@inproceedings{3e8f4dc4f76c45f1a8faac13998da47c,
title = "Balancing energy efficiency and user rate fairness in multicell networks",
abstract = "In this paper, we consider the balance between the energy efficiency (EE) and the short-term fairness among individual users in a muiticell MISO downlink. Firstly, the power consumption and sum proportional rate are utilized jointly to construct an objective function. Then a transmit beamformer optimization problem for the objective maximization subject to transmit power constraints is formulated and challenging. To tackle this intricate problem, it is transferred to an approximate convex problem. A central iterative algorithm is proposed that converge to a local optimum of the primal problem. Furthermore, to avoid the high computational burden, an alternative distributed algorithm is proposed inspired by the relation between the weighted mean square error and the user rate. The numerical results show that the two algorithms have the nearly-identical performance and achieve a good balance between EE and the rate fairness.",
keywords = "Balancing EE and user rate fairness, Beamforming, Distributed algorithms, Multicell network",
author = "Lei Li and Jianqiang Chen and Chengcai Li and Bin Li and Niwei Wang and Zesong Fei",
note = "Publisher Copyright: {\textcopyright} 2016 National Institute of Information and Communications Technology (NICT).; 19th International Symposium on Wireless Personal Multimedia Communications, WPMC 2016 ; Conference date: 14-11-2016 Through 16-11-2016",
year = "2016",
month = jul,
day = "2",
language = "English",
series = "International Symposium on Wireless Personal Multimedia Communications, WPMC",
publisher = "IEEE Computer Society",
pages = "136--141",
booktitle = "2016 19th International Symposium on Wireless Personal Multimedia Communications, WPMC 2016",
address = "United States",
}
