Multilevel Cross-Layer Feedback Based Adaptive Video Coding for Wireless Transmission

Zhang, Chongyang; Wang, Yaozhong; Zheng, Shibao; Zhang, Honggang

doi:10.1109/wicom.2012.6478579

Cited by 2 publications

(5 citation statements)

References 11 publications

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“…Coordination between application and physical layer for optimum video communications with systems, such as H.264/AVC and UMTS, LTE/LTE-A, can be found in literature [4]- [12]. In [4], [5], the authors addressed the problem of adapting the source application layer based on feedback received from lower layers.…”

Section: Related Workmentioning

confidence: 99%

“…In [4], [5], the authors addressed the problem of adapting the source application layer based on feedback received from lower layers. In [4], channel conditions were evaluated using feedback obtained from the receiver and at the decoder frame losses were predicted using ARQ feedback. Accordingly, the algorithm adjusted the encoder rate control and adapted the reference picture selection.…”

Section: Related Workmentioning

confidence: 99%

“…Accordingly, the algorithm adjusted the encoder rate control and adapted the reference picture selection. H.264/AVC-SVC, was exploited in [5], in which channel conditions were evaluated using a similar feedback mechanism proposed in [4]. It proposed a cross-layer (application and physical) solution with respect to adaptive transmission rates for SVC layers.…”

Section: Related Workmentioning

confidence: 99%

“…It proposed a cross-layer (application and physical) solution with respect to adaptive transmission rates for SVC layers. However, both [4] and [5] failed to consider video content properties in their adaptation efforts. All IP packets were treated with equal priority at lower layers and subsequently, packets containing high priority information such as parameter sets and motion vectors were as equally vulnerable to channel distortions as low-priority information such as error signals.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

QoE aware resource allocation for video communications over LTE based mobile networks

Perera

Fernando

Mallikarachchi

et al. 2014

10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

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Abstract-As the limits of video compression and usable wireless radio resources are exhausted, providing increased protection to critical data is regarded as a way forward to increase the effective capacity for delivering video data. This paper explores the provisioning of selective protection in the physical layer to critical video data and evaluates its effectiveness when transmitted through a wireless multipath fading channel. In this paper, the transmission of HEVC encoded video through an LTE-A wireless channel is considered. HEVC encoded video data is ranked based on how often each area of the picture is referenced by subsequent frames within a GOP in the sequence. The critical video data is allotted to the most robust OFDM resource blocks (RBs), which are the radio resources in the time-frequency domain of the LTE-A physical layer, to provide superior protection. The RBs are ranked based on a prediction for their robustness against noise. Simulation results show that the proposed content aware resource allocation scheme helps to improve the objective video quality up to 37dB at lower channel SNR levels when compared against the reference system, which treats video data uniformly. Alternatively, with the proposed technique the transmitted signal power can be lowered by 30% without sacrificing video quality at the receiver.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

QoE aware resource allocation for video communications over LTE based mobile networks

Perera

Fernando

Mallikarachchi

et al. 2014

10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

View full text Add to dashboard Cite

show abstract

“…Reference [3] used feedback from lower layers of the communication protocol stack to the source coding stage to adjust the reference picture selection and encoder rate control. The work presented in [4] reaffirms the use of cross layer feedback by demonstrating adaptive transmission rates for Scalable Video Coding layers in a H.264/AVC system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Modulation and Coding based error resilience for transmission of compressed video

Perera

Fernando

Arachchi

et al. 2015

2015 International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-High spectral efficiency is at the core of any effort made to achieve the data rates and capacity requirements demanded by next generation mobile technologies. Adaptive Modulation and Coding (AMC) is considered a powerful tool for the efficient usage of spectrum and for the provision of channel adaptive error resilience. In this paper, a novel AMC based transmission scheme is introduced for Long Term EvolutionAdvanced (LTE-A) networks to impose adaptive error resilience on High Efficiency Video Coding (HEVC) based video data at the physical layer. A model is proposed to rank REs at the LTE-A transmitter based on channel information. Data are allocated onto ranked REs to maximise the efficiency of the users' allocated bandwidth while maintaining video quality. This is achieved by imposing a stronger Modulation and Coding Scheme (MCS) for data that have a high probability of being distorted, thus spanning the entire allocated bandwidth. Simulation results show that the proposed Unequal Error Protection (UEP) strategy helps to minimise the LTE-A transmitter power by up to 8dB with guaranteed video quality. In effect, this is a reduction of approximately 84% of the transmit power.

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Multilevel Cross-Layer Feedback Based Adaptive Video Coding for Wireless Transmission

Cited by 2 publications

References 11 publications

QoE aware resource allocation for video communications over LTE based mobile networks

QoE aware resource allocation for video communications over LTE based mobile networks

Adaptive Modulation and Coding based error resilience for transmission of compressed video

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