QoE-based network interface selection for heterogeneous wireless networks: A survey and e-Health case proposal

Senouci, Mohamed Abdelkrim; Souihi, Sami; Hoceini, Saïd; Mellouk, Abdelhamid

doi:10.1109/wcnc.2016.7564979

Cited by 6 publications

(1 citation statement)

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“…However, some of them were not about video transmission, or some of the utility functions could not effectively describe the Quality of Experience(QoE) of video application. Some others [3,5,11,13] studied the QoE and solved the allocation problems of handing off and interface selection, etc. Compared with game theory, they often followed a traditional optimizationbased approach.…”

Section: Introductionmentioning

confidence: 99%

Distributed Quality-Aware Resource Allocation for Video Transmission in Wireless Networks

He¹,

Xie²,

Tian³

2019

Lecture Notes in Computer Science

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The rapid development of wireless networks makes it more convenient for people to enjoy high quality multimedia. However, video applications are throughput-demanding, and relatively, radio resource always seems insufficient. Hence, a distributed algorithm is designed in this paper to allocate the limited wireless resource among multiple users for video streaming. In order to specify multimedia service from other ordinary data transmission, the QoE-oriented utility function is considered first. Then, a potential game model is formulated and all the video receivers can update their rate strategies with very little information exchange. By this kind of updating, the bandwidth allocation could be achieved intelligently. The algorithm converges to a set of correlated equilibria. Numeric simulation results indicate that it brings remarkable benefits to both the resource provider and the video users.

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Section: Introductionmentioning

confidence: 99%