Nguyen, K., Tervo, O., Vu, Q., Tran, L., Juntti, M. (2018) Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison. EURASIP Journal on Wireless Communications and Networking, 2018 (1), 207. doi:10.1186/s13638-018-1214-2
Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison
|Author:||Nguyen, Kien-Giang1; Tervo, Oskari1; Vu, Quang-Doanh1;|
1Centre for Wireless Communications, University of Oulu
2School of Electrical and Electronic Engineering, University College Dublin
|Online Access:||PDF Full Text (PDF, 1.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018103146911
|Publish Date:|| 2018-10-31
This paper focuses on energy-efficient coordinated multi-point (CoMP) downlink in multi-antenna multi-cell wireless communications systems. We provide an overview of transmit beamforming designs for various energy efficiency (EE) metrics including maximizing the overall network EE, sum weighted EE, and fairness EE. Generally, an EE optimization problem is a nonconvex program for which finding the globally optimal solutions requires high computational effort. Consequently, several low-complexity suboptimal approaches have been proposed. Here, we sum up the main concepts of the recently proposed algorithms based on the state-of-the-art successive convex approximation (SCA) framework. Moreover, we discuss the application to the newly posted EE problems including new EE metrics and power consumption models. Furthermore, distributed implementation developed based on alternating direction method of multipliers (ADMM) for the provided solutions is also discussed. For the sake of completeness, we provide numerical comparison of the SCA based approaches and the conventional solutions developed based on parametric transformations (PTs). We also demonstrate the differences and roles of different EE objectives and power consumption models.
EURASIP journal on wireless communications and networking
|Type of Publication:||
A2 Review article in a scientific journal
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
Energy efficiency, Generalized Dinkelbach’s algorithm, Successive convex approximation, Fractional programming, Power consumption, Coordinated beamforming
This work was supported in part by the projects “Wireless Connectivity for Internet of Everything - Energy Efficient Transceiver and System Design (WiConIE)” funded by the Academy of Finland under Grant 297803, “Flexible Uplink-Downlink Resource Management for Energy and Spectral Efficiency Enhancing in Future Wireless Networks (FURMESFuN)” funded by the Academy of Finland under Grant 310898, and “6Genesis Flagship” funded by the Academy of Finland under Grant 318927. This publication has also emanated from research supported in part by a Grant from Science Foundation Ireland under Grant number 17/CDA/4786. The work of K-GN was supported by HPY Research Foundation, Nokia Foundation, Walter Ahlström Foundation, Finnish Foundation for Technology Promotion, Tauno Tönning Foundation.
|Academy of Finland Grant Number:||
297803 (Academy of Finland Funding decision)
310898 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
© The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.