Improvement of QoS in IMS network using network coding

Allouch, Hamid; Belkasmi, Mostafa

doi:10.1145/2536853.2536918

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…They developed innovative, cost-effective and energy efficiency solutions to minimize the energy consumption of ICT technologies and exploit renewable energy sources. Network coding in network layer has been used in [17] to improve the throughput, minimize the transmission delay and minimize the energy consumption in IMS networks.…”

Section: Related Workmentioning

confidence: 99%

Smart resource allocation for improving QoE in IP Multimedia Subsystems

Cánovas

Taha

Lloret

et al. 2018

Journal of Network and Computer Applications

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IP Multimedia Subsystem (IMS) is a robust multimedia service. IMS becomes more important when delivering multimedia services. Multimedia service providers can benefit from IMS to ensure a good QoE (Quality of Experience) to their customers with minimal resources usage. In this paper, we propose an intelligent media distribution IMS system architecture for delivering video streaming. The system is based primarily on uploading a multimedia file to a server in the IMS. Later, other users can download the uploaded multimedia file from the IMS. In the system, we also provide the design of the heuristic decision methods and models based on probability distributions. Thus, our system takes into account the network parameters such as bandwidth, jitter, delay and packet loss that influence the QoE of the end-users. Moreover, we have considered the other parameters of the energy consumption such as CPU, RAM, temperature and number connected users that impact the result of the QoE. All these parameters are considered as input to our proposal management system. The measurements taken from the real test bench show the real performance and demonstrate the success of the system about ensuring the upload speed of the multimedia file, guaranteeing the QoE of end users and improving the energy efficiency of the IMS.

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Section: Related Workmentioning

confidence: 99%