Optimising BFWA networks

Wade, Arthur Athelstan 2005. Optimising BFWA networks. PhD Thesis, Cardiff University.

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Abstract

Broadband Fixed Wireless Access (BFWA) networks are an attractive alternative to cable-based technologies, in offering low-cost, high-speed data services, telephony and video-on-demand to residential and business users. However, in order to compete successfully with available alternative telecommunications solutions, the planning and design of efficient networks is crucial. This thesis presents two tools that enable the planning and evaluation of BFWA networks. AgentOpt is a network design and optimisation tool. A detailed account of the novel scheme, using the principles of emergent, selforganising systems, which AgentOpt employs for finding profit-optimal networks is given. The use of two distinct types of agent entity allows the multi-objective profit/coverage nature of the network planning problem to be satisfied. AgentOpt networks are compared with designs produced by other methods to establish to what extent this decentralised agent approach can optimise BFWA networks. The Network Validation Tool (NVT) analyses the network designs produced by AgentOpt and other automatic cell planning tools (ACPs). This is achieved through simulating the subscription take-up of the potential users in the network. By repetition of this process, statistical data about the various design configurations of the network is produced. This allows a planning engineer to compare and contrast network solutions that may differ in design but perform similarly in terms of expected profit. In this work the NVT is used to formulate some general guidelines about the best-practice use of ACPs.

Item Type:	Thesis (PhD)
Status:	Unpublished
Schools:	Schools > Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ISBN:	9781303201592
Funders:	Radio Communications Research Unit at the Rutherford Appleton Laboratory
Date of First Compliant Deposit:	30 March 2016
Last Modified:	29 Jun 2023 15:39
URI:	https://orca.cardiff.ac.uk/id/eprint/55997

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