Dynamic Channel Allocation Using a Genetic Algorithm for a TDD Broadband Fixed Wireless Access Network

This paper investigates channel allocation methods for a Broadband Fixed Wireless Access (BFWA) network. The existing channel allocation methods are categorised in terms of a Channel Allocation Matrix. A novel Dynamic Channel Allocation (DCA) method using a Genetic Algorithm is evaluated and compared with two existing DCA methods namely the Least Interfered (LI) and Channel Segregation (CS). These three methods are chosen from the same category in the proposed Channel Allocation Matrix.

Provided by: University of California, Santa Cruz Topic: Networking Date Added: Jan 2012 Format: PDF

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