University of Oulu

K. G. Nguyen, Q. D. Vu, M. Juntti and L. N. Tran, "Distributed Solutions for Energy Efficiency Fairness in Multicell MISO Downlink," in IEEE Transactions on Wireless Communications, vol. 16, no. 9, pp. 6232-6247, Sept. 2017. doi: 10.1109/TWC.2017.2721369

Distributed solutions for energy efficiency fairness in multicell MISO downlink

Saved in:
Author: Nguyen, Kien-Giang1; Vu, Quang-Doanh1; Juntti, Markku1;
Organizations: 1Centre for Wireless Communications, University of Oulu, FI-90014 Oulu, Finland
2School of Electrical and Electronic Engineering, University College Dublin, Ireland
3Department of Electronic Engineering, Maynooth University, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-06-28


This paper aims at guaranteeing the achievable energy efficiency (EE) fairness in a multicell multiuser multiple-input single-output downlink system. The design objective is to maximize the minimum EE among all base stations (BSs) subject to per-BS power constraints. This results in a max-min fractional program and as such is difficult to solve in general. Our goal is to develop decentralized algorithms for the max-min EE problem based on combining the successive convex approximation (SCA) framework and the alternating direction method of multipliers (ADMMs). Specifically, leveraging the SCA principle, we iteratively approximate the nonconvex design problem by a sequence of convex programs for which two decentralized algorithms are then proposed. In the first approach, the convex program obtained at each step of the SCA procedure is solved optimally by allowing the BSs to exchange the required information until the ADMM converges. The convergence of the first method is analytically guaranteed but the amount of backhaul signaling can be noticeable in some realistic settings. To reduce the backhaul overhead, the second method performs an abstract version of the ADMM where only one variables update is carried out. Numerical results are provided to demonstrate the effectiveness of the two proposed decentralized algorithms.

see all

Series: IEEE transactions on wireless communications
ISSN: 1536-1276
ISSN-E: 1558-2248
ISSN-L: 1536-1276
Volume: 16
Issue: 9
Pages: 6232 - 6247
DOI: 10.1109/TWC.2017.2721369
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by the Academy of Finland under projects “WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints” and “Wireless Connectivity for Internet of Everything”. It has been co-funded by the Irish Government and the European Union under Ireland’s EU Structural and Investment Funds Programmes 2014- 2020 through the SFI Research Centres Programme under Grant 13/RC/2077.
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.