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基于训练的MU-MIMO系统能效优化方法研究

发表时间:2014-08-31  浏览量:1470  下载量:476
全部作者: 李士超,邱玲
作者单位: 中国科学技术大学信息科学技术学院
摘 要: 针对基于训练的多用户多输入多输出(multiuser multiple input multiple output,MU-MIMO)系统研究能量效率(energy efficiency,EE)优化方法,形成了能效优化的功率分配问题。针对发送端信道状态信息(channel state information at transmitter,CSIT)不可见的事实,提出一种两步优化方法,分别优化各态历经EE和瞬时EE. 在各态历经EE的优化中,根据已推导的各态历经可达速率的更紧致下界,将原问题转化为关于各态历经EE下界的优化问题,并证明其关于训练功率和数据功率是联合拟凹的,进一步提出一种交替优化求解算法。在瞬时EE的优化中,发送端采用基于各态历经EE优化得到的训练序列功率发送训练序列,接收端进行信道估计得到有误差的信道状态信息,并据此预测瞬时EE,进一步提出一种用于优化数据信号发送功率的瞬时EE优化算法。仿真结果表明,所提出的两步EE优化算法相比于只优化各态历经EE的算法和频效优化算法均能提高EE.
关 键 词: 信息科学与系统科学基础学科;通信与信息系统;多用户多输入多输出系统;优化;能量效率
Title: Energy efficiency optimization research for training-based MU-MIMO system
Author: LI Shichao, QIU Ling
Organization: School of Information Science and Technology, University of Science and Technology of China
Abstract: This paper studies energy efficiency (EE) optimization in training-based multiuser multiple input multiple output (MU-MIMO) system and formulates an energy-efficient power optimization problem. Considering the channel state information at transmitter (CSIT) unavailable fact, this paper proposes a two-step optimization scheme which consists of the ergodic EE and instant EE optimization. In the ergodic EE optimization, this paper transforms the original problem into the optimization of the ergodic EE’s lower bound based on a derived tighter lower bound of the achievable rate. It is proved that this problem is jointly quasi-concave with respect to training power and data power, and then an alternating optimization algorithm is further proposed to solve it. In the instant EE optimization, the transmitter transmits the training with the power obtained in the ergodic EE optimization, which is used for channel estimation and result in imperfect channel state information. This paper predicts the instant EE and further proposes an instant EE optimiztion algorithm to optimize the data power. Simulation results show that our proposed two-step EE optimization algorithm can improve EE compared to the spectral-efficient scheme and the one-step scheme only with the ergodic EE optimization.
Key words: basic subject of information science and system science; communication and information system; multiuser multiple input multiple output system; optimization; energy efficiency
发表期数: 2014年8月第16期
引用格式: 李士超,邱玲. 基于训练的MU-MIMO系统能效优化方法研究[J]. 中国科技论文在线精品论文,2014,7(16):1579-1586.
 
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