@inproceedings{605aec82a0c547868f31733d6ffd370e,
title = "An iterative power allocation scheme for improving energy efficiency in massively dense distributed antenna systems",
abstract = "The massively dense distributed antenna system (md-DAS) with virtual cells (VCs) has drawn increasing interests recently. In this paper, we develop an energy-efficiency-oriented coordinated power allocation (PA) scheme considering the inter-VC interference in a downlink md-DAS. The problem can be formulated as a complicated non-convex fractional programming problem. To make it tractable, we recast the problem into quasi-concave fractional programming sub-problems, by applying successive Taylor expansion. Then we transform these subproblems into the equivalent convex ones in a subtractive-form based on fractional programming method. An iterative energy-efficient coordinated PA algorithm is finally proposed. Simulation results illustrate that the proposed scheme can offer a significant performance improvement over the existing methods.",
keywords = "Coordinated power allocation (PA), Distributed antenna system (DAS), Energy-efficiency, Virtual cell (VC)",
author = "Jing Wang and Yanmin Wang and Wei Feng and Xin Su and Shidong Zhou",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 83rd IEEE Vehicular Technology Conference, VTC Spring 2016 ; Conference date: 15-05-2016 Through 18-05-2016",
year = "2016",
month = jul,
day = "5",
doi = "10.1109/VTCSpring.2016.7504132",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings",
address = "United States",
}
