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Joint Optimization of Computation and Communication Power in Multi-User Massive MIMO Systems

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Original languageEnglish
JournalIEEE Transactions on Wireless Communications
Early online date3 Apr 2018
DOIs
Publication statusPublished - Jun 2018

Abstract

With the growing interest in the deployment of multi-user massive multiple-input-multiple output (MIMO) systems and millimeter wave technology for fifth generation (5G) wireless systems, the computation power to the total power consumption ratio is expected to increase rapidly due to high data traffic processing at the baseband unit. Therefore in this paper, a joint optimization problem of computation and communication power is formulated for multi-user massive MIMO systems with partially-connected structures of radio frequency (RF) transmission systems. To maximize the energy efficiency of multi-user massive MIMO systems, an upper bound on energy efficiency is derived as the optimization theory limit. Considering the constraints on partially-connected structures, a locally optimal solution consisting of baseband and RF precoding matrices is proposed to maximize the energy efficiency of multi-user massive MIMO systems. Furthermore, an oPtimal Hybrid precOding with computation and commuNication powEr (PHONE) algorithm is developed to realize the joint optimization of computation and communication power. Simulation results indicate that the proposed algorithm improves energy and cost efficiencies and the maximum power saving is achieved by
52.44% for multi-user massive MIMO systems with partially-connected structures.

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