Application Layer Forward Error Correction for Mobile Multimedia Broadcasting

Stockhammer, Thomas; Shokrollahi, Amin; Watson, Mark A.; Luby, Michael; Gasiba, Tiago Espinha

doi:10.1201/9781420053890.ch10

Cited by 36 publications

(33 citation statements)

References 5 publications

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“…In general, the simple decoding algorithm through message passing [19] is widely used because of its low complexity. The decoding complexity of LT code is known to be [24], [25], which is included in the 3rd generation partnership project (3GPP) [26] and digital video broadcasting-handheld (DVB-H) system [27], achieves linear time encoding and decoding complexity through a pre-coding stage of the source symbols [28]. In recent years, a more advanced Raptor code with greater flexibility and improved reception overhead, called RaptorQ, has been introduced into the IETF [29].…”

Section: Fountain Codementioning

confidence: 99%

Game-Theoretic Scalable Offloading for Video Streaming Services over LTE and WiFi Networks

Park

Song

2018

IEEE Trans. on Mobile Comput.

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Abstract-This paper presents a game-theoretic scalable offloading system that provides seamless video streaming services by effectively offloading parts of video traffic in all video streaming services to a WiFi network to alleviate cellular network congestion. The system also consolidates multiple physical paths in a cost-effective manner. In the proposed system, the fountain encoding symbols of compressed video data are transmitted through long term evolution (LTE) and WiFi networks concurrently to flexibly control the amount of video traffic through the WiFi network as well as mitigate video quality degradation caused by wireless channel errors. Furthermore, the progressive second price auction mechanism is employed to allocate the limited LTE resources to multiple user equipment in order to maximize social welfare while converging to the ε-Nash equilibrium.Specifically, we design an application-centric resource valuation that explicitly considers both the realistic wireless network conditions and characteristics of video streaming services. In addition, the scalability and convergence properties of the proposed system are verified both theoretically and experimentally. The proposed system is implemented using network simulator 3. Simulation results are provided to demonstrate the performance improvement of the proposed system.

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Section: Fountain Codementioning

confidence: 99%

Game-Theoretic Scalable Offloading for Video Streaming Services over LTE and WiFi Networks

Park

Song

2018

IEEE Trans. on Mobile Comput.

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“…These bit-level schemes [2], [30], [65], [66], [77], [79], [100], [102], [115], [116] tended to employ physical layer FEC codes [117] and performed soft decoding [118] for wireless video communications.…”

Section: Bit-level Fecmentioning

confidence: 99%

A Tutorial and Review on Inter-Layer FEC Coded Layered Video Streaming

Huo

Hellge

Wiegand

et al. 2015

IEEE Commun. Surv. Tutorials

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Abstract-Layered video coding creates multiple layers of unequal importance, which enables us to progressively refine the reconstructed video quality. When the base layer (BL) is corrupted or lost during transmission, the enhancement layers (ELs) must be dropped, regardless whether they are perfectly decoded or not, which implies that the transmission power assigned to the ELs is wasted. For the sake of combating this problem, the class of inter-layer forward error correction (IL-FEC) solutions, also referred to as layer-aware FEC (LA-FEC 1 ), has been proposed for layered video transmissions, which jointly encode the BL and the ELs, thereby protecting the BL using the ELs. This tutorial aims for inspiring further research on IL-FEC/LA-FEC techniques, with special emphasis on the family of soft-decoded bit-level IL-FEC schemes.

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“…This issue has led research community towards the design of error-resiliency features, for e.g. data partitioning, error concealment techniques and flexible macroblock ordering (FMO) [2] in H.264 [1,3,4].Recent researches have demonstrated that Forward error correction (FEC) schemes have been widely used in order to protect video data against channel impairments to provide successful data transmission and to avoid costly retransmissions [5][6][7]. Yet, the maximum throughput does not ensures the minimum video distortion at the receiver end since the video data are delay sensitive and retransmission of corrupted packets may not be viable.…”

Section: Introductionmentioning

confidence: 99%

An End-To-End Video Transmission System over Various Wireless Environments

John¹

2015

IJAREEIE

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This paper presents framework for video transmission over wireless networks with LDPC based error correction mechanism to ensure error free data delivery with H.264 AVC video encoder to cope up with limited bandwidth issue. Video stream were transmitted over wireless network and compared for Bit Error Rate. The wireless link between sender and transmitter is considered to have characteristics of AWGN, Rayleigh, Nakagami and Rician fading environment. This paper is organized as follows: section-II describes related work in the field of efficient video transmission followed by the basics of forward error correction schemes in section-III. Section-IV represents proposed video transmission algorithm and section-V contains experimental setup and simulation results. Finally section-VI concludes this paper.

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Application Layer Forward Error Correction for Mobile Multimedia Broadcasting

Cited by 36 publications

References 5 publications

Game-Theoretic Scalable Offloading for Video Streaming Services over LTE and WiFi Networks

Game-Theoretic Scalable Offloading for Video Streaming Services over LTE and WiFi Networks

A Tutorial and Review on Inter-Layer FEC Coded Layered Video Streaming

An End-To-End Video Transmission System over Various Wireless Environments

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