K. G. Nguyen, L. N. Tran, O. Tervo, Q. D. Vu and M. Juntti, "Achieving Energy Efficiency Fairness in Multicell MISO Downlink," in IEEE Communications Letters, vol. 19, no. 8, pp. 1426-1429, Aug. 2015. doi: 10.1109/LCOMM.2015.2436382
Achieving energy efficiency fairness in multicell MISO downlink
|Author:||Nguyen, Kien-Giang1; Tran, Le-Nam2; Tervo, Oskari1;|
1Department of Communications Engineering and Centre for Wireless Communications, University of Oulu, FI-90014, Finland
2Department of Electronic Engineering, Maynooth University, Ireland
3School of Electronics and Information, Kyung Hee University, Yongin 449-701, South Korea
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018062726506
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-06-27
We investigate the fairness of achievable energy efficiency in a multicell multiuser multiple-input single-output (MISO) downlink system, where a beamforming scheme is designed to maximize the minimum energy efficiency among all base stations. The resulting optimization problem is a nonconvex max-min fractional program, which is generally difficult to solve optimally. We propose an iterative beamformer design based on an inner approximation algorithm which aims at locating a Karush-Kuhn-Tucker solution to the nonconvex program. By novel transformations, we arrive at a convex problem at each iteration of the proposed algorithm, which is amendable for being approximated by a second order cone program. The numerical results demonstrate that the proposed algorithm outperforms the existing schemes in terms of the convergence rate and processing time.
IEEE communications letters
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the Finnish Funding Agency for Innovation (Tekes) under the project “Cross-Layer Modeling and Design of Energy-Aware Cognitive Radio Networks (CREAM)” and the Academy of Finland under project “WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints”.
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