A Congestion-Aware Adaptive Streaming over ICN Combined with Explicit Congestion Notification for QoE Improvement

Rei NAKAGAWA  Satoshi OHZAHATA  Ryo YAMAMOTO  Toshihiko KATO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E104-D   No.2   pp.264-274
Publication Date: 2021/02/01
Publicized: 2020/11/02
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2020EDP7095
Type of Manuscript: PAPER
Category: Information Network
Keyword: 
information centric networking,  adaptive streaming,  congestion control,  quality of experience,  

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Summary: 
Recently, adaptive streaming over information centric network (ICN) has attracted attention. In adaptive streaming over ICN, the bitrate adaptation of the client often overestimates a bitrate for available bandwidth due to congestion because the client implicitly estimates congestion status from the content download procedures of ICN. As a result, streaming overestimated bitrate results in QoE degradation of clients such as cause of a stall time and frequent variation of the bitrate. In this paper, we propose a congestion-aware adaptive streaming over ICN combined with the explicit congestion notification (CAAS with ECN) to avoid QoE degradation. CAAS with ECN encourages explicit feedback of congestion detected in the router on the communication path, and introduces the upper band of the selectable bitrate (bitrate-cap) based on explicit feedback from the router to the bitrate adaptation of the clients. We evaluate the effectiveness of CAAS with ECN for client's QoE degradation due to congestion and behavior on the QoS metrics based on throughput. The simulation experiments show that the bitrate adjustment for all the clients improves QoE degradation and QoE fairness due to effective congestion avoidance.