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认知中继网络中基于能效的协作传输技术研究
Energy-efficient cooperative sensing and transmission in relay-assisted cognitive radio network
- 通信学报 2017年38卷第5期 页码：145-156
- 作者机构：
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
- 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。" ]
- 基金信息：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)
DOI：10.11959/j.issn.1000-436x.2017108
中图分类号： TN92-
网络出版日期：2017-05，
纸质出版日期：2017-05-25
- 稿件说明：
移动端阅览
冯立, 邝育军, 吴斌伟, 等. 认知中继网络中基于能效的协作传输技术研究[J]. 通信学报, 2017,38(5):145-156.
Li FENG, Yu-jun KUANG, Bin-wei WU, et al. Energy-efficient cooperative sensing and transmission in relay-assisted cognitive radio network[J]. Journal on communications, 2017, 38(5): 145-156.
冯立, 邝育军, 吴斌伟, 等. 认知中继网络中基于能效的协作传输技术研究[J]. 通信学报, 2017,38(5):145-156. DOI： 10.11959/j.issn.1000-436x.2017108.
Li FENG, Yu-jun KUANG, Bin-wei WU, et al. Energy-efficient cooperative sensing and transmission in relay-assisted cognitive radio network[J]. Journal on communications, 2017, 38(5): 145-156. DOI： 10.11959/j.issn.1000-436x.2017108.
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。
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.
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references
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