中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (3): 10-17.doi: 10.1016/S1005-8885(14)60295-8

• Wireless • 上一篇    下一篇

Energy efficiency based multi-relay selection and power allocation in OFDM cooperation networks

王睿 纪红 李曦   

  1. Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2014-01-13 修回日期:2014-03-27 出版日期:2014-06-30 发布日期:2014-06-30
  • 通讯作者: 李曦 E-mail:lixi@bupt.edu.cn
  • 基金资助:

    This work was supported by the Hi-Tech Research and Development Program of China (2014AA01A705).

Energy efficiency based multi-relay selection and power allocation in OFDM cooperation networks

王睿 纪红 李曦   

  1. Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2014-01-13 Revised:2014-03-27 Online:2014-06-30 Published:2014-06-30
  • Contact: Xi LI E-mail:lixi@bupt.edu.cn
  • Supported by:

    This work was supported by the Hi-Tech Research and Development Program of China (2014AA01A705).

摘要:

随着绿色通信技术的发展,无线网络的能量效率也变得越来越重要。但是,在多中继系统中,相关的工作绝大部分是基于端到端的性能,而中继端的能量效率问题还没有得到足够的重视。在本文中,我们考虑在基于放大转发模式的正交频分复用多中继系统中,以节点的能量效率和剩余能量为参数,设计中继是否参与协作的判定标准;提出了基于能量效率的异步功率迭代方法,并证明了该方法中纳什均衡的存在性和收敛性。进一步的,提出了一种子载波配对,中继选择和能量分配的联合优化算法,并加入了遗传算法和迭代方法来进一步提高算法的收敛速度。仿真结果表明,使用该算法后,在最小数据传输速率的约束下,在中继端可以显著提高能量效率,降低功率消耗,增加节点生存时间。

关键词: EE, OFDM, Multi-relay selection, power allocation, subcarrier pairing

Abstract:

Getting along with the improvement of green communications, the energy efficiency (EE) of wireless network becomes more and more important. However, in multi-relay-assisted systems, the related work obviously depends on the end-to-end performance, whereas EE of relays has not attracted enough attention. The authors propose an orthogonal frequency division multiplexing (OFDM) multi-relay system based on amplify and forward (AF) mode. Taking incorporating EE and remaining energy as factor, decision criteria of attending cooperation is designed. The EE based asynchronous power iteration method is presented, and the existence and convergence of nash equilibrium (NE) is proven. Furthermore, a joint algorithm in subcarrier pairing, relay selection and power allocation is given. Genetic algorithm (GA) and iteration method are integrated to improve the convergence speed additionally. Simulation demonstrates the obvious improvement of EE, decrease of power consumption and increase of lifetime in relays of this algorithm with the constraint of minimum data transmission rate.

Key words:

EE, OFDM, Multi-relay selection, power allocation, subcarrier pairing