scholarly journals Call admission control scheme with normalized quality of service metric in IEEE 802.16 networks

2012 ◽  
pp. n/a-n/a
Author(s):  
Zhiwei Yan ◽  
Guizhong Liu ◽  
Rui Su
Keyword(s):  
Quality Of Service ◽  
Admission Control ◽  
Call Admission Control ◽  
Ieee 802.16 ◽  
Call Admission ◽  
Control Scheme ◽  
Admission Control Scheme

A dynamic joint scheduling and call admission control scheme for IEEE 802.16 networks

2011 ◽  
Vol 52 (1) ◽  
pp. 195-202 ◽  
Author(s):  
Mohammad Fathi ◽  
Samaneh Rashidi-Bajgan ◽  
Alireza Khalilzadeh ◽  
Hassan Taheri
Keyword(s):  
Admission Control ◽  
Call Admission Control ◽  
Ieee 802.16 ◽  
Call Admission ◽  
Control Scheme ◽  
Admission Control Scheme

scholarly journals A Hybrid Approach to Call Admission Control in 5G Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Mohammed Al-Maitah ◽  
Olena O. Semenova ◽  
Andriy O. Semenov ◽  
Pavel I. Kulakov ◽  
Volodymyr Yu. Kucheruk
Keyword(s):  
Artificial Intelligence ◽  
Quality Of Service ◽  
Admission Control ◽  
Mobile Communications ◽  
Communication Systems ◽  
Call Admission Control ◽  
Hybrid Approach ◽  
5G Networks ◽  
Call Admission

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.

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