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

Maximising spectrum efficiency for BFWA through automatic cell planning

Allen, Stuart Michael, Hurley, Stephen, Taplin, Richard Keith, Wade, Arthur Athelstan and Whitaker, Roger Marcus 2002. Maximising spectrum efficiency for BFWA through automatic cell planning. Presented at: Getting the Most Out of the Radio Spectrum, London, UK, 24-25 October 2002. IEE Two Day Conference. Getting the Most Out of the Radio Spectrum. IEE Digest , vol. 112. IEE, p. 10. 10.1049/ic:20020238

Full text not available from this repository.

Abstract

The paper describes a model and software tool for the automated design of broadband fixed wireless access (BFWA) networks. As well as describing the data requirements and functionality of the tool, the paper demonstrates how the use of automated cell planning tools produces networks that make more efficient use of the radio spectrum. Automated cell planning tools based on metaheuristic optimisation algorithms have been successfully implemented for mobile telephony networks (see Hurley, S., 2000; Vasquez, M. and Hao, J., 2000). However, these techniques cannot be directly applied to BFWA planning because of the fixed nature of the subscribers and the uncertainty of which potential subscribers will actually subscribe. Also, the availability of BFWA services is of far more importance to subscribers and requires a more detailed treatment. The optimisation tool employed, using modern metaheuristic techniques, produces close to optimal networks. The financial metrics employed lead to networks that not only provide high levels of coverage, but also are free of major traffic and interference problems. This work is part of the IST EMBRACE (efficient millimetre broadband radio access for convergence and evolution) project to investigate the design and implementation of low cost BFWA networks at 40 GHz.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Systems Immunity Research Institute (SIURI)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Publisher: IEE
Related URLs:
Last Modified: 04 Jun 2018 19:52
URI: http://orca.cf.ac.uk/id/eprint/14706

Citation Data

Cited 1 time in Google Scholar. View in Google Scholar

Actions (repository staff only)

Edit Item Edit Item