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Energy and spectral efficiency tradeoff with user association and power coordination in massive MIMO enabled HetNets

Research output: Contribution to journalLetter

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<mark>Journal publication date</mark>10/2016
<mark>Journal</mark>IEEE Communications Letters
Issue number10
Volume20
Number of pages4
Pages (from-to)2091-2094
Publication statusPublished
Early online date3/08/16
Original languageEnglish

Abstract

In this letter, we investigate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) while ensuring proportional rate fairness in massive multiple-input multiple-output enabled heterogenous networks, where user association and power coordination are jointly considered. It is first formulated as a multi-objective optimization problem, and then transformed into a single-objective optimization problem. To solve this mixed-integer non-convex problem, an effective algorithm is developed, where the original problem is separated into lower level power coordination problem and master user association problem. Simulation results verify that our proposed algorithm can significantly improve the performance of EE-SE tradeoff and obtain higher rate fairness compared with other algorithms.

Bibliographic note

©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.