The significant increment in the number of users that need broadband multimedia system, relative radio resources, and the evolution of the devices has encouraged to search for different methods to manage heterogeneous wireless networks. One solution to this problem is to make traffic balancing on heterogeneous networks, so that none of the available networks for a given user will be saturated avoiding performance decay. This paper proposes a novel Multiplicative Exponential Weighting (MEW) approach that manages the access network selection. MEW combines several inputs such as power of the received signal, throughput, packet delay, cost-per-user, the requested type of traffic, and type of device. The obtained results have shown an improvement of 15% in average PSNR, and 20% in terms of delay and throughput, compared to the algorithms presented in the literature.

Real-time load optimization for multimedia delivery content over heterogeneuos wireless network using a MEW approach

Desogus, Cristina
;
Anedda, Matteo
;
Murroni, Maurizio
2017-01-01

Abstract

The significant increment in the number of users that need broadband multimedia system, relative radio resources, and the evolution of the devices has encouraged to search for different methods to manage heterogeneous wireless networks. One solution to this problem is to make traffic balancing on heterogeneous networks, so that none of the available networks for a given user will be saturated avoiding performance decay. This paper proposes a novel Multiplicative Exponential Weighting (MEW) approach that manages the access network selection. MEW combines several inputs such as power of the received signal, throughput, packet delay, cost-per-user, the requested type of traffic, and type of device. The obtained results have shown an improvement of 15% in average PSNR, and 20% in terms of delay and throughput, compared to the algorithms presented in the literature.
2017
9781509049370
Congestion control; Networking and QoS; Performance evaluation; Propagation and coverage; Traffic and performance monitoring; Computer Graphics and Computer-Aided Design; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Human-Computer Interaction; Electrical and Electronic Engineering; Media Technology; Communication
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/234663
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