QoE-traffic optimization through collaborative edge caching in adaptive mobile video streaming

Mehrabi, A. ORCID: 0000-0002-8758-0882, Siekkinen, M. and Yla-Jaaski, A., 2018. QoE-traffic optimization through collaborative edge caching in adaptive mobile video streaming. IEEE Access, 6, pp. 52261-52276. ISSN 2169-3536

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Abstract

Multi-access edge computing has been proposed as a promising approach to localize the access of mobile clients to the network edges, therefore, reducing significantly the traffic congestion on the backhaul network. Due to time-varying wireless channel condition, the video caching at the mobile edges for dynamic adaptive video streaming over HTTP (DASH) needs to be efficiently handled to alleviate the high bandwidth demand on the backhaul network and improve the quality of experience (QoE) of end users. We investigate the impact of collaborative mobile edge caching on joint QoE and backhaul data traffic by proposing the joint QoE-traffic optimization with collaborative edge caching which introduces the BFTR (backhaul/fronthaul traffic ratio) parameter adjustable by the mobile network operator. We then design a self-tuned bitrate selection algorithm with low complexity to solve the optimization problem and further propose an efficient cache replacement strategy called retention-based collaborative caching. Through simulation-based evaluations, we show a noticeable gain in the percentage of cache miss and specify some threshold for BFTR parameter after which the significant reduction in the data traffic with further improvement in average video bitrate is obtained using collaborative caching. Our findings help mobile edge system developers design an efficient collaborative caching mechanism for 5G networks.

Item Type: Journal article
Publication Title: IEEE Access
Creators: Mehrabi, A., Siekkinen, M. and Yla-Jaaski, A.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Volume: 6
ISSN: 2169-3536
Identifiers:
NumberType
10.1109/access.2018.2870855DOI
Rights: © Copyright 2019 IEEE - All rights reserved.
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 18 Sep 2019 14:13
Last Modified: 18 Sep 2019 14:13
URI: http://irep.ntu.ac.uk/id/eprint/37695

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