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。
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.
出处
《计算机应用》
CSCD
北大核心
2014年第7期1969-1973,共5页
journal of Computer Applications
基金
江苏省"信息与通信工程"优势学科建设工程项目(YX002001)
南京邮电大学科研基金资助项目(NY212040)
关键词
绿色通信
协作通信
多目标优化
能量有效性
时间有效性
green communication
cooperative communication
multi-objective optimization
energy efficiency
time efficiency
