Distributed Power Control in Downlink Cellular Massive MIMO Systems

Conference: WSA 2018 - 22nd International ITG Workshop on Smart Antennas
03/14/2018 - 03/16/2018 at Bochum, Deutschland

Proceedings: ITG-Fb. 276: WSA 2018

Pages: 7Language: englishTyp: PDF

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Chien, Trinh Van; Bjoernson, Emil; Larsson, Erik G. (Department of Electrical Engineering (ISY), Linköping University, SE-581 83 Linköping, Sweden)
Le, Tuan Anh (Department of Design Engineering & Maths, Middlesex University London, United Kingdom)

This paper compares centralized and distributed methods to solve the power minimization problem with qualityof- service (QoS) constraints in the downlink (DL) of multicell 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.