A Hybrid Approach to Call Admission Control in 5G Networks

Autor: Mohammed Al-Maitah, Olena O. Semenova, Andriy O. Semenov, Pavel I. Kulakov, Volodymyr Yu. Kucheruk
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Advances in Fuzzy Systems, Vol 2018 (2018)
Druh dokumentu: article
ISSN: 1687-7101
1687-711X
DOI: 10.1155/2018/2535127
Popis: Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers of users and the quality of service satisfaction. Call admission control plays a significant role in providing the desired quality of service. An effective call admission control algorithm is needed for optimizing the cellular network system. Many call admission control schemes have been proposed. The paper proposes a methodology for developing a genetic neurofuzzy controller for call admission in 5G networks. Performance of the proposed admission control is evaluated through computer simulation.
Databáze: Directory of Open Access Journals
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