QoE-Based Mobility-Aware Collaborative Video Streaming on the Edge of 5G

Tuysuz, Mehmet Fatih and Aydin, Mehmet Emin (2020) QoE-Based Mobility-Aware Collaborative Video Streaming on the Edge of 5G. IEEE Transactions on Industrial Informatics, 16 (11). pp. 7115-7125. ISSN 1551-3203

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Official URL: https://doi.org/10.1109/tii.2020.2972931


Today's Internet traffic is dominated by video streaming applications transmitted through wireless/cellular interfaces of mobile devices. Although ultrahigh-definition videos are now easily transmitted through mobile devices, video quality level that users perceive is generally lower than expected due to distance-based high latency between sources and end-users. Mobile edge computing (MEC) paradigm is expected to address this issue and provide users with higher perceived quality of experience (QoE) for latency-critical applications, deploying MEC servers at edges. However, due to capacity concerns on MEC servers, a more comprehensive approach is needed to meet users’ expectations applying all possible operations over the resources such as caching, prefetching, and task offloading policies depending on the data repetition or memory/CPU utilization. To address these issues, this article proposes a novel collaborative QoE-based mobility-aware video streaming scheme deployed at MEC servers. Throughout the article, we demonstrate how the proposed scheme can be implemented so as to preserve the desired QoE level per user during entire video sessions. Performance of the proposed scheme has been investigated by extensive simulations. In comparison to existing schemes, the results illustrate that high efficiency is achieved through collaboration among MEC servers, utilizing explicit window size adaptation, collaborative prefetching, and handover among the edges.

Item Type: Article
Uncontrolled Keywords: DASH, MEC, Mobile edge computing, QoE, Video streaming, 5G
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Elena Carlaw
Date Deposited: 30 Sep 2020 15:11
Last Modified: 31 Jul 2021 12:50
URI: http://nrl.northumbria.ac.uk/id/eprint/44362

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