Streaming High-Definition Real-Time Video to Mobile Devices with Partially Reliable Transfer

Wu, Jiyan; Tan, Rui; Wang, Ming

doi:10.1109/tmc.2018.2836914

Cited by 28 publications

(20 citation statements)

References 43 publications

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“…Step 3: Based on the selection result of the worst NACK-device (i.e. (i opt (1) , m opt (1) )), we make a judgment on whether the selection results of other NACK-devices in Step 1 meet the constraints C 1 − C 5 . We take NACK-device (2) as an example to describe the process.…”

Section: Proposed Heuristic Algorithmmentioning

confidence: 99%

“…Step 1 with all resource pairs in S according to the process in Step 3, and then repeat the process. 1 The pseudo-code of the proposed heuristic algorithm can be summarized as Algorithm 1. The process of Step 1 has the complexity of (IMJ ).…”

Section: Proposed Heuristic Algorithmmentioning

confidence: 99%

“…8 illustrates AVFR performance of different schemes under different ratios of BS multicast phase. We assume that the ratio of BS multicast phase is defined as a = T 1 T , where T = T 1 + T 2 , and T 1 and T 2 represent the time allocated to BS multicast phase and D2D multicast phase, respectively. When the ratio a is small, the multicast rate is large enough to guarantee a complete GOP transmission within time aT , which means only a small number of users can decode the data of a GOP successfully, thus resulting in a poor performance.…”

Section: ) Average Satisfaction Index (Asi)mentioning

confidence: 99%

“…According to the Visual Networking Index (VNI) forecasted by Cisco in 2017, the traffic of realtime video streaming (e.g. Skype multiplayer conferencing, NBA game live, video gaming [1]), is predicted to grow 39 times by 2021 [2]. The rapid growth of instantaneous data traffic and the higher quality requirements of service proposed by distinguishing features of future real-time video streaming (e.g.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Proposed Heuristic Algorithmmentioning

confidence: 99%

Section: Proposed Heuristic Algorithmmentioning

confidence: 99%

Section: ) Average Satisfaction Index (Asi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…This technique inserts redundant data, called Error Correction Codes (ECCs), into the encoded video. These ECCs can be used for detecting missing data on the receiver side, and even, to recover them without retransmission, which is not feasible in some scenarios like real-time applications (e.g., live video streaming) [ 17 ]. RaptorQ codes is an example of this kind of mechanism [ 18 ].…”

Section: Related Workmentioning

confidence: 99%

Source Coding Options to Improve HEVC Video Streaming in Vehicular Networks

Abenza

Malumbres

Piñol

et al. 2018

Sensors

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Video delivery in Vehicular Ad-hoc NETworks has a great number of applications. However, multimedia streaming over this kind of networks is a very challenging issue because (a) it is one of the most resource-demanding applications; (b) it requires high bandwidth communication channels; (c) it shows moderate to high node mobility patterns and (d) it is common to find high communication interference levels that derive in moderate to high loss rates. In this work, we present a simulation framework based on OMNeT++ network simulator, Veins framework, and the SUMO mobility traffic simulator that aims to study, evaluate, and also design new techniques to improve video delivery over Vehicular Ad-hoc NETworks. Using the proposed simulation framework we will study different coding options, available at the HEVC video encoder, that will help to improve the perceived video quality in this kind of networks. The experimental results show that packet losses significantly reduce video quality when low interference levels are found in an urban scenario. By using different INTRA refresh options combined with appropriate tile coding, we will improve the resilience of HEVC video delivery services in VANET urban scenarios.

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Jitter‐sensitive data communication in emerging wireless networks

Sheikh

2023

Trans Emerging Tel Tech

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Jitter and time-sensitive communications (TSC) will play an important role as part of the emerging wireless networks such as fifth-generation (5G) and sixth-generation (6G) cellular networks to enable applications including vehicle-to-everything (V2X), real-time audio/video, real-time industrial automation and control, and synchronized collaboration. TSC is characterized by stringent latency, jitter, and reliability requirements. This paper considers the problem of scheduling time-sensitive data packets with stringent playout deadlines over a downlink multiple-input multiple-output (MIMO) channel, as part of the emerging wireless networks, to minimize the average jitter of a data session. Even though extensive research has been performed on MIMO technology, jitter and time-sensitive data communication over a MIMO channel remains an under-studied problem. In the proposed model, early or late arrival of the packets with respect to their playout deadlines incurs an early-or late-arrival penalty, respectively. The proposed scheduling problem is proven to be NP-hard and three computationally-efficient scheduling heuristics are developed with varying performance and computational tradeoffs. These heuristics make packet scheduling decisions over the MIMO subchannels with the objective of minimizing the average jitter value of the data session. While making scheduling decisions, these heuristics intelligently take into consideration the playout deadlines and size of the packets, the time-varying channel conditions, and the cost of the early or late arrival of the packets. The performance of these heuristics is evaluated from a design perspective through extensive simulations. The simulation results provide key insights into the relative performance tradeoffs among the three heuristics as a function of the various system parameters. This information could be utilized in intelligently allocating system resources to obtain the desired optimal system performance.

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Streaming High-Definition Real-Time Video to Mobile Devices with Partially Reliable Transfer

Abstract: Streaming high-definition real-time video to mobile devices with partially reliable transfer

Cited by 28 publications

References 43 publications

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

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

Source Coding Options to Improve HEVC Video Streaming in Vehicular Networks

Jitter‐sensitive data communication in emerging wireless networks

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