A Power Efficient Pilot Design for Multi-cell Massive MIMO Systems

TY - CHAP

T1 - A Power Efficient Pilot Design for Multi-cell Massive MIMO Systems

AU - Le, Tuan Anh

AU - Chien, Trinh Van

AU - Nakhai, Mohammad Reza

PY - 2018/9/10

Y1 - 2018/9/10

N2 - In this paper, we address the pilot contamination problem in multi-cell Massive MIMO systems. Particularly, we pro- pose a pilot design scheme that simultaneously minimizes the channel estimation errors of all base stations (BSs) and the total pilot power consumption of all users subject to the trans- mit power constraint for every user in the network. We de- compose the proposed non-convex problem into distributed optimization problems to be solved at each BS, assuming the knowledge of pilot signals of the other BSs. Then, we in- troduce a successive optimization approach to cast each dis- tributed optimization problem into a convex linear matrix in- equality form. Simulation results confirm that the proposed approach significantly reduces pilot power while maintaining the same level of channel estimation error as a recent work in [1].

AB - In this paper, we address the pilot contamination problem in multi-cell Massive MIMO systems. Particularly, we pro- pose a pilot design scheme that simultaneously minimizes the channel estimation errors of all base stations (BSs) and the total pilot power consumption of all users subject to the trans- mit power constraint for every user in the network. We de- compose the proposed non-convex problem into distributed optimization problems to be solved at each BS, assuming the knowledge of pilot signals of the other BSs. Then, we in- troduce a successive optimization approach to cast each dis- tributed optimization problem into a convex linear matrix in- equality form. Simulation results confirm that the proposed approach significantly reduces pilot power while maintaining the same level of channel estimation error as a recent work in [1].

M3 - Conference paper

BT - IEEE Global Conference on Signal and Information Processing (GlobalSIP 2018)

PB - IEEE

ER -