Chuan Zhu | University of Southampton (original) (raw)

Chuan Zhu

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Papers by Chuan Zhu

Research paper thumbnail of Hierarchical Colour-Shift-Keying Aided Layered Video Streaming for the Visible Light Downlink

Colour-shift keying (CSK) constitutes an important modulation scheme conceived for the visible li... more Colour-shift keying (CSK) constitutes an important modulation scheme conceived for the visible light communications (VLC). The signal constellation of CSK relies on three different-color light sources invoked for information transmission. The CSK constellation has been optimized for minimizing the bit error rate, but no effort has been invested in investigating the feasibility of CSK aided unequal error protection (UEP) schemes conceived for video sources. Hence, in this treatise, we conceive a hierarchical CSK (HCSK) modulation scheme based on the traditional CSK, which is capable of generating interdependent layers of signals having different error probability, which can be readily reconfigured by changing its parameters. Furthermore, we conceived an HCSK design example for transmitting scalable video sources with the aid of a recursive systematic convolutional (RSC) code. An optimization method is conceived for enhancing the UEP and for improving the quality of the received video. Our simulation results show that the proposed optimized-UEP 16-HCSK-RSC system outperforms the traditional equal error protection scheme by ∼1.7 dB of optical SNR at a peak signal-to-noise ratio of 37 dB, while optical SNR savings of up to 6.5 dB are attained at a lower PSNR of 36 dB.

Research paper thumbnail of Iterative joint source-channel decoding aided transmission of losslessly compressed video

2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

ABSTRACT Iterative source-channel decoding (ISCD) exploits the residual redundancy of the source ... more ABSTRACT Iterative source-channel decoding (ISCD) exploits the residual redundancy of the source by iteratively exchanging extrinsic information with the channel codecs to achieve robust transmission. In this treatise we propose a video codec suitable for lossless video compression and IS CD. At the encoder the spatio-temporal redundancy is partially removed at a low complexity by simply evaluating the frame difference (FD), which is then variable-length encoded (VLC). At the receiver we invoke a three-stage concatenated IS CD scheme for exploiting the residual redundancy of the FD. A Markov Random Field (MRF) model based soft-in-soft-out (SISO) module is proposed for exploiting the spatial correlations amongst the adjacent video pixels, using intra-frame coding. More explicitly, the VLC SISO decoder operates by exchanging soft information with both the MRF module and the soft channel decoder. The convergence of the three-stage iterative decoding process is examined using 3D extrinsic information transfer (EXIT) charts. Finally, we show that our system exhibits a substantial Eb/NO improvement of about 5.2 dB compared to the corresponding benchmarker schemes.

Research paper thumbnail of Spatio-temporal iterative source–channel decoding aided video transmission

Research paper thumbnail of Adaptive Truncated HARQ Aided Layered Video Streaming Relying On Inter-Layer FEC Coding

IEEE Transactions on Vehicular Technology, 2015

Research paper thumbnail of Hierarchical Colour-Shift-Keying Aided Layered Video Streaming for the Visible Light Downlink

Colour-shift keying (CSK) constitutes an important modulation scheme conceived for the visible li... more Colour-shift keying (CSK) constitutes an important modulation scheme conceived for the visible light communications (VLC). The signal constellation of CSK relies on three different-color light sources invoked for information transmission. The CSK constellation has been optimized for minimizing the bit error rate, but no effort has been invested in investigating the feasibility of CSK aided unequal error protection (UEP) schemes conceived for video sources. Hence, in this treatise, we conceive a hierarchical CSK (HCSK) modulation scheme based on the traditional CSK, which is capable of generating interdependent layers of signals having different error probability, which can be readily reconfigured by changing its parameters. Furthermore, we conceived an HCSK design example for transmitting scalable video sources with the aid of a recursive systematic convolutional (RSC) code. An optimization method is conceived for enhancing the UEP and for improving the quality of the received video. Our simulation results show that the proposed optimized-UEP 16-HCSK-RSC system outperforms the traditional equal error protection scheme by ∼1.7 dB of optical SNR at a peak signal-to-noise ratio of 37 dB, while optical SNR savings of up to 6.5 dB are attained at a lower PSNR of 36 dB.

Research paper thumbnail of Iterative joint source-channel decoding aided transmission of losslessly compressed video

2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

ABSTRACT Iterative source-channel decoding (ISCD) exploits the residual redundancy of the source ... more ABSTRACT Iterative source-channel decoding (ISCD) exploits the residual redundancy of the source by iteratively exchanging extrinsic information with the channel codecs to achieve robust transmission. In this treatise we propose a video codec suitable for lossless video compression and IS CD. At the encoder the spatio-temporal redundancy is partially removed at a low complexity by simply evaluating the frame difference (FD), which is then variable-length encoded (VLC). At the receiver we invoke a three-stage concatenated IS CD scheme for exploiting the residual redundancy of the FD. A Markov Random Field (MRF) model based soft-in-soft-out (SISO) module is proposed for exploiting the spatial correlations amongst the adjacent video pixels, using intra-frame coding. More explicitly, the VLC SISO decoder operates by exchanging soft information with both the MRF module and the soft channel decoder. The convergence of the three-stage iterative decoding process is examined using 3D extrinsic information transfer (EXIT) charts. Finally, we show that our system exhibits a substantial Eb/NO improvement of about 5.2 dB compared to the corresponding benchmarker schemes.

Research paper thumbnail of Spatio-temporal iterative source–channel decoding aided video transmission

Research paper thumbnail of Adaptive Truncated HARQ Aided Layered Video Streaming Relying On Inter-Layer FEC Coding

IEEE Transactions on Vehicular Technology, 2015

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