Energy Efficiency Optimization for Dense Networks

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Title: Energy Efficiency Optimization for Dense Networks
Authors: Vu, Quang-DoanhJuntti, MarkkuHong, Een-KeeTran, Le-Nam
Permanent link: http://hdl.handle.net/10197/11905
Date: 1-Feb-2019
Online since: 2021-02-01T17:22:12Z
Abstract: Dense networks open opportunities to optimize the network performance particularly from an energy efficiency perspective, since the total power consumption is a great concern as the number of devices is very large. The goal of this chapter is to provide a set of optimization tools applied in designing energy efficiency transmission for dense networks. Specifically, this chapter includes two parts. The first part introduces optimization techniques that are useful for energy efficiency optimization including concave-convex fractional programming, nontractable fractional programming, the alternating direction method of multipliers for distributed implementation. The second part is to demonstrate how these methods can be applied to dense networks with shared spectrum and small-cell dense networks being the case studies.
Funding Details: Science Foundation Ireland
Type of material: Book Chapter
Publisher: Wiley
Copyright (published version): 2019 Wiley
Keywords: ADMMDense networksDinkelbach's methodsEnergy efficiency optimizationParameter-free equivalent transformationRadio access technologiesSuccess convex approximation
DOI: 10.1002/9781119473756.ch8
Language: en
Status of Item: Peer reviewed
Is part of: Duong, T.Q., Chu, X., Suraweera, H.A. (eds.). Ultra-dense Networks for 5G and Beyond
ISBN: 9781119473695
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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