Low Complexity Energy Optimization Algorithm for Massive MIMO systems

We consider the problem of nearly optimal energy efficiency in massive(Multiinput Multi-output) MIMO systems. Considering the correlated channel in practice, we derive the ergodic expression with zero-forcing precoding and analyze the simplified antennas selection method. Aiming at optimizing the en...

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Bibliographic Details
Published inChina communications Vol. 12; no. S1; pp. 74 - 82
Main Authors Yuan, Jingya, Li, Xiaohui, Hei, Yongqiang, Fu, Weihong
Format Journal Article
LanguageEnglish
Published China Institute of Communications 01.12.2015
Subjects
Algorithm design and analysis
antenna number optimization
Complexity theory
efficiency;ergodic
energy
Energy efficiency
ergodic expression
expression;fraction
fraction program
MIMO
number
Optimization
optimization;antenna
power optimization
program;power
Transmitting antennas
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Summary:We consider the problem of nearly optimal energy efficiency in massive(Multiinput Multi-output) MIMO systems. Considering the correlated channel in practice, we derive the ergodic expression with zero-forcing precoding and analyze the simplified antennas selection method. Aiming at optimizing the energy efficiency, the closed form expressions of the nearly optimal number of transmit antennas and transmit power are given under the circuit consumption model. The joint solution of the number of transmit antennas and transmit power was replaced to only solve transmit power. Based on the expression only related with transmit power, we give an energy efficiency optimization algorithm. The simulation results show that the proposed algorithm can achieve nearly optimal energy efficiency with fast convergence speed.
Bibliography:YUAN Jingya;LI Xiaohui;HEI Yongqiang;FU Weihong;State Key Laboratory of Integrated Service Networks, Xidian University
11-5439/TN
ISSN:1673-5447
DOI:10.1109/CC.2015.7386173