期刊文献+

基于空间位置的混合频谱共享系统功率分配研究 被引量:2

Power allocation of hybrid spectrum sharing based on the spatial location
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摘要 针对次用户空间位置分布的随机性,提出空域混合Overlay/Underlay频谱共享模型以提高无线频谱利用率。根据次用户在不同空间位置对主用户的干扰,在主用户干扰容限约束下推导出次用户工作于Overlay状态和Underlay状态的空间区域;以最大化系统容量为准则建立认知系统功率优化分配模型,推导出次用户的最优功率分配方案,进而得到认知系统可获得的最大容量;理论和仿真结果表明,基于空间位置的混合频谱共享系统可以获得比Overlay系统更高的容量。 Based on the random spatial location of the secondary user, a spatial hybrid spectrum sharing model which combines overlay with underlay was proposed to improve spectrum utilization, Considering the different location of sec- ondary user, the interference received by primary receiver was analyzed and the work regions of the overlay and underlay were deduced under the primary user average interference constraint. The power allocation model was built under the criterion of maximizing the system average (ergodic) capacity. Furthermore, the optimal power allocation scheme was deduced as well as the maximum achievable capacity of the spatial hybrid spectrum sharing system. Analysis and simula- tion results indicate the hybrid spectrum sharing system has higher capacity than single overlay system.
出处 《通信学报》 EI CSCD 北大核心 2014年第2期104-110,共7页 Journal on Communications
基金 国家重点基础研究发展计划("973"计划)基金资助项目(2013CB329005) 江苏"973"基金资助项目(BK2011027) 国家自然科学基金资助项目(61101104 61271237) 南京邮电大学基金资助项目(NY211055)~~
关键词 无线通信 频谱共享 认知无线电 功率分配 wireless communication spectrum sharing cognitive radio power allocation
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参考文献15

  • 1Federal Communications Commission, Spectrum Policy Task Force Report[S]. 2002. 2-135.
  • 2CABRIC D, DONNELL I D 0, CHEN M S W, et al. Spectrum sharing radios[J]. IEEE Circuits and Systems Mag, 2006, 6(2): 30-45.
  • 3MITOLA J, MAGUIRE G Q. Cognitive radios: making software radios more personal[J]. IEEE Personal Commun, 1999,6(4): 13-18.
  • 4HAYKIN S. Cognitive radio: brain-empowered wireless communications[J]. IEEE J Select Areas Commun, 2005, 23(2): 201-220.
  • 5SONG M, XIN C S, ZHAO Y X, et al. Dynamic spectrum access: from cognitive radio to network radio[J]. Wireless Communications, IEEE,2012,19(l): 23- 29.
  • 6ZHANG R, LIANG Y.C, CUI S G. Dynamic resousece alloceation in cognitive radio networks[J]. IEEE Signal Processing Magazine, 2010, 27(3): 102-114.
  • 7ZHAO Q, SADLER B M. A survey of dynamic spectrum access: signal processing, networking, and regulatory policy[J]. IEEE Signal Processing Magazine, 2007, 24(3): 79-89.
  • 8YUCEK T, ARSLAN H. A survey of spectrum sensing algorithms for cognitive radio applica-tions[J]. IEEE Commun Surveys & Tutorials,2009, 11(1): 116-130.
  • 9XIE R, YU F R, II H. Dynamic resource allocation for heterogeneous services in cognitive radio networks with imperfect channel sensing[J]. Vehicular Technology, IEEE Transactions, 2012, 61(2):770-780.
  • 10LIANG Y C, ZENG Y H, PEH E C Y, et al. Sensing-throughput tradeoff for cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2008, 7(4): 1326-1337.

二级参考文献11

  • 1Federal Communications Commission. Spectrum policy task force report. ET Docket No. 02-135, 2002, 11.
  • 2Cabric D, O'Donnell I D, Chen M S W, and Brodersen R W. Spectrum sharing radios[J]. IEEE Circuits and Systems Magazine, 2006, 6(2): 30-45.
  • 3Haykin S. Cognitive radio: brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
  • 4Zhao Q and Sadler B M. A survey of dynamic spectrum access: signal processing, networking, and regulatory policy[J]. IEEE Signal Processing Magazine, 2007, 24(3): 79-89.
  • 5Goldsmith A, Jafar S A, Maric I, and Srinivasa S. Breaking spectrmn gridlock with cognitive radios: an information theoretic perspective[J]. Proceedings of The IEEE, 2009, 97(5): 894-913.
  • 6Gastpar M. On capacity under receiver and spatial spectrum-sharing constraints[J]. IEEE Transactions on Information Theory, 2007, 53(2): 471-487.
  • 7Jafar S A and Srinivasa S. Fundamental limits of cognitive radio with distributed and dynamic spectral activity[J]. IEEE Journal on Selected Areas in Communications, 2007, 25(3): 529-537.
  • 8Ghasemi A and Sousa E S. Fundamental limits of spectrum-sharing in fading environments[J]. IEEE Transactions on Wireless Communications, 2007, 6(2): 649-658.
  • 9Ban T W, Choi W, Jung B C, and Sung D K. Multi-User diversity in a spectrum sharing system[J]. IEEE Transactions on Wireless Communications, 2009, 8(1): 102-106.
  • 10Khoshkholgh M C, Navaie K, and Yanikomeroglu H. On the impact of the primary network activity on the achievable capacity of spectrum sharing over fading channels[J]. IEEE Transactions on Wireless Communications, 2009, 8(4): 2100-2110.

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