End-to-End Quality of Service-Based Admission Control via Virtual Sensor Nodes

2014 ◽  
pp. 27-30
Author(s):  
Carlos Abreu ◽  
P. M. Mendes
Keyword(s):  
Quality Of Service ◽  
Admission Control ◽  
Sensor Nodes ◽  
Virtual Sensor ◽  
End To End

End-to-end quality of service-based admission control using the fictitious network analysis

2010 ◽  
Vol 33 ◽  
pp. S157-S166 ◽  
Author(s):  
Pablo Belzarena ◽  
Paola Bermolen ◽  
Pedro Casas ◽  
Maria Simon
Keyword(s):  
Quality Of Service ◽  
Network Analysis ◽  
Admission Control ◽  
End To End

Routing and admission control with multiconstrained end-to-end quality of service in MPLS networks

2008 ◽  
Vol 31 (10) ◽  
pp. 1857-1864 ◽  
Author(s):  
Desire Oulai ◽  
Steven Chamberland ◽  
Samuel Pierre
Keyword(s):  
Quality Of Service ◽  
Admission Control ◽  
End To End

End-to-end quality of service constrained routing and admission control for MPLS networks

2009 ◽  
Vol 11 (3) ◽  
pp. 297-305
Author(s):  
Desire Oulai ◽  
Steven Chamberland ◽  
Samuel Pierre
Keyword(s):  
Quality Of Service ◽  
Admission Control ◽  
End To End

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.

End-to-end quality of service seen by applications: A statistical learning approach

2010 ◽  
Vol 54 (17) ◽  
pp. 3123-3143 ◽  
Author(s):  
Pablo Belzarena ◽  
Laura Aspirot
Keyword(s):  
Quality Of Service ◽  
Statistical Learning ◽  
Learning Approach ◽  
End To End
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