Fast and accurate estimation of ATM quality-of-service parameters with applications to call admission control

1998 ◽  
Vol 145 (3) ◽  
pp. 133 ◽  
Author(s):  
Z. Fan ◽  
P. Mars
Keyword(s):  
Quality Of Service ◽  
Admission Control ◽  
Call Admission Control ◽  
Accurate Estimation ◽  
Call Admission ◽  
Quality Of Service Parameters

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).

scholarly journals Quality of Service Aware Call Admission Control in Cell Based Multi-Service Photonic Network

2010 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
Marko Lacković
Keyword(s):  
Quality Of Service ◽  
Admission Control ◽  
Call Admission Control ◽  
Packet Switching ◽  
Cell Loss ◽  
Switching Network ◽  
Loss Ratio ◽  
Call Admission ◽  
Cell Loss Ratio

The article tackles the problem of quality of service assurance in photonic networks. The idea of multi-servicephotonic network model with the coexistence of optical circuit and packet switching mechanisms and cell communication is used as a basis for service differentiation in the optical domain. Cell loss ratio as a key performance indicator determines the required optical switching mechanism. Service provisioning is performed using call admission control mechanism with real-time cell loss ratio estimation procedure. Service blocking probability calculation utilizes discrete event simulation of service provision and teardown requests applied to core network topology from COST 266 project. Three simulation scenarios are included in the analysis – pure optical packet switching network, and coexistence of optical packet and circuit switching with and without possibility of communication redirection between the switching mechanisms. Simulation scenarios are additionally altered with the cell loss ratio constraint and number of delay lines.

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