University of Oulu

Kien-Giang Nguyen, ; Quang-Doanh Vu, ; Le-Nam Tran, ; Juntti, Markku: 'Energy-efficient methods for cloud radio access networks' (Telecommunications, 2020), 'Green Communications for Energy-Efficient Wireless Systems and Networks', Chap. 11, pp. 295-330, DOI: 10.1049/PBTE091E_ch11 IET Digital Library,

Energy-efficient methods for cloud radio access networks

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Author: Nguyen, Kien-Giang1,2; Vu, Quang-Doanh2; Tran, Le-Nam3;
Organizations: 1Nokia, Oulu, Finland
2Centre for Wireless Communications, University of Oulu, Oulu, Finland
3School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: The Institution of Engineering and Technology, 2021
Publish Date: 2021-10-18


Cloud radio access network (C-RAN) is an evolutionary radio network architecture in which a cloud-computing-based baseband (BB) signal-processing unit is shared among distributed low-cost wireless access points. This architecture offers a number of significant improvements over the traditional RANs, including better network scalability, spectral, and energy efficiency. As such C -RAN has been identified as one of the enabling technologies for the next-generation mobile networks. This chapter focuses on examining the energy-efficient transmission strategies of the C-RAN for cellular systems. In particular, we present optimization algorithms for the problem of transmit beamforming designs maximizing the network energy efficiency. In general, the energy efficiency maximization in C-RANs inherits the difficulty of resource allocation optimizations in interference-limited networks, i.e., it is an intractable non convex optimization problem. We first introduce a globally optimal method based on monotonic optimization (MO) to illustrate the optimal energy efficiency performance of the considered system. While the global optimization method requires extremely high computational effort and, thus, is not suitable for practical implementation, efficient optimization techniques achieving near -optimal performance are desirable in practice. To fulfill this gap, we present three low -complexity approaches based on the state-of-the-art local optimization framework, namely, successive convex approximation (SCA).

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ISBN: 978-1-83953-068-5
ISBN Print: 978-1-83953-067-8
Pages: 295 - 330
DOI: 10.1049/PBTE091E_ch11
Host publication: Green Communications for Energy-Efficient Wireless Systems and Networks
Host publication editor: Suraweera, Himal A.
Yang, Jing
Zappone, Alessio
Thompson, John S.
Type of Publication: A3 Book chapter
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © The Institution of Engineering and Technology 2021. Self-archived here with the kind permission of the publisher.