Title :
Global state-dependent QoE based routing
Author :
Tran, Hai Anh ; Mellouk, Abdelhamid ; Hoceini, Said ; Augustin, Brice
Author_Institution :
Image, Signal & Intell. Syst. Lab.-LiSSi Lab., Univ. of Paris-Est Creteil Val de Marne (UPEC), Vitry-sur-Seine, France
Abstract :
For years, wireless network systems have been trying to satisfy end-users and support high quality multimedia applications such as Mobile TV, VoIP, etc. Combining wireless networks with multimedia content distribution needs efficient routing protocols. We develop in this paper a new routing protocol, namely DOQAR (Dynamic Optimized QoE Adaptive Routing), to improve the user perception and optimize the usage of network resources. In our end-to-end model, smartphone users connect to content servers in a wired network across a wireless access network. In order to evaluate the QoE, we use a Multi-Layer Perception-based (MLP) method. Experimental results show a significant performance against other traditional routing protocols.
Keywords :
multilayer perceptrons; multimedia communication; radio networks; routing protocols; smart phones; telecommunication computing; DOQAR; MLP method; VoIP; content server; dynamic optimized QoE adaptive routing; end-to-end model; global state-dependent QoE; high quality multimedia application; mobile TV; multilayer perception-based method; multimedia content distribution; network resource; routing protocol; smartphone; user perception; wired network; wireless access network system; Multimedia communication; Neurons; Routing; Routing protocols; Servers; Streaming media; Wireless communication; Quality of Experience (QoE); Quality of Service (QoS); Reinforcement Learning; autonomous system; network services; routing system; wireless network;
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
DOI :
10.1109/ICC.2012.6364307