大规模MIMO系统中基于能效最大化的资源联合优化算法

doi:10.11959/j.issn.1000-0801.2017317

Abstract

Abstract:

For the massive multi-cell multi-input multiple-output (MIMO) communication uplink system with unknown channel status information,a resource allocation algorithm which jointly optimizes the pilot sequence length,pilot symbol power and data symbol power was proposed.With the maximum ratio combining (MRC) receiver,the influence of circuit power was considered,pilot contamination and the constraint of maximum transmission power,and a nonconvex function modeled with the goal of maximizing energy efficiency (EE) was established.Firstly,the fractional form was transformed into an equivalent subtractive form by using the properties of fractional programming and then decomposed into a series of DC problems,finally,by using an iterative optimization algorithm,the three variables were alternately adjusted with maximizing the energy efficiency.Simulation results show that with the increasing of the maximum symbol transmission power,the proposed scheme can still have the great EE performance for the massive MIMO systems.

Key words: massive MIMO, pilot sequence, resource allocation, joint optimize, DC problem

CLC Number:

TN911.22

Haiyan CAO,Ruirui FENG,Xin FANG,Xiumin WANG,Fangmin XU. A joint optimization algorithm based on energy efficiency maximization for massive MIMO systems[J]. Telecommunications Science, 2017, 33(12): 84-90.

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References 22

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参数	取值
功率放大效率因子η	0.3
BS端每根天线的传输链消耗功率P_tb/W	1
每个用户端传输链消耗功率P_tu/W	0.2
信道编码功率P_cod/W	1
信道解码功率P_dec/W	4
基站端计算效率F /(flops·W^-1)	10
其他特定消耗功率P_site/W	5
基站天线数M	50

A joint optimization algorithm based on energy efficiency maximization for massive MIMO systems

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