Load-aware reconfiguration of LTE-antennas: dynamic cell-phone network adaptation using organic network control

  • The utilisation of cell phone networks increases continuously, especially driven by the introduction of new mobile services and smart phones. Network operators can follow two directions to deal with the problem: either install new hardware or increase the efficiency of the existing infrastructure. This paper presents a novel algorithm to improve the efficiency of current networks by allowing for a self-organised load-dependent reconfiguration of antennas. The algorithm is capable of identifying hotspot traffic, assigning this to a neighbouring cell, and learning the best strategy at runtime. This leads to a self-improving intelligent control mechanism. The simulation-based evaluation results demonstrate the potential benefit, while simultaneously keeping the hardware’s deterioration at a comparable level.

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Metadaten
Author:Sven TomfordeGND, Alexander Ostrovsky, Jörg HähnerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-478309
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/47830
ISBN:978-9-8975-8062-8OPAC
Parent Title (English):11th International Conference on Informatics in Control, Automation and Robotics (ICINCO), September 1-3, 2014, Vienna, Austria
Publisher:SciTePress
Place of publication:Setúbal
Editor:Joaquim Filipe, Oleg Gusikhin, Kurosh Madani, Jurek Sasiadek
Type:Conference Proceeding
Language:English
Year of first Publication:2014
Publishing Institution:Universität Augsburg
Release Date:2019/03/18
Issue:Volume 1
First Page:236
Last Page:243
DOI:https://doi.org/10.5220/0005045102360243
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Organic Computing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)

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