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.

scholarly journals Fuzzy Logic Partition-Based Call Admission Control for Mobile WiMAX

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
D. S. Shu'aibu ◽  
S. K. Syed Yusof ◽  
N. Fisal ◽  
S. H. S. Ariffin ◽  
R. A. Rashid ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Quality Of Service ◽  
Wireless Network ◽  
Admission Control ◽  
Bandwidth Allocation ◽  
Call Admission Control ◽  
Mobile Wimax ◽  
Bit Rate ◽  
Call Admission

The unpredictable nature of the wireless network and exponential growth in traffics with different quality of service requirements has led hardware complexity to escalate. In order to effectively control and manage the network traffics, there is a need for intelligent call admission control (CAC) in admitting traffics into the wireless network that provides necessary quality of service. In this paper, we propose a fuzzy logic partition-based call admission control (FZ CAC). The scheme primarily partitions the total link bandwidth into three which corresponds to constant bit rate (CBR), variable bit rate (VBR) and handover (HO) services. The fuzzy logic admission control scheme was implemented in the HO portion to intelligently keep dropping probability as low as possible based on the available bandwidth. Simulation results showed that the proposed approach outperformed both partition-based CAC (PB CAC) and conventional bandwidth allocation CAC (CB CAC).

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