Quality of Service and Quality of Experience in Broadcasting

Video streaming is expected to acquire a massive share of the global internet traffic in the near future. Meanwhile, it is expected that most of the global traffic will be carried over wireless networks. This trend translates into considerable challenges for Service Providers (SP) in terms of maintaining consumers' Quality of Experience (QoE), energy consumption, utilisation of wireless resources, and profitability. However, the majority of Radio Resource Allocation (RRA) algorithms only consider enhancing Quality of Service (QoS) and network parameters. Since this approach may end up with unsatisfied customers in the future, it is essential to develop innovative RRA algorithms that adopt a user-centric approach based on users' QoE. This chapter focus on wireless video over Critical communication systems that are inspired by QoE perceived by end users. This chapter presents a background to introduce the reader to this area, followed by a review of the related up-to-date literature.

Download Full-text

A Generic Adaptation Framework for Mobile Communication

International Journal of Adaptive Resilient and Autonomic Systems ◽

10.4018/jaras.2011010103 ◽

2011 ◽

Vol 2 (1) ◽

pp. 46-57

Author(s):

Hong Sun ◽

Ning Gui ◽

Chris Blondia

Keyword(s):

Quality Of Service ◽

Mobile Devices ◽

Mobile Communication ◽

Quality Of Experience ◽

Adaptation Strategies ◽

Easy Access ◽

Mobile Terminals ◽

System Resources ◽

New Applications

Today, technologies are providing mobile terminals with much more powerful computational abilities. Such improvement has made it possible to run many complex applications on mobile devices. However, many of these new applications are also resource demanding. Lacking sufficient resources would cause performance failures and impact negatively on the users’ quality of experience. In order to improve this, it is important to provide the users with an easy access to specifying their requirements. It is also crucial to monitor the system resources and make corresponding adaptation immediately according to the user’s specifications. In this paper, the authors propose adaptation strategies that flexibly combine the process of monitoring and adaptation, which provides an easy way to specify user’s requirements. By tuning the quality of service, the applications’ demand on system resources is reduced, thus decreasing the chances of performance failures and improving the users’ quality of experience.

Download Full-text

Customer-Oriented Quality of Service Management Method for the Future Intent-Based Networking

Applied Sciences ◽

10.3390/app10228223 ◽

2020 ◽

Vol 10 (22) ◽

pp. 8223

Author(s):

Mykola Beshley ◽

Peter Veselý ◽

Andrii Pryslupskyi ◽

Halyna Beshley ◽

Marian Kyryk ◽

...

Keyword(s):

Quality Of Service ◽

Quality Management ◽

Service Quality ◽

Quality Of Experience ◽

Service Management ◽

Customer Experience ◽

Telecommunication Networks ◽

Service Quality Management ◽

Management Method

The rapid development and spread of communication technologies is now becoming a global information revolution. Customers have a need for communication services, which could be flexibly configured in accordance with their Quality of Experience (QoE) requirements. Realizing the close connection between customer experience and profitability, the service provider has been placing more and more attention on customer experience and QoE. The traditional quality of service management method based on SLA (Service Level Agreement) is not sufficient as a means to provide QoE-related contracts between service providers and customers. The current SLA method is mostly limited and focused on technical aspects of QoS (Quality of Service). Furthermore, they do not follow on the network the principles and semantic approach to the QoS specification for a communication service using QoE parameters. In this paper, we propose a customer-oriented quality of service management method for future IBN (Intent-Based Networking). It is based on a new QoE metric on a scale from 1 to 5, which allows one to take into account the commercial value of e-services for customers. Based on this approach, the network configuration and functionality of network equipment automatically changes depending on customer requirements. To implement the new method of service quality management, an algorithm for routing data packets in the network was developed, taking into account the current load of the forecast path. The algorithm of billing system functioning in conditions of customer-oriented quality management in telecommunication networks has been created. To investigate the effectiveness of the proposed method of service quality management with the traditional SLA method, we developed a simulation network model with the implementation of two approaches. By conducting a simulation, it was determined that the proposed method gives an average gain of 2–5 times for the criterion of the number of customers who require high quality of experience of the service.

Download Full-text