Chia, Y. S. and Siew, Z. W. and Aroland, McOnie Jilui Kiring and Yang, Soo Siang and Teo, Kenneth Tze Kin (2011) Adaptive hybrid channel assignment in wireless mobile network via genetic algorithm. In: 11th International Conference on Hybrid Intelligent Systems (HIS 2011), 5-8 December 2011, Melaka, Malaysia.
Full text not available from this repository.Abstract
In wireless mobile network, the challenge is to assign appropriate frequency spectrum channels to requested calls while maintaining a desirable level of electromagnetic compatibility (EMC) constraint. An effective channel assignment technique is important to improve the system capacity and to reduce the effect of the interference. Most of the existing channel assignment approaches are based on deterministic methods. In this paper, an adaptive hybrid channel assignment (HCA) technique based on genetic algorithm (GA) is proposed. The proposed GA based optimization in HCA scheme is capable to adapt the population size to the number of eligible channels for a particular cell upon new call arrivals in order to achieve faster convergence speed. Besides, the proposed approach can handle both the reassignment of existing calls as well as the allocation of channel to a new call in an adaptive process to maximize the utility of the limited frequency spectrum. The simulation for both uniform and nonuniform traffic distributions on a 49-cells network model show that the average new incoming call blocking or call dropping probability for the proposed hybrid channel optimization method is lower than the deterministic HCA methods.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Evolutionary optimization, Genetic algorithm, Hybrid channel assignment, Wireless mobile network |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Q Science > QA Mathematics |
| Department: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 16 Jul 2012 15:42 |
| Last Modified: | 08 Sep 2014 16:46 |
| URI: | https://eprints.ums.edu.my/id/eprint/4561 |
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