通信学报 ›› 2017, Vol. 38 ›› Issue (5): 145-156.doi: 10.11959/j.issn.1000-436x.2017108

• 学术论文 • 上一篇    下一篇

认知中继网络中基于能效的协作传输技术研究

冯立1,2(),邝育军1,吴斌伟1,付新川1   

  1. 1 电子科技大学通信与信息工程学院,四川 成都 611731
    2 四川广播电视大学工程技术学院,四川 成都 610073
  • 修回日期:2017-01-24 出版日期:2017-05-01 发布日期:2017-05-28
  • 作者简介:冯立(1981-),男,四川内江人,电子科技大学博士生,主要研究方向为认知无线电技术、协作通信、网络资源分配与优化、绿色通信等。|邝育军(1971-),男,四川广汉人,电子科技大学教授、博士生导师,主要研究方向为认知无线电、MIMO 无线通信、网络资源分配与优化、现代通信中的智能信号与信息处理、网络理论及其应用等。|吴斌伟(1991-),男,江苏无锡人,电子科技大学博士生,主要研究方向为协作通信、网络性能分析、网络资源分配与优化等。|付新川(1987-),男,四川成都人,电子科技大学博士生,主要研究方向为网络资源分配与优化、机器学习等。
  • 基金资助:
    国家高技术研究发展计划(“863”计划)基金资助项目(2014AA01A703);国家自然科学基金资助项目(61471089);国家自然科学基金资助项目(61201129);华为公司基金资助项目(YB2014110120);四川省教育厅科研基金资助项目(16ZB0504);四川广播电视大学教学改革基金资助项目(XMGCJS2016001Q)

Energy-efficient cooperative sensing and transmission in relay-assisted cognitive radio network

Li FENG1,2(),Yu-jun KUANG1,Bin-wei WU1,Xin-chuan FU1   

  1. 1 School of Communication and Information Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
    2 Engineering and Technology College,Sichuan Radio and TV University,Chengdu 610073,China
  • Revised:2017-01-24 Online:2017-05-01 Published:2017-05-28
  • Supported by:
    The National High Technology Research and Development Program of China (863 Program)(2014AA01A703);The National Natural Science Foundation of China(61471089);The National Natural Science Foundation of China(61201129);The Fund of Huawei Corporation(YB2014110120);Research Project of Sichuan Province Education Department(16ZB0504);Education and Teaching Reform Project of Sichuan Radio and TV University(XMGCJS2016001Q)

摘要:

针对协作认知网络设计了一种高能效(energy efficiency)最佳中继协作传输方案(BCT)。基于BCT机制,考虑次级中断概率为约束条件,在衰落信道下建模了以感知时间与功率为优化变量的系统平均能效最大化问题。借助Jensen不等式,并将原问题分解成2个相对独立的子问题来分别求解感知时间与功率分配,提出了一种高效的交叉迭代算法得到系统次优解。理论分析与仿真结果表明,在系统服务质量要求较高的情况下,与非协作传输机制相比,BCT机制不仅能提升次级传输的能量效率,还可显著提高次级传输的可靠性。

关键词: 认知无线电, 协作感知, 中继传输, 能量效率, 资源分配

Abstract:

An innovative EE-oriented cooperative sensing and transmission scheme in relay-assisted cognitive radio networks,called energy-efficient best-relay cooperative transmission (BCT) was proposed.Based on the BCT scheme,mean energy efficiency (MEE) maximization problem with sensing duration and transmitting power as optimization variables was modeled for fading channels under constraint of minimal secondary outage probability.By virtue of Jensen’s inequality,the original optimization problem was decomposed into two relatively independent subproblems which solved sensing duration and power allocation respectively.And for the two subproblems,an efficient cross iteration based algorithm was proposed to obtain the suboptimal solutions.Both analytical and simulation results demonstrate that the proposals can achieve significantly higher EE while enhancing reliability of secondary transmission remarkably compared to non-cooperation single cognitive transmission schemesin high QoS requirement.

Key words: cognitive radio, cooperative sensing, relay transmission, energy efficiency, resource allocation

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