Distributed Power Control in Downlink Cellular Massive MIMO Systems
Information Theory
2018-02-21 v1 math.IT
Abstract
This paper compares centralized and distributed methods to solve the power minimization problem with quality-of-service (QoS) constraints in the downlink (DL) of multi-cell Massive multiple-input multiple-output (MIMO) systems. In particular, we study the computational complexity, number of parameters that need to be exchanged between base stations (BSs), and the convergence of iterative implementations. Although a distributed implementation based on dual decomposition (which only requires statistical channel knowledge at each BS) typically converges to the global optimum after a few iterations, many parameters need to be exchanged to reach convergence.
Keywords
Cite
@article{arxiv.1802.07065,
title = {Distributed Power Control in Downlink Cellular Massive MIMO Systems},
author = {Trinh Van Chien and Emil Björnson and Erik G. Larsson and Tuan Anh Le},
journal= {arXiv preprint arXiv:1802.07065},
year = {2018}
}
Comments
4 figures, 1 table. Accepted by IEEE WSA 2018