计算机科学 ›› 2017, Vol. 44 ›› Issue (6): 108-113.doi: 10.11896/j.issn.1002-137X.2017.06.019

• 网络与通信 • 上一篇    下一篇

认知无线电中能效优化的子载波匹配策略

赵澄,郝茵茵,华惊宇,姚信威,王万良   

  1. 浙江工业大学计算机科学与技术学院 杭州310023,浙江工业大学信息工程学院 杭州310023,浙江工业大学信息工程学院 杭州310023,浙江工业大学计算机科学与技术学院 杭州310023,浙江工业大学计算机科学与技术学院 杭州310023
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受浙江省自然科学基金(LQ14F020005),国家自然科学基金(61379123,4),国家科技十二五支撑计划(2012BAD10B01),浙江省教育厅公益基金(Y201431815)资助

Subcarrier Pairing Strategy for Energy Efficiency Optimization in Cognitive Radio

ZHAO Cheng, HAO Yin-yin, HUA Jing-yu, YAO Xin-wei and WANG Wan-liang   

  • Online:2018-11-13 Published:2018-11-13

摘要: 针对协作认知无线电系统中的能量效率问题,提出一种以最大化能量效率为目标的资源联合分配算法。在满足服务质量要求和功率约束的情况下,首先通过一种能量效率优先的启发式方案对子载波进行匹配,再引入基于拉格朗日对偶算法对其中的功率分配问题进行非线性优化,从而最大限度地提高整个系统的能量效率。仿真实验结果表明,所提算法的能量效率得到显著提升,验证了所提方案的有效性。

关键词: 认知无线电,子载波匹配,功率分配,能量效率

Abstract: To improve the energy efficiency in cooperative cognitive radio system,a joint resource allocation algorithm was proposed.Firstly,a heuristic scheme with energy efficiency in priority is considered for subcarrier pairing,QoS and power constraint are satisfied.Then,the power allocation is optimized with the Lagrangian dual algorithm to maximize the system energy efficiency.Simulation results demonstrate a significant enhancement in the energy efficiency and the validity of the proposed algorithm.

Key words: Cognitive radio,Subcarrier pairing,Power allocation,Energy efficiency

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