The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Dynamic Channel Allocation in Cellular Communication Networks
Abstract
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.
Related Content
|
Yair Wiseman.
© 2021.
11 pages.
|
|
Mário Pereira Véstias.
© 2021.
15 pages.
|
|
Mahfuzulhoq Chowdhury, Martin Maier.
© 2021.
15 pages.
|
|
Gen'ichi Yasuda.
© 2021.
12 pages.
|
|
Alba J. Jerónimo, María P. Barrera, Manuel F. Caro, Adán A. Gómez.
© 2021.
19 pages.
|
|
Gregor Donaj, Mirjam Sepesy Maučec.
© 2021.
14 pages.
|
|
Udit Singhania, B. K. Tripathy.
© 2021.
11 pages.
|
|
|