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Near optimal call admission control with genetic algorithm for multimedia services in wireless/mobile networks
Xiao Yang; Chen C.L.Philip; Wang Yan
2000-12-01
Source PublicationNational Aerospace and Electronics Conference, Proceedings of the IEEE
Volume1
Pages787-792
AbstractIn this paper, we treat a cell as a M/M/C/C queuing system with m class users. Semi-Markov Decision Process (SMDP) can be used to provide an optimal Call Admission Control (CAC). The optimization is in the sense of optimizing the channel utilization for service providers and satisfying the Quality of Service (QoS) requirements for service users, which are the upper bounds of handoff blocking probabilities. However, such method fails when the state space and the action space are too large. We apply genetic algorithm approach to address such problems where the SMDP approach fails. We code the call admission control decisions as binary strings, where the value of `1' in the position i of the string stands for the decision of accepting a call in class-i; whereas, the value of `0' in the position i of the string stands for the decision of rejecting a call in class-i. The resulting binary strings from the genetic algorithm are the near optimal CAC decisions. Simulation results from the genetic algorithm are compared with the optimal solution obtained from linear programming for SMDP. The results reveal that the genetic algorithm approximates the optimal solution very well.
URLView the original
Language英語
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Document TypeConference paper
专题University of Macau
AffiliationWright State University
推荐引用方式
GB/T 7714
Xiao Yang,Chen C.L.Philip,Wang Yan. Near optimal call admission control with genetic algorithm for multimedia services in wireless/mobile networks[C],2000:787-792.
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