A Failsoft Scheme for Mobile Live Streaming by Scalable Video Coding

Okada, Hiroki; Yoshimi, Masato; Wu, Celimuge; Yoshinaga, Tsutomu

doi:10.1587/transinf.2021pap0015

Cited by 3 publications

(3 citation statements)

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“…In future work, we aim to evaluate LBCA under practical conditions and compared it with other related studies, such as [10]. We aim to also evaluate the QoE of users from various perspectives.…”

Section: Discussionmentioning

confidence: 99%

“…Okada et al [10] proposed a mechanism to realize continuous video watching even during peak traffic, using a flexible SVC-based cache control for live streaming. However, they ignored radio network attenuation characteristics and a reduction in the communication speed caused by access concentration.…”

Section: Reducing Traffic Using Scalable Video Coding Schemesmentioning

confidence: 99%

“…This scheme shares the cache data among multiple cache servers through cooperation to increase the total cache capacity by holding different contents for each cache server [8] [6]. In addition, mobile cache servers use scalable video coding (SVC) schemes that have been proposed to improve the quality of experience (QoE) of users [10] [17]. In SVC, the video data are divided into a base layer and an extension layer to improve the quality.…”

Section: Introductionmentioning

confidence: 99%

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Load-based Content Allocation Scheme for Realizing Efficient Mobile Cooperative Cache

Akiba

Yoshinaga

2023

IJNC

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Owing to the rise in mobile users accessing high-quality video content, content delivery networks are under increased load. Therefore, a distributed cooperative caching technique, in which each mobile device functions as a cache server and shares a cache through deviceto-device communication has been proposed to alleviate the network load. However, efficient content placement on mobile devices is challenging, because the cache capacity of each mobile device is limited and did not remain at a fixed location. In this study, we propose a load-based content allocation (LBCA) method that efficiently distributes cache data to mobile devices based on the load of the base station (BS). The proposed scheme uses scalable video coding (SVC) that subdivides the content data hierarchically and dynamically selects the video quality depending on the network load. Additionally, we propose a multi-stage LBCA (M-LBCA) that divides the BS distribution area into concentric clusters to efficiently manage cache capacity for SVC data while considering the distance from the BS. Simulations demonstrated a decrease in the total number of users unable to continually view content on congested networks when using LBCA and M-LBCA as compared to the existing method in four evaluation environments. Therefore, our experiments demonstrate that the proposed cache control scheme improved the user's quality of experience.

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Section: Discussionmentioning

confidence: 99%

Section: Reducing Traffic Using Scalable Video Coding Schemesmentioning

confidence: 99%