Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Automated hybrid cost-optimised network design

Allen, Stuart Michael ORCID: https://orcid.org/0000-0003-1776-7489, Hurley, Stephen, Ryan, Desmond M. and Taplin, Richard Keith 2006. Automated hybrid cost-optimised network design. Telektronikk 2.2006 (2) , pp. 58-70.

Full text not available from this repository.

Abstract

The design of wireless broadband networks is a complex optimisation problem that involves locating and configuring the network infrastructure in order to produce the best network performance. There are many constraints and objectives, which are often in direct competition. Network operators are obviously keen to reduce capital expenditure and operating costs, but at the same time need to ensure that the network covers enough potential subscribers, achieves the required quality of service and provides sufficient capacity. To accurately assess the technical and economic performance of the network requires detailed data concerning the demographics and propagation within the region. Due to the size and scope of the problem, it is hard for ad hoc or manual planning approaches to produce an optimal network design. This paper describes a mathematical model and automated software tool developed for planning hybrid wireless networks for broadband access. By making use of metaheuristic optimisation algorithms, the tool is able to produce high quality solutions in a reasonable time. The process is demonstrated using a case study based on planning a hybrid 40 GHz and WiMAX access network for Oslo using detailed demographic data. The benefits arising from a detailed planning model are illustrated by considering a WiMAX deployment in the city of Oxford in the UK for various degrees of data accuracy. This paper is based on work in the project BROADWAN, partly funded under the Information Society Technologies (IST) priority of the European Commission Sixth Framework Programme.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Systems Immunity Research Institute (SIURI)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Telenor
ISSN: 0085-7130
Related URLs:
Last Modified: 24 Oct 2022 10:35
URI: https://orca.cardiff.ac.uk/id/eprint/44964

Citation Data

Actions (repository staff only)

Edit Item Edit Item