Decentralized coordinated beamforming for weighted sum energy efficiency maximization in multi-cell MISO downlink

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Title: Decentralized coordinated beamforming for weighted sum energy efficiency maximization in multi-cell MISO downlink
Authors: Tervo, OskariTran, Le-NamJuntti, Markku
Permanent link: http://hdl.handle.net/10197/12188
Date: 16-Dec-2015
Online since: 2021-05-20T11:54:38Z
Abstract: We study energy-efficient decentralized coordinated beam-forming in multi-cell multiuser multiple-input single-output system. The problem of interest is to maximize the weighted sum energy efficiency subject to user-specific quality of service constraints. The original problem is iteratively approximated as a convex program according to successive convex approximation (SCA) principle. The convex problem at each iteration is then formulated as a general global consensus problem, which is solved via alternating direction method of multipliers (ADMM). This enables base stations to independently and in parallel optimize their beamformers relying only on local channel state information and limited backhaul information exchange. In addition to waiting for the ADMM to converge as conventionally when solving the approximate convex program, we propose a method where only one ADMM iteration is performed after each SCA update step. Numerical results illustrate the fast convergence of the proposed methods and show that performing only one ADMM iteration per each convex problem can significantly improve the convergence speed.
Funding Details: Science Foundation Ireland
Funding Details: Finnish Funding Agency for Technology and Innovation
Infotech Oulu Doctoral Program
HPY Research Foundation
Walter Ahlström Foundation
Tauno Tönning Foundation
KAUTE Foundation
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2015 IEEE
Keywords: Resource allocationOFDMA systemsMIMO
DOI: 10.1109/GlobalSIP.2015.7418426
Other versions: http://2015.ieeeglobalsip.org/
Language: en
Status of Item: Peer reviewed
Is part of: 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Conference Details: The 3rd IEEE Conference on Signal & Information Processing, Orlando, Florida, United States of America, 14-16 December 2015
ISBN: 9781479975914
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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