models the data collision based on the exponential on/off data traffic model and the periodic frame structure of the cognitive radios. The sensing period is optimized and the trade-off between the throughput and the sensing period is achieved with a low probability of the data collision. The results are validated by Monte Carlo simulations.
出处 《南京邮电大学学报(自然科学版)》 北大核心 2012年第3期1-4,共4页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金 国家重点基础研究发展计划(973计划)(2007CB310607) 国家科技重大专项(2009ZX03003-002 2009ZX03007-003)资助项目
关键词 认知无线电 帧结构 数据冲突 吞吐量 感知周期 cognitive radios frame structure data collisions throughput sensing period
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参考文献10

  • 1YUCEK T, ARSLAN H. A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications [ J ]. IEEE Communications Surveys & Tutorials ,2009,11 ( 1 ) : 116 - 130. 被引量:1
  • 2CAPAR F, MARTOYO I, WEISS T, et al. Comparison of bandwidth utilization for controlled and uncontrolled channel assignment in a spectrum pooling system [ C ] //IEEE 55th Vehicular Technology Conference. 2002,3 : 1069 - 1073. 被引量:1
  • 3TANDRA R, SAHAI A. Fundamental limits on detection in low SNR under noise uncertainty [ C ]// International Conference on Wireless Networks, Communications and Mobile Computing. 2005:464 - 469. 被引量:1
  • 4GHASEMI A, SOUSA E S. Optimization of spectrum sensing for op- portunistic spectrum access in cognitive radio networks [ C ]// Proc 4th IEEE Consumer Communication Networking Conference (CC- NC). 2007:1022 - 1026. 被引量:1
  • 5LIANG Y C ,ZENG Y H, PEH E, et al. Sensing-throughput tradeoff for cognitive radio networks[ C ]//Proc of IEEE ICC' 2007. 2007 : 5330 - 5335. 被引量:1
  • 6LIANG Y C, ZENG Y H, PEH E, et al. Sensing-Throughput Tradeoff for Cognitive Radio Networks [ J ]. IEEE Transactions on Wireless Communications .2008,7 C4 ) : 1326 - 1337. 被引量:1
  • 7TANG L,CHEN Y,HINES E L,et al. Effect of Primary User Traffic on Sensing-Throughput Tradeoff for Cognitive Radios [ J ]. IEEE Transactions on Wireless Communications, 2011, 10 (4): 1063 - 1068. 被引量:1
  • 8PEI Y Y, HOANG A T, LIANG Y C. Sensing-Throughput Tradeoff in Cognitive Radio Networks:How Frequently Should Spectrum Sensing be Carried Out? [ C] //IEEE 18th International Symposium on Per- sonal, Indoor and Mobile Radio Communication. 2007:1 -5. 被引量:1
  • 9XUE Dongyue, WANG Xinbing, HOSSAIN E. Optimization of Peri- odic Channel Sensing by Secondary Users in a Cognitive Radio Net- work [ C ] // IEEE Global Telecommunications Conference ( GLOBE- COM).2010:1 -5. 被引量:1
  • 10GEIRHOFE S, TONG L, SADLER B M. Cognitive radios for dy- namic spectrum access-dynamic spectrum access in the time do- main : Modeling and exploiting white space [ J ]. IEEE Communica- tion Magazine ,2007,45 ( 5 ) :66 - 72. 被引量:1

同被引文献16

  • 1BYUU S S, BALASINGHAM I, LEE H N. An inventory model- based spectrum pooling for wireless service provider and unli- censed users [J]. Computer communications, 2013, 36 (10) : 1186-1192. 被引量:1
  • 2LIANG Y C, CHEN K C, LI G Y, et al. Cognitive radio net- working and communications: an overview [J]. IEEE transac- tions on vehicular technology, 2011, 60(7): 3386-3407. 被引量:1
  • 3GHOSH A, RATASUK R, MONDAL B, et al. LTE-advanced: next-generation wireless broadband technology [J]. IEEE wire- less communications, 2010, 17(3): 10-22. 被引量:1
  • 4SOHAIL A, AI-IMARI M, XIAO P, et al. Optimal power al- location for MIMO-OFDM based cognitive radio systems with arbitrary input distributions [C]// Proceedings of 2013 IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications. London : IEEE, 2013 : 1909-1913. 被引量:1
  • 5CHEN C H, WANG C L. Joint subcarrier and power alloca- tion in muhiuser OFDM-based cognitive radio systems [C]// Proceedings of 2010 IEEE International Conference on Com- munications. Cape Town: IEEE, 2010: 1-5. 被引量:1
  • 6YU W, KWON T, SHIN C. Joint scheduling and dynamic power spectrum optimization for wireless muhicell networks [C]// Proceeding of 2010 44th Annual Conference on Informa- tion Sciences and Systems. Princeton: IEEE, 2010: 1-6. 被引量:1
  • 7ADIAN M G, AGHAEINIA H. Optimal and sub-optimal re- source allocation in multiple-input muhiple-output-orthogonal frequency division multiplexing-based multi-relay cooperative cognitive radio networks [J]. IET communications, 2014, 8(5) : 646-657. 被引量:1
  • 8WANG S, HUANG F, YUAN M, et al. Resource allocation for muhiuser cognitive OFDM networks with proportional rate constraints [J]. International journal of communication sys- tems, 2012, 25(2): 254-269. 被引量:1
  • 9SHAHRAKI H S, MOHAMED-POUR K. Power allocation in multiple-input multiple-output orthogonal frequeney division multiplexing-based cognitive radio networks [J]. IET communi- cations, 2011, 5(3): 362-370. 被引量:1
  • 10张然然,刘元安,林晓峰,谢刚,刘罡.认知无线电下行链路中的OFDMA资源分配算法[J].电子学报,2010,38(3):632-637. 被引量:14

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