A multi-agent approach for dynamic channel allocation

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Abstract

We propose a multi-agent approach for dynamic channel allocation (MA-DCA) in mobile cellular networks. Our approach assumes that each cell in a cellular network works as an agent that negotiates its bandwidth (channel) requirements with its neighbors to minimize its call drop probability. Using stochastic simulation, we compare our MA-DCA approach with simple fixed channel allocation (FCA) and dynamic channel borrowing approaches for different call arrival rates, cellular network sizes and number of available channels. The results of our experiments show that the proposed MA-DCA approach performs better than dynamic channel borrowing and FCA approaches.

Original languageEnglish (US)
Pages (from-to)325-337
Number of pages13
JournalInternational Transactions in Operational Research
Volume15
Issue number3
DOIs
Publication statusPublished - May 2008

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All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Management of Technology and Innovation

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