A Distributed Dynamic Channel Allocation Scheme in Cellular Communication Networks

2009 ◽  
Vol 2 (1) ◽  
pp. 53-69
Author(s):  
Hussein Al-Bahadili ◽  
Arafat Abu Mallouh
Keyword(s):  
Communication Networks ◽  
Channel Allocation ◽  
Cellular Communication ◽  
Allocation Scheme ◽  
Dynamic Channel Allocation ◽  
Dynamic Channel

Dynamic Channel Allocation in Cellular Communication Networks

2009 ◽  
pp. 165-189
Author(s):  
Hussein Al-Bahadili ◽  
Arafat Abu Mallouh
Keyword(s):  
Communication Networks ◽  
Mobile Communication ◽  
Channel Allocation ◽  
Complete Solution ◽  
Cellular Communication ◽  
Distributed Artificial Intelligence ◽  
Communication Overhead ◽  
Dynamic Channel Allocation ◽  
Dynamic Channel ◽  
And Performance

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.

A Distributed Dynamic Channel Allocation Scheme in Cellular Communication Networks

2010 ◽  
pp. 1648-1660
Author(s):  
Hussein Al-Bahadili ◽  
Arafat Abu Mallouh
Keyword(s):  
Communication Networks ◽  
Mobile Communication ◽  
Channel Allocation ◽  
Complete Solution ◽  
Cellular Communication ◽  
Distributed Artificial Intelligence ◽  
Communication Overhead ◽  
Allocation Scheme ◽  
Dynamic Channel ◽  
And Performance

This article presents a description and performance evaluation of an efficient distributed dynamic channels allocation (DDCA) scheme, which can be used for channel allocation in cellular communication networks (CCNs), such as the global system for mobile communication (GSM). The scheme utilizes a well-known distributed artificial intelligence (DAI) algorithm, namely, the asynchronous weak-commitment (AWC) algorithm, in which a complete solution is established by extensive communication among a group of neighbouring 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 simulations.

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