Global EE optimization of massive MIMO systems

Author

Wenjia Liu ; Zappone, Alessio ; Chenyang Yang ; Jorswieck, Eduard

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

fYear

2015

fDate

June 28 2015-July 1 2015

Firstpage

221

Lastpage

225

Abstract

In this paper, we propose a power control algorithm for uplink and downlink multi-cell massive MIMO systems, where channel estimation error, pilot contamination and correlated channels are taken into account. Moreover, a closed-form power control algorithm under the assumption of equal power allocation for multiple users is provided. The simulation results show that equal power allocation is near optimal to maximize global EE for the system with zero-forcing detection/precoding, and is near optimal for the system with large number of antennas and MRC/MRT.

Keywords

MIMO communication; channel estimation; energy conservation; optimisation; power control; precoding; telecommunication control; telecommunication links; telecommunication power management; MRC/MRT; channel estimation error; energy efficiency; global EE optimization; multicell massive MIMO systems; pilot contamination; power allocation; power control algorithm; zero-forcing detection; zero-forcing precoding; Channel estimation; Downlink; MIMO; Resource management; Signal processing algorithms; Signal to noise ratio; Uplink;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on

Conference_Location

Stockholm

Type

conf

DOI

10.1109/SPAWC.2015.7227032

Filename

7227032