Optimisation of BFWA networks using emergent intelligence

This paper presents a detailed account of a novel scheme for finding profit optimal BFWA networks, extending an existing network optimisation tool, and using the principles of emergent, self-organising systems. We describe how populations of agents representing potential users and base sites will disseminate and react to `local' information to optimise global objectives. The use of two distinct types of agent entity allows the multiobjective profit/coverage nature of the optimisation to be satisfied. Preliminary results are presented to indicate the potential of the scheme.

• Type: Conference
• Year: 2004
• Where: CIIT
• Authors: Archie A. Wade, Steve Hurley, Stuart M. Allen, Richard K. Taplin, Ken Craig
• Keywords: CIIT 2004, CIIT 2007, Multiobjective Profit/coverage Nature, Network Optimisation Tool, Profit Optimal Bfwa