Automated decision technology for network design in cellular communication systems

Allen, Stuart Michael ORCID: https://orcid.org/0000-0003-1776-7489, Hurley, Stephen and Whitaker, Roger Marcus ORCID: https://orcid.org/0000-0002-8473-1913 2002. Automated decision technology for network design in cellular communication systems. Presented at: 35th Annual Hawaii International Conference on System Sciences, 7-10 January 2002. Proceedings of the 35th Hawaii International Conference on System Sciences - 2002. IEEE, pp. 1-8. 10.1109/HICSS.2002.994002

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Abstract

The location and configuration of transmission infrastructure for cellular communication networks is a complex engineering task involving many competing objectives. While minimising commitment to infrastructure and maintenance, the network needs to meet quality of service requirements based on signal quality, area coverage and call traffic capacity. In response to this, operators must make decisions over antennae type, power control, tilt and azimuth of equipment in addition to site location. In this overview paper, we describe the problem facing cellular providers using FD-TDMA technology and present an automated approach for managing the entire design process, taking into account the full complexity of the problem. Meta-heuristic optimization procedures are used to both select sites and configure equipment. This results in a deterministic process for designing networks which is not contingent on human experience or judgement.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Systems Immunity Research Institute (SIURI)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords:	Azimuth , Cellular networks , Communication networks , Communication system traffic , Communication system traffic control , Paper technology , Power control , Power engineering and energy , Process design , Quality of service
Publisher:	IEEE
ISBN:	0769514359
Related URLs:	Publisher
Last Modified:	03 Dec 2022 11:52
URI:	https://orca.cardiff.ac.uk/id/eprint/14703

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