Title :
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
fDate :
June 28 2015-July 1 2015
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;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
Conference_Location :
Stockholm
DOI :
10.1109/SPAWC.2015.7227032
