University of Oulu

K. G. Nguyen, L. N. Tran, O. Tervo, Q. D. Vu and M. Juntti, "Achieving Energy Efficiency Fairness in Multicell MISO Downlink," in IEEE Communications Letters, vol. 19, no. 8, pp. 1426-1429, Aug. 2015. doi: 10.1109/LCOMM.2015.2436382

Achieving energy efficiency fairness in multicell MISO downlink

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Author: Nguyen, Kien-Giang1; Tran, Le-Nam2; Tervo, Oskari1;
Organizations: 1Department of Communications Engineering and Centre for Wireless Communications, University of Oulu, FI-90014, Finland
2Department of Electronic Engineering, Maynooth University, Ireland
3School of Electronics and Information, Kyung Hee University, Yongin 449-701, South Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2015
Publish Date: 2018-06-27


We investigate the fairness of achievable energy efficiency in a multicell multiuser multiple-input single-output (MISO) downlink system, where a beamforming scheme is designed to maximize the minimum energy efficiency among all base stations. The resulting optimization problem is a nonconvex max-min fractional program, which is generally difficult to solve optimally. We propose an iterative beamformer design based on an inner approximation algorithm which aims at locating a Karush-Kuhn-Tucker solution to the nonconvex program. By novel transformations, we arrive at a convex problem at each iteration of the proposed algorithm, which is amendable for being approximated by a second order cone program. The numerical results demonstrate that the proposed algorithm outperforms the existing schemes in terms of the convergence rate and processing time.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Volume: 19
Issue: 8
DOI: 10.1109/LCOMM.2015.2436382
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Finnish Funding Agency for Innovation (Tekes) under the project “Cross-Layer Modeling and Design of Energy-Aware Cognitive Radio Networks (CREAM)” and the Academy of Finland under project “WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints”.
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