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能量效率优化的广义空域调制系统
引用本文:陈军,许小东,戴旭初. 能量效率优化的广义空域调制系统[J]. 信号处理, 2014, 30(11): 1407-1412
作者姓名:陈军  许小东  戴旭初
作者单位:中国科学技术大学电子工程与信息科学系
基金项目:国家自然科学基金(61271272);国家高技术发展研究计划
摘    要:
为了提高能源使用效率,能量效率(EE)是绿色无线通信研究的主要内容。为了有效提高多天线传输系统的能源使用效率,提出了一种基于能量效率优化的广义空域调制(GSM)系统(EE-GSM)。该系统基于最大化能量效率准则,考虑发射天线数较多的情况,首先利用天线选择算法(AS)确定最佳发射天线子集,然后计算适合广义空域调制系统的有效射频通道(RFC)数,从而实现全局能量效率优化设计。仿真结果和分析表明,与传统的AS-MIMO、GSM及SM系统相比,新系统能有效地提高能量效率,并且改善了系统的误码率和容量性能,同时系统最终所需的有效射频通道数一般为2,3或4个,符合绿色通信系统设计原则。 

关 键 词:广义空域调制   MIMO   天线选择   能量效率
收稿时间:2014-07-01

Energy Efficiency Optimization of Generalized Spatial Modulation System
CHEN Jun,XU Xiao-dong,DAI Xu-chu. Energy Efficiency Optimization of Generalized Spatial Modulation System[J]. Signal Processing(China), 2014, 30(11): 1407-1412
Authors:CHEN Jun  XU Xiao-dong  DAI Xu-chu
Affiliation:Department of Electronic Engineering and Information Science, USTC
Abstract:
In order to use energy effectively, energy efficiency (EE) has been one of the main topics of green wireless communication research. To improve the energy efficiency of multi-antenna system, a generalized spatial modulation system based on energy efficiency optimization was proposed, named as EE-GSM. The proposed system was based on maximizing energy efficiency criteria, considered the case of large number of transmit antennas, and can be implemented by two steps. Firstly, transmit antenna selection algorithm was used to decide the optimal transmit antennas subsets. Then, the selected transmit antennas subsets were used to calculate the most appropriate radio frequency chain (RFC) number for the generalized spatial modulation system. The simulation results and analysis demonstrate that the proposed scheme compared with the traditional AS-MIMO (antenna selection-multi-input and multi-output) system, GSM system and SM system not only can effectively improve overall system energy efficiency, but also can improve BER and sum-rate capacity performance of GSM system, while the final desired number of RF channels of the system is generally 2,3 or 4, which is consistent with the principles of green wireless communication. 
Keywords:generalized spatial modulation  MIMO  antenna selection  energy efficiency
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