K. G. Nguyen, L. N. Tran, Q. D. Vu and M. Juntti, "Distributed energy efficiency fairness optimization by ADMM in multicell MISO downlink," 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, 2016, pp. 1-6. doi: 10.1109/ICC.2016.7511266
Distributed energy efficiency fairness optimization by ADMM in multicell MISO downlink
|Author:||Nguyen, Kien-Giang1; Tran, Le-Nam2; Vu, Quang-Doanh1;|
1Centre for Wireless Communications, University of Oulu, P.O.Box 4500, FI-90014 University of Oulu, Finland
2Department of Electronic Engineering, Maynooth University, Maynooth, Co Kildare, Ireland
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018062826565
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-06-28
This paper studies the fairness of achievable energy efficiency (EE) in a multicell multiuser multiple-input single-output downlink. The objective is to maximize the minimum EE among all base stations (BSs) subject to per-BS power constraints. The resulting optimization problem is a max-min fractional program, and, thus, difficult to solve in general. Our goal is to develop a decentralized algorithm for the max-min EE problem which solves the problem locally. The idea behind the proposed method is to combine the framework of successive convex approximation (SCA) and alternative direction method of multipliers (ADMM). We transform the convex program obtained at each step of the SCA procedure into a form that lends itself to the ADMM. The resulting formulation is solved optimally by allowing the BSs to exchange the required information until the ADMM converges. In addition to further reduce the backhaul overhead, the proposed algorithm is modified to enhance the convergence speed. Numerical results are provided to demonstrate the effectiveness of the proposed algorithms.
IEEE International Conference on Communications
|Pages:||1 - 6|
2016 IEEE International Conference on Communications (ICC)
IEEE international conference on communications
|Type of Publication:||
A4 Article in conference proceedings
|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 project “Cross-Layer Modeling and Design of Energy-Aware Cognitive Radio Networks (CREAM) and in part by the Academy of Finland under project "Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints", both belonging to the WiFIUS program with NSF.
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