Dynamic Channel Allocation in Cellular Communication Networks

Dynamic Channel Allocation in Cellular Communication Networks

Hussein Al-Bahadili (The Arab Academy for Banking and Financial Services, Jordan) and Arafat Abu Mallouh (The Hashemite University, Jordan)
DOI: 10.4018/978-1-60566-616-7.ch012
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This chapter presents a description and performance evaluation of an efficient Distributed Artificial Intelligence (DAI) Dynamic Channels Allocation (DCA) scheme. Therefore, it is referred to as DAI-DCA scheme. It can be used for channel allocation in high traffic cellular communication networks (CCNs), such as the global system for mobile communication (GSM). The scheme utilizes a well-known DAI algorithm, namely, the asynchronous weak-commitment (AWC) algorithm, in which a complete solution is established by extensive communication among a group of neighboring collaborative cells forming a pattern, where each cell in the pattern uses a unique set of channels. To minimize communication overhead among cells, a token-based mechanism was introduced. The scheme achieved excellent average allocation efficiencies of over 85% for a number of realistic operation scenarios.

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