scholarly journals AN EFFICIENT COMBINED CALL ADMISSION CONTROL AND SCHEDULING ALGORITHM TO IMPROVE QUALITY OF SERVICE FOR MULTIMEDIA SERVICES OVER NEXT GENERATION WIRELESS NETWORKS

2015 ◽  
Vol 11 (2) ◽  
pp. 416-425 ◽  
Author(s):  
G. Nantha Kumar ◽  
A. Arokiasamy
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Admission Control ◽  
Call Admission Control ◽  
Scheduling Algorithm ◽  
Improve Quality ◽  
Next Generation ◽  
Multimedia Services ◽  
Call Admission

scholarly journals Dynamic Threshold-based Congestion Control in Wireless Multimedia Networks

2013 ◽  
Vol 2 (3) ◽  
pp. 200
Author(s):  
Cuthbert Abigaba Mirembe ◽  
Roselyn Nyongarwizi Akol ◽  
Julius Butime
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Admission Control ◽  
Communication Networks ◽  
Call Admission Control ◽  
Control Policy ◽  
Dynamic Threshold ◽  
Wireless Multimedia ◽  
Call Admission

The last few decades have seen a tremendous growth of wireless networks demands due to the need to meet different multimedia applications available over the network. The demand has resulted into greater competition for the scarce available network resources and has introduced congestion in such networks that adversely affect the quality of service requirements of the applications. Call admission control is a key element if provision of quality of service in wireless networks is to be guaranteed. In this paper, a call admission control policy for wireless communication networks based on the use of dynamic threshold-based channel allocation scheme is proposed. The scheme deals with two traffic classes; voice and data with two different but equal channel thresholds, one for each traffic type assumed. The effect of the control parameters on the quality of service parameters is illustrated and analyzed.

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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