Energy-efficient transmission strategies for CoMP downlink—overview, extension, and numerical comparison

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.

Authors:
Nguyen Kien-Giang, Tervo Oskari, Vu Quang-Doanh, Tran Le-Nam, Juntti Markku

Publication type:
A2 Review article in a scientific journal

Place of publication:

Keywords:
Coordinated beamforming, Energy efficiency, Fractional programming, Generalized Dinkelbach’s algorithm, Power consumption, successive convex approximation

Published:
20 August 2018

Full citation:
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

DOI:
https://doi.org/10.1186/s13638-018-1214-2

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2018103146911