期刊文献+

认知无线网络中次用户的一种协作传输策略 被引量:7

A Cooperative Transmission Scheme of Secondary User in Cognitive Radio Networks
下载PDF
导出
摘要 在认知无线网络中同时存在着主用户和次用户,次用户的通信行为必须在不影响主用户数据传输的前提下进行。为了保证次用户的传输连续性并改善次用户Qos,研究人员提出了次用户间相互协作传输的策略,基于此该文提出了一种基于放大转发的双中继协作传输方案并对所提方案次用户的无冲突传输时间及误比特率进行了详细的理论分析。蒙特卡洛仿真结果表明,双中继协作传输策略能在单中继协作传输的基础上进一步增加次用户的无冲突传输时间并减小误比特率,双中继协作传输显著地提高了系统的传输性能。 Primary users and secondary users coexist in Cognitive Networks at the same time,so the transmission of Secondary Users must not interfere with the transmission of Primary user.The cooperative transmission of Secondary Users can improve the transmission performance of the Secondary Users,so that Cognitive Wireless Network can acquire space and time diversity gain.Before the researcher have proposed a single-relay cooperative transmission strategy.In order to further enhance the system performance of Cognitive Wireless Network.Two-relay collaborative transmission scheme based on amplify and forward is proposed.In this paper,Primary and Secondary Users coexist and Primary Users alternately transfer channel state between busy and leisure.When Primary Users exist,Secondary Users use the relay node to forward data by the chance,and we do the theoretical analysis of conflict-free transmission time and bit error rate of the scheme we propose.The analytical expression of Conflict-free transmission time and bit error rate in the single-relay cooperative transmission and dual-relay cooperative transmission mode are given.Theoretical analysis and simulation results show that,the dual-relay cooperative transmission strategy can further increase conflict-free transmission time and reduce the bit error rate than the single-relay cooperative transmission.Dual-relay cooperative transmission bring considerable performance gain for Cognitive Radio Networks.
出处 《信号处理》 CSCD 北大核心 2012年第10期1432-1438,共7页 Journal of Signal Processing
基金 国家自然科学基金项目(60972039) 江苏自然科学基金(BK2010077) 江苏省普通高校研究生科研创新计划(CXZZ11_0388)
关键词 认知无线电 协作通信 双中继 无冲突传输时间 等增益分集 Cognitive Radio(CR) Cooperative transmission Dual-relay Non-interference transmission durations Eq-ual gain diversity
  • 相关文献

参考文献10

  • 1Nosratinia A, Hunter T E, Hedayat A. Cooperative commu- nication in wireless networks [ J ]. IEEE Communications Magazine ,2004,42 (10) :68-73.
  • 2Laneman J N,Tse D N, Womell G W. Cooperative diversi- ty in wireless networks: efficient protocols and outage be- havior [ J ]. IEEE Trans. Inf. Theory,2004,50 ( 12 ) : 3062- 3079.
  • 3Lin Z, Erkip E, Stefanov A. Cooperative regions and part- ner choice in coded cooperative systems [ J ]. IEEE Trans actions on Communications,2006,54(7) :1323-1334.
  • 4Ibrahim A. S. , Sadek A. K. , Su W. and Liu K. J. R. , Co- operative communications with relay-selection:when to co- operate and whom to cooperate with [ J ]. IEEE Trans. Wireless Commun. ,2008,7(7) :2814-2827.
  • 5Zhang Qian,Jia Juncheng,and Zhang Jin. Cooperative re- lay to improve diversity in cognitive radio networks [ J ]. IEEE Communications Magazine, 2009,47 ( 2 ) : 111-117.
  • 6Zhou Xiangwei and Li Ye. Detection timing and channel selection for periodic spectrum sensing in cognitive radio [ C ]///Proc. of Globecom. New Orleans : IEEE ,2008.1-5.
  • 7褚御芝,郑宝玉.认知无线网络中一种基于放大转发的协作传输策略[J].电子与信息学报,2011,33(3):509-514. 被引量:4
  • 8Nosratinia A, Hunter T E, Hedayata. Cooperative commu- nication in wireless networks [ J ]. IEEE Communications Magazine ,2004,42(10) :68-73.
  • 9Yang Hongwei. A road to future broadband wireless ac- cess: MIMO-OFDM-Based air interface [ J ]. IEEE Com- mu. Mag,2005,43( 1 ) :53-60.
  • 10Sendonaris A. , Erkip E. , Aazhang B. User Cooperation Diversity-Part I and Part Ⅱ [ J ]. IEEE Transactions on Communications. 2003,51 ( 11 ) : 1927-1948.

二级参考文献15

  • 1Mitola I J. Software radios: survey, critical evaluation and future directions[J]. IEEE Aerosp Electron Systems Magazine 1993, 8(4): 25-31.
  • 2Akyildiz I P, Lee W Y, Vuran M C, and Mohanty S. Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey[J]. Computer Networks, 2006, 50(13): 2127-2159.
  • 3Zheng Yong-hong, Liang Ying-Chang, Hoang Anh-tuan, and Zhang Rui. A review on spectrum sensing for cogrtitive radio: challenges and Solutions[J]. EURASIP Jonrrml oft Advances in Signal Processing. 2010, Article ID 381465. doi:10.1155/ 2010/381465.
  • 4Sendonaris A, Erkip E, and Aazhang B. User cooperation diversity part I: system description[J]. IEEE Transactions on Communications, 2003, 51(11): 1927-1938.
  • 5Laneman J N, Tse D N C, and Wornell G W. Cooperative diversity in wireless networks: Efficient protocols and outage behavior[J]. IEEE Transactions on Information Theory, 2004, 50(12): 3062-3080.
  • 6Duan Dong-liang, Yang Liu-qing, and Principe J C. Cooperative diversity of spectrum for cognitive radio systems[J]. IEEE Transactions on Siganal Processing, 2010,58(6): 3218-3227.
  • 7Bin Shen and Kyung Sup Kwak. Soft combination schemes for cooperative spectrum sensing in cognitive radio networks[J]. ETRI Journal, 2009, 31(3): 263-270.
  • 8Zhou Xiang-wei, Ma Jun, and Li Ye. Probability-based combination for cooperative spectrum sensing[J]. IEEE Transactions on Communication, 2010, 58(2): 463-466.
  • 9Zhang Qian, Jia Jun-cheng, and Zhang Jin. Cooperative relay to improve diversity in cognitive radio networks[J]. IEEE Communications Magazine, 2009, 47(2): 111-117.
  • 10Lien Shao Yu, Prasad N R, Chen Kwang Cheng, and Su Chih Wei. Providing statistical quality-of-service guarantees in cognitive radio networks with cooperative[C]. Cognitive Radio and Advanced Spectrum Management (CogART). Aalborg 2009: 6-11.

共引文献3

同被引文献64

  • 1van der Meulen E. C., Three terminal communication channels, Advanced Applied Probability, Sept. 1971, 3(5) :120-154.
  • 2Thomas M. Cover and El Gamal A. A., Capacity theorems for the relay channel, IEEE Trans. on Inf. Theory, Sept. 1979,25 (5) : 572-584.
  • 3Host-Madsen A. and Zhang J. , Capacity bounds and pow- er allocation for wireless relay channels, IEEE Trans. on Inf. Theory, June. 2005,51(6) : 2020-2040.
  • 4Bolcskei H. , Nabar R. U. , Oyman O. , et al. Capacity scal- ing laws in MIMO relay networks. IEEE Trans. on Wire- less Comm. , June. 2006,5(6) : 1433-1442.
  • 5Li, Q. , Zhang, Q. et al. ; Optimal Relay Selection and Beamforming in MIMO Cognitive Multi-Relay Networks, IEEE Communications Letters., vol. PP,no. 99, 2013, pp. 1-4.
  • 6Peng M., Liang D., Wei Y. , et al. , Serf-configuration and self-optimization in LTE-advanced heterogeneous networks, IEEE Communications Magazine, 2013, 51 (5) : 36- 45.
  • 7Edelman A. , Eigenvalues and condition numbers of ran- dom matrices, Ph. D. dissertation, Massachusetts Insti- tute of Technology, May. 1989.
  • 8骆丽娜,马华山,杨万全.一种软件无线电中的中频高速数据采集系统的实现[J].四川大学学报(自然科学版),2007,44(5):1033-1036. 被引量:2
  • 9Wan P J,Huang S C H,Wang L,et al.Minimum-latency aggregation scheduling in multihop wireless networks.Proceedings of the Tenth ACM International Symposium on Mobile Ad Hoc Networking and Computing,Philadelphia,PA,USA,2009:185-194.
  • 10Fu L,Liew S C,Huang J.Effective carrier sensing in CSMA networks under cumulative interference.IEEE Transactions on Mobile Computing,2013,12(4):748-760.

引证文献7

二级引证文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部