@inproceedings{c3d69c5e0d8547d0a9fa97cee3d9741d,
title = "An application of GA and EDA for passive in-building distributed antenna systems",
abstract = "The continuous growth in mobile data traffic has made it increasingly difficult to rely on outdoor base stations to support the traffic generated indoors. A passive in-building distributed antenna system (IB-DAS) provides indoor data coverage by connecting antennas to a base station through coaxial cables and passive components. This paper focuses on the automated design of IB-DAS based on the real-world requirements of a telecom service provider. Particularly, it presents a binary representation based solution to the vertical design of the DAS problem and presents initial results on the performance of 4 binary Evolutionary Algorithms (EAs). The aim is to incorporate better-performing algorithms into a DAS network planning tool, used by our industrial partner.",
keywords = "Distributed antenna system, EDA, Evolutionary algorithm, GA",
author = "Siddhartha Shakya and Kin Poon and Khawla Alshanqiti and Anis Ouali and Andrei Sleptchenko",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 Genetic and Evolutionary Computation Conference, GECCO 2020 ; Conference date: 08-07-2020 Through 12-07-2020",
year = "2020",
month = jul,
day = "8",
doi = "10.1145/3377929.3390000",
language = "British English",
series = "GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion",
pages = "287--288",
booktitle = "GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion",
}