Efficient Cross-Layer Error Control for Wireless Video Multicast

Bajić, Ivan V.

doi:10.1109/tbc.2006.889211

Cited by 26 publications

(16 citation statements)

References 15 publications

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“…Thus, it was optimized the relationship between the average PSNR and the outage probability in a video broadcast service, obtaining the maximum possible video quality. This technique was studied in several papers [17][18][19] due to the numerous possibilities of configuration and the conceptualization offered by the cross-layer architecture.…”

Section: State-of-the-artmentioning

confidence: 99%

Evaluation of H.264/AVC over IEEE 802.11p vehicular networks

Rozas-Ramallal

Fernández‐Caramés

Dapena

et al. 2013

EURASIP J. Adv. Signal Process.

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The capacity of vehicular networks to offer non-safety services, like infotainment applications or the exchange of multimedia information between vehicles, have attracted a great deal of attention to the field of Intelligent Transport Systems (ITS). In particular, in this article we focus our attention on IEEE 802.11p which defines enhancements to IEEE 802.11 required to support ITS applications. We present an FPGA-based testbed developed to evaluate H.264/AVC (Advanced Video Coding) video transmission over vehicular networks. The testbed covers some of the most common situations in vehicle-to-vehicle and roadside-to-vehicle communications and it is highly flexible, allowing the performance evaluation of different vehicular standard configurations. We also show several experimental results to illustrate the quality obtained when H.264/AVC encoded video is transmitted over IEEE 802.11p networks. The quality is measured considering two important parameters: the percentage of recovered group of pictures and the frame quality. In order to improve performance, we propose to substitute the convolutional channel encoder used in IEEE 802.11p for a low-density parity-check code encoder. In addition, we suggest a simple strategy to decide the optimum number of iterations needed to decode each packet received.

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Section: State-of-the-artmentioning

confidence: 99%

Evaluation of H.264/AVC over IEEE 802.11p vehicular networks

Rozas-Ramallal

Fernández‐Caramés

Dapena

et al. 2013

EURASIP J. Adv. Signal Process.

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“…An improved video quality was achieved by the proposed scheme at a limited delay. Layered video has been considered for transmission using HARQ schemes in either unicast or multicast scenarios [16]- [20]. The authors of [16] presented a theoretical analysis as well as rich experimental results for characterizing both unicast and multicast scenarios for transmission over packet-erasure channels, while the authors of [17]- [20] provided solutions for multicast systems transmitting layered video using various HARQ schemes.…”

Section: Introductionmentioning

confidence: 99%

Adaptive-Truncated-HARQ-Aided Layered Video Streaming Relying on Interlayer FEC Coding

Zhu

Huo

Zhang

et al. 2016

IEEE Trans. Veh. Technol.

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Abstract-Inter-layer forward error correction coding (IL-FEC) constitutes an effective unequal error protection (UEP) scheme conceived for transmitting layered video over wireless channels. In contrast to traditional UEP schemes, it operates by embedding extra information concerning the base layer (BL) into the enhancement layers (ELs) without requiring extra transmission resources. The received EL packets assist in the decoding of the BL in order to reduce the distortion of the reconstructed video. The optimum scheduling of the IL-FEC coded layered video streaming in a truncated HARQ (THARQ) aided system is an open problem. Hence in this treatise, we conceive an adaptive THARQ (ATHARQ) algorithm for finding the most appropriate scheduling of the IL-FEC coded layered video packets for the sake of minimizing the video distortion under the constraint of a given total number of transmission time slots. Furthermore, we develop a method of on-line coding-rate optimization algorithm for our IL-ATHARQ transmission scheme, in order to find the best FEC code rate distribution among the video layers that results in the lowest possible video distortion. When using a recursive systematic convolutional (RSC) code, our simulation results show that the proposed rate-optimized IL-ATHARQ system outperforms the traditional THARQ transmission scheme by about 5.3 dB of E b /N0 at a peak signal-to-noise ratio (PSNR) of 38.5 dB. Viewing the improvements in terms of the video quality, 2.5 dB of PSNR improvement is attained at an E b /N0 of 15 dB.

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“…Such challenges lead to packet losses which are recovered by two techniques: Automatic Repeat Request (ARQ) and Forward Error Correction (FEC). ARQ recovers packets by retransmitting the lost packets during timeouts or responding to the explicit requests from the receiver whereas FEC [9], [10] acts in advance by sending redundant packets along with original packets to recover successfully at the receiver in case of packet losses. Out of the two approaches, FEC guarantees the low retransmission delay and variation in delay (also known as "jitter") and thus suitable for real-time data transmission.…”

Section: Introductionmentioning

confidence: 99%

An Access Point-Based FEC Mechanism for Video Transmission over Wireless LANs

Singh¹

2015

IJIRCCE

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ABSTRACT:Video transmission over the wireless network faces many challenges. The most critical challenge is related to packet loss. To overcome the problem of packet loss, Forward Error Correction is used by adding extra packets known as redundant packet or parity packet. Currently, FEC mechanisms have been adopted together with Automatic Repeat request (ARQ) mechanism to overcome packet losses and avoid network congestion in various wireless network conditions. In the current work An Enhanced Random Early Detection Forward Error Correction (ERED-FEC) mechanism is implemented to improve the quality of video transmissions over Wireless Local Area Networks (WLANs). The aim is to improve recovery performance on the current Adaptive FEC mechanism by injecting FEC packets dynamically based on varying wireless network conditions. Based on the findings, the optimal amount of FEC generated by Enface mechanism can recover high packet loss and produce good video quality

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Efficient Cross-Layer Error Control for Wireless Video Multicast

Cited by 26 publications

References 15 publications

Evaluation of H.264/AVC over IEEE 802.11p vehicular networks

Evaluation of H.264/AVC over IEEE 802.11p vehicular networks

Adaptive-Truncated-HARQ-Aided Layered Video Streaming Relying on Interlayer FEC Coding

An Access Point-Based FEC Mechanism for Video Transmission over Wireless LANs

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