Increasing quality of service using swarm intelligence technique through bandwidth reservation scheme in 4G mobile communication Systems

2011 ◽  
Author(s):  
K.S.S. Reddy ◽  
S. Varadarajan
Keyword(s):  
Quality Of Service ◽  
Swarm Intelligence ◽  
Mobile Communication ◽  
Communication Systems ◽  
Bandwidth Reservation ◽  
Mobile Communication Systems ◽  
4G Mobile Communication ◽  
Intelligence Technique

Advances in QoS/E Characterization and Prediction for Next Generation Mobile Communication Systems

Fuzzy Systems ◽  
2017 ◽  
pp. 1739-1765
Author(s):  
Charalampos N. Pitas ◽  
Apostolos G. Fertis ◽  
Dimitris E. Charilas ◽  
Athanasios D. Panagopoulos
Keyword(s):  
Quality Of Service ◽  
Communication Networks ◽  
Mobile Communication ◽  
Communication Systems ◽  
Quality Of Experience ◽  
Mobile Network ◽  
Mobile Users ◽  
Radio Access ◽  
Network Status

The scope of this work is to present a holistic approach in quality of service (QoS) and quality of experience (QoE) characterization and prediction in modern mobile communication networks. Analytically, multi radio access technologies have been deployed in order to deliver mobile services to quality demanded consumers. Quality of Experience (QoE) parameters describe the End-to-End (E2E) quality as experienced by the mobile users. These parameters are difficult to be measured and quantified. System Quality of Service (SQoS) parameters are metrics that are closely related to the network status, and defined from the viewpoint of the service provider rather than the service user. Moreover, E2E Service Quality of Service (ESQoS) parameters describe the QoS of the services and they are obtained directly from the QoE parameters by mapping them into parameters more relevant to network operators, service providers and mobile users. A useful technique for mobile network planning and optimization is to build reliable quality estimation models for mobile voice and video telephony service.

Advances in QoS/E Characterization and Prediction for Next Generation Mobile Communication Systems

2016 ◽  
pp. 512-535
Author(s):  
Charalampos N. Pitas ◽  
Apostolos G. Fertis ◽  
Dimitris E. Charilas ◽  
Athanasios D. Panagopoulos
Keyword(s):  
Quality Of Service ◽  
Communication Networks ◽  
Mobile Communication ◽  
Communication Systems ◽  
Quality Of Experience ◽  
Mobile Network ◽  
Mobile Users ◽  
Radio Access ◽  
Network Status

The scope of this work is to present a holistic approach in quality of service (QoS) and quality of experience (QoE) characterization and prediction in modern mobile communication networks. Analytically, multi radio access technologies have been deployed in order to deliver mobile services to quality demanded consumers. Quality of Experience (QoE) parameters describe the End-to-End (E2E) quality as experienced by the mobile users. These parameters are difficult to be measured and quantified. System Quality of Service (SQoS) parameters are metrics that are closely related to the network status, and defined from the viewpoint of the service provider rather than the service user. Moreover, E2E Service Quality of Service (ESQoS) parameters describe the QoS of the services and they are obtained directly from the QoE parameters by mapping them into parameters more relevant to network operators, service providers and mobile users. A useful technique for mobile network planning and optimization is to build reliable quality estimation models for mobile voice and video telephony service.

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