Trends in Human-Centric Multimedia Networking scenarios

Rosário, Denis; Seruffo, Marcos César da Rocha; Cerqueira, Eduardo; Both, Cristiano Bonato; Braun, Torsten; Gerla, Mário

doi:10.1109/medhocnet.2016.7528428

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Specifically, a compressed video is composed of three types of frames, ie, I-, P-, and B-frames. 15 These frames are arranged into sequences, called group of pictures (GoP) which contains all the information required to decode a given video within a period of time. Each frame has different priorities, where the loss of priority frames (ie, I-frame) can cause more severe video distortions than low priority frames based on the user perspective.…”

Section: Measurement Phasementioning

confidence: 99%

“…3 Also, QoS schemes alone are not enough to assess, control, and improve the quality level of multimedia applications based on user experience. 15 In heterogeneous networks, subjective aspects of video content concerning the user's perception and satisfaction should be considered to perform handovers. 10 In this way, QoE must be measured and integrated for decision making to improve the handover decision, while assuring the video service requirements for mobile users.…”

Section: Introductionmentioning

confidence: 99%

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Quality of experience and quality of service‐aware handover for video transmission in heterogeneous networks

et al. 2019

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Heterogeneous networks offer a wide range of multimedia services, such as entertainment, advertising, and video conferences. In this multimedia scenario, users can access video content via heterogeneous wireless networks, such as LTE macro and small cells. Users also expect to receive real-time videos with Quality of Experience (QoE) support, which is a challenging task due to the great diversity of radio base stations in such heterogeneous environments. In this article, we introduce a Quality of Service (QoS-)/QoE-and Radio-aware (SER) handover management algorithm for heterogeneous networks to provide video dissemination with QoS/QoE support. SER algorithm considers the analytic hierarchy process (AHP) to adjust the degree of importance of each criterion in order to select the appropriate radio base station that the mobile node must connect, allowing efficient handover decision making for video transmission with high user experience. Simulation results show that the SER algorithm delivered videos with significant improvement on QoE than existing handover algorithms.

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Section: Measurement Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%