Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast Over Wireless Networks

Li, Chenglin; Xiong, Hongkai; Zou, Junni; Wu, Dapeng

doi:10.1109/tmm.2017.2745709

Cited by 27 publications

(7 citation statements)

References 43 publications

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“…In addition to [6], adaptive video streaming methods were also the focus of [7], where Hu et al develop a scalable video adaptation over wireless networks to address the heterogeneity of both video streams and the underlying wireless link capacities of different users. The network heterogeneity problem was also analyzed in [8] by Al Hasrouty et al, who propose two algorithms for establishing and maintaining multicast sessions in a software-defined network. Li et al in [9] developed a scheme to maximize the overall video reception quality among all destinations during the multicast period.…”

Section: Literature Review and Motivationmentioning

confidence: 99%

Modeling the Level of User Frustration for the Impaired Telemeeting Service Using User Frustration Susceptibility Index (UFSI)

Mrvelj

Matulin

2021

Electronics

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Modern users are accustomed to always-accessible networks ready to serve all of their communication, entertainment, information, and other needs, at the touch of their devices. Spoiled with choices provided on the competitive markets, the risk of customer churn makes network and service providers sensitive to user Quality of Experience (QoE). Services that enable people to work and industries to function in these pandemic times, such as the telemeeting service, are becoming ever more critical, not just for the end-users but also for the providers. Nevertheless, the heterogeneity of end-users network environments and the uniqueness of the service (bidirectional video and audio transmissions and interactivity between the meeting peers) imposes specific QoE requirements. Hence, this paper focuses on understanding how different service quality degradations affect user perception and frustration with such impaired service. The impact of eight quality degradations was analyzed. Based on the conducted user study, we used the multiple regression analysis and developed three models capable of predicting user Level of Frustration (LoF) for the specific degradations that we have analyzed. The models work with the User Frustration Susceptibility Index (UFSI), which categorizes users into groups based on their tendency to become frustrated with the impaired service.

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Section: Literature Review and Motivationmentioning

confidence: 99%

Modeling the Level of User Frustration for the Impaired Telemeeting Service Using User Frustration Susceptibility Index (UFSI)

Mrvelj

Matulin

2021

Electronics

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“…Maximizing throughput is the most direct and effective method from the perspective of SU. The single data rate [19]- [23] and multiple data rate demands [24] [25] of VRUs have been considered. Some methods have been proposed to minimize energy consumption [26] and guarantee fairness from VRUs [27] for offloading BS traffic.…”

Section: Introductionmentioning

confidence: 99%

Socially Aware Device-to-multi-device User Grouping for Popular Content Distribution

2020

KSII TIIS

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“…Video multicast is recognized as one of the most prospective solutions for real-time video streaming in the next generation of cellular networks [7]- [9]. By utilizing video multicast to simultaneously serve the different users with the same subscription on content, the redundant transmissions can be reduced and the system capacity can be efficiently improved [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

A Video Streaming Transmission Scheme Based on Frame Priority in Device-to-Device Multicast Networks

Ren

Chen

et al. 2019

IEEE Access

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Owing to a dramatic increase of traffic, high demand for quality of service (QoS), and insufficient radio resources, real-time video streaming transmission with stringent delay constraints has been intensely concerned. By exploiting the device-to-device (D2D) multicast communications, this paper proposes a video streaming transmission scheme based on the frame priority (FP) to improve the QoS perceived by users and the users' satisfaction about the video quality. First, the FP strategy is proposed, which mainly considers the encoding characteristics of video streaming and users' feedback to ensure that the frames to be retransmitted are valuable for decoding. Then, in order to transmit a sufficient number of valuable frames within the delay constraints, the optimization of time consumption of the retransmitted frame is formulated. Based on this, the physical-layer resource allocation in the D2D multicast networks is discussed, where the relay selection, D2D subgroup forming, and channel allocation are jointly investigated with the aid of three-dimensional channel quality matrix. Furthermore, a heuristic algorithm is proposed to obtain a near-optimal performance with low complexity. The simulation results verify the advantages of our proposed transmission scheme in users' video reception quality and the satisfaction of all users. INDEX TERMS D2D multicast, frame priority, resource allocation, real-time video.

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Joint Dynamic Rate Control and Transmission Scheduling for Scalable Video Multirate Multicast Over Wireless Networks

Cited by 27 publications

References 43 publications

Modeling the Level of User Frustration for the Impaired Telemeeting Service Using User Frustration Susceptibility Index (UFSI)

Modeling the Level of User Frustration for the Impaired Telemeeting Service Using User Frustration Susceptibility Index (UFSI)

Socially Aware Device-to-multi-device User Grouping for Popular Content Distribution

A Video Streaming Transmission Scheme Based on Frame Priority in Device-to-Device Multicast Networks

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