Energy-Efficient Beam Coordination Strategies With Rate-Dependent Processing Power

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Title: Energy-Efficient Beam Coordination Strategies With Rate-Dependent Processing Power
Authors: Tervo, Oskari
Tolli, Antti
Juntti, Markku
Tran, Le-Nam
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Date: 15-Nov-2017
Online since: 2019-05-07T14:29:48Z
Abstract: This paper proposes energy-efficient coordinated beamforming strategies for multicell multiuser multiple-input single-output system. We consider a practical power consumption model, where part of the consumed power depends on the base station or user specific data rates due to coding, decoding, and backhaul. This is different from the existing approaches where the base station power consumption has been assumed to be a convex or linear function of the transmit powers. Two optimization criteria are considered, namely network energy efficiency maximization and weighted sum energy efficiency maximization. We develop successive convex approximation-based algorithms to tackle these difficult nonconvex problems. We further propose decentralized implementations for the considered problems, in which base stations perform parallel and distributed computation based on local channel state information and limited backhaul information exchange. The decentralized approaches admit closed-form solutions and can be implemented without invoking a generic external convex solver. We also show an example of the pilot contamination effect on the energy efficiency using a heuristic pilot allocation strategy. The numerical results are provided to demonstrate that the rate dependent power consumption has a large impact on the system energy efficiency, and, thus, has to be taken into account when devising energy-efficient transmission strategies. The significant gains of the proposed algorithms over the conventional low-complexity beamforming algorithms are also illustrated.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Transactions on Signal Processing
Volume: 65
Issue: 22
Start page: 6097
End page: 6112
Copyright (published version): 2017 IEEE
Keywords: Coordinated beamformingCentralized algorithmsDecentralized algorithmsEnergy efficiencySuccessive convex approximationFractional programmingPilot contaminationCircuit powerProcessing power
DOI: 10.1109/tsp.2017.2728501
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection

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