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Energy-Efficient Beam Coordination Strategies With Rate-Dependent Processing Power
Date Issued
2017-11-15
Date Available
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.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Infotech Oulu Doctoral Program
Academy of Finland under project Message and CSI Shar-ing for Cellular Interference Management with Backhaul Constraints (MESIC) belonging to the WiFIUS program with NSF
Irish Government
KAUTE Foundation
Oulu University Scholarship Foundation
Walter Ahlström Foundation
HPY Research Foundation
Finnish Foundation for Technology Promotion
Tauno Tönning Foundation
Nokia Foundation
Seppo Säynäjäkangas Science Foundation
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
Language
English
Status of Item
Peer reviewed
ISSN
1053-587X
This item is made available under a Creative Commons License
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