Titlebook: Call Admission Control in Mobile Cellular Networks; Sanchita Ghosh,Amit Konar Book 2013 Springer-Verlag Berlin Heidelberg 2013 Automatic C

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書目名稱Call Admission Control in Mobile Cellular Networks被引頻次學(xué)科排名




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種族被根除

An Overview of Computational Intelligence Algorithms,ins with a review of fuzzy sets and logic, and would gradually explore swarm and evolutionary algorithms, and neural nets. The coverage on swarm and evolutionary algorithms include Genetic Algorithm, Particle Swarm Optimization Bio-geography Based Optimization and Differential Evolution algorithm. S

做事過(guò)頭

Call Management in a Cellular Mobile Network Using Fuzzy Comparators,wever, in practice these two problems are not fully independent. This chapter attempts to solve the complete problem by employing a fuzzy comparator, which compares the membership of two fuzzy measurement variables to take decisions about call admission, satisfying the necessary constrains of channe

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鋼盔

Conclusions and Future Directions,vement of the mobile station, and thus in most circumstances the allocation is done in a relatively . manner. The problem becomes more prominent particularly, when the mobile station crosses cell boundaries. In the present scenario, the direction of motion of the mobile station is predicted, and con

Graduated

Graduated

https://doi.org/10.1007/978-94-017-8932-5upervised, unsupervised and reinforcement learning algorithms will be outlined under neural nets. The chapter ends with scope of applications of computational intelligence algorithms in call admission.

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perimenopause

https://doi.org/10.1007/978-94-017-8932-5cularly, when the mobile station crosses cell boundaries. In the present scenario, the direction of motion of the mobile station is predicted, and consequently the decisions about channel allocation for the new current call in progress can be taken up ahead of time.

輕快帶來(lái)危險(xiǎn)

Conclusions and Future Directions,cularly, when the mobile station crosses cell boundaries. In the present scenario, the direction of motion of the mobile station is predicted, and consequently the decisions about channel allocation for the new current call in progress can be taken up ahead of time.