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

Li FENG; Yu-jun KUANG; Bin-wei WU; Xin-chuan FU

doi:10.11959/j.issn.1000-436x.2017108

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

Papers | 更新时间：2024-06-05

- Energy-efficient cooperative sensing and transmission in relay-assisted cognitive radio network
- Journal on Communications Vol. 38, Issue 5, Pages: 145-156(2017)
- 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：
- 基金信息：
  
  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)
- DOI：10.11959/j.issn.1000-436x.2017108
  CLC： TN92
- Online First：2017-05，
  
  Published：25 May 2017
- 稿件说明：
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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：

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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