Energy-Efficient Pilot and Data Power Allocation In Massive MIMO Communication Systems Based on MMSE Channel Estimation

Wei-Ping Zhu1, Ye Zhang1

  • 1Concordia University

Details

13:30 - 15:30 | Tue 22 Mar | Poster Area D | SPCOM-P1.9

Session: MIMO Techniques for Wireless Communications

Abstract

This paper addresses the pilot and data power allocation issue in time division duplexing (TDD) massive multi-user multiple-input multiple-output (MU-MIMO) systems. By using minimum mean square error (MMSE) channel estimation along with a maximum-ratio combining (MRC) detector for the uplink transmission and a maximum-ratio transmission (MRT) precoder for the downlink transmission, a novel pilot and data power allocation scheme is proposed to minimize the total uplink and downlink transmit power under per-user signal to interference-plus-noise ratio (SINR) and power consumption constraints. The main contribution of this paper lies in formulating the original energy efficient power allocation problem and converting such a complicated optimization problem to a geometric programming one. Computer simulation shows that the proposed scheme can save up to 78% of the total power as compared to the equal power allocation among all the mobile users.