作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

认知无线网络非理想协作频谱感知节能策略

王晓东,陈长兴,任晓岳,林兴   

  1. (空军工程大学 理学院,西安 710043)
  • 收稿日期:2016-11-09 出版日期:2017-10-15 发布日期:2017-10-15
  • 作者简介:王晓东(1993—),男,硕士研究生,主研方向为认知无线电频谱感知与资源分配;陈长兴,教授、博士、博士生导师;任晓岳,博士研究生;林兴,硕士研究生。
  • 基金资助:
    陕西省自然科学基础研究计划项目(2014JM8344)。

Energy Efficient Strategy with Imperfect Collaborative Spectrum Sensing in Cognitive Wireless Network

WANG Xiaodong,CHEN Changxing,REN Xiaoyue,LIN Xing   

  1. (College of Science,Air Force Engineering University,Xi’an 710043,China)
  • Received:2016-11-09 Online:2017-10-15 Published:2017-10-15

摘要: 认知无线网络中非理想协作频谱感知的感知用户数或设备增多会导致系统能耗增大。针对该问题,建立系统优化模型,推导认知传输的感知时间及认知发射机传输功率与系统能效的关系。由于感知时间和传输功率的联合优化问题很难直接解决,因此将其分解为2个子问题分别求解,并基于此提出一种联合优化算法。仿真结果表明,该算法能有效提高认知无线网络中的能效,达到节能优化的目的。

关键词: 认知无线电, 节能, 认知传输, 联合优化, 频谱感知

Abstract: In view of the problem of increasing system energy consumption caused by the growth of sensing users or equipment amounts in imperfect cooperative spectrum sensing of cognitive wireless network,this paper sets up a system optimization model to deduce the relationship between the system energy efficiency and the sensing time as well as the Cognitive Transmitter(CT) power in cognitive transmission.Since the joint optimization problem of the sensing duration and the transmission power is hard to solve directly,it is decomposed into two sub-problems.Based on the analytical solvers of these two sub-problems,a joint optimization algorithm is proposed.The results of simulation verify that the proposed algorithm can raise the energy efficiency in cognitive wireless network and save the energy.

Key words: Cognitive Radio(CR), energy efficiency, cognitive transmission, joint optimization, spectrum sensing

中图分类号: