Journal of Computer Applications ›› 2014, Vol. 34 ›› Issue (7): 1969-1973.DOI: 10.11772/j.issn.1001-9081.2014.07.1969

• Network and communications • Previous Articles     Next Articles

Energy efficiency and time efficiency based joint optimization scheme for green communication

WU Pengyue1,2,JI Wei1,2   

  1. 1. College of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu 210003, China;
    2. Key Laboratory of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education, Nanjing Jiangsu 210003, China
  • Received:2014-01-10 Revised:2014-02-24 Online:2014-07-01 Published:2014-08-01
  • Contact: WU Pengyue

基于能量有效性和时间有效性的联合优化绿色通信算法

吴鹏悦1,2,季薇1,2   

  1. 1. 宽带无线通信与传感网技术教育部重点实验室(南京邮电大学),南京 210003
    2. 南京邮电大学 通信与信息工程学院,南京 210003
  • 通讯作者: 吴鹏悦
  • 作者简介:吴鹏悦(1986-),男,江苏泰兴人,硕士研究生,主要研究方向:协作通信、绿色通信;季薇(1979-),女,江苏淮安人,副教授,主要研究方向:通信信号处理、协作通信、认知无线通信。
  • 基金资助:

    江苏省“信息与通信工程”优势学科建设工程项目;南京邮电大学科研基金资助项目

Abstract:

Traditional power allocation schemes have ignored channel estimation errors and circuit energy consumption. To solve this problem, an improved green joint optimization scheme was proposed in this paper. On the premise of guaranteeing user's QoS (Quality of Service), energy efficiency and time efficiency for relay selection and each relay's power allocation were jointly optimized in the improved scheme, with taking channel estimation errors and relay circuit energy consumption into consideration. In the end, the closed solutions of transmit power of the source node and relay nodes were obtained. The simulation results show that the proposed scheme performs 30% better than traditional optimization scheme in energy efficiency with high SNR (Signal-to-Noise Ratio) and has a close performance with low SNR.

摘要:

针对传统协作功率分配方案中忽略信道估计误差和电路能量消耗的问题,提出了一种改进的绿色联合优化算法。该算法在保证用户服务质量要求的前提下,引入信道估计误差、中继节点的电路能耗,联合能量有效性和时间有效性进行中继节点选择和各个节点功率分配分配,并利用拉格朗日方法得到了源节点和中继节点发送功率的闭式解。仿真结果表明,相对于传统的功率分配算法,高信噪比时改进算法的能量有效性提高了30%左右,而低信噪比时性能接近传统算法。

CLC Number: