Modeling dynamic channel allocation in multicellular communication networks

2001 ◽  
Vol 19 (11) ◽  
pp. 2233-2242 ◽  
Author(s):  
G. Boggia ◽  
P. Camarda
Keyword(s):  
Communication Networks ◽  
Channel Allocation ◽  
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.

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