Cooperative systems based signal processing techniques with applications to three-dimensional video transmission

PhD Thesis


Salim, Omar Hazim. 2015. Cooperative systems based signal processing techniques with applications to three-dimensional video transmission. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Title

Cooperative systems based signal processing techniques with applications to three-dimensional video transmission

TypePhD Thesis
Authors
AuthorSalim, Omar Hazim
SupervisorXiang, Wei
Leis, john
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Philosophy
Number of Pages209
Year2015
Abstract

Three-dimensional (3-D) video has recently emerged to offer an immersive multimedia experience that can not be offered by two-dimensional (2-D) video applications. Currently, both industry and academia are focused on delivering 3-D video services to wireless communication systems. Modern video communication systems currently adopt cooperative communication and orthogonal frequency division multiplexing (OFDM) as they are an attractive solution to combat fading in wireless communication systems and achieve high data-rates. However, this strong motivation to transmit the video signals over wireless systems faces many
challenges. These are mainly channel bandwidth limitations, variations of signal-to-noise ratio
(SNR) in wireless channels, and the impairments in the physical layer such as time varying phase noise (PHN), and carrier frequency offset (CFO). In response to these challenges, this thesis seeks to develop efficient 3-D video transmission methods and signal processing algorithms that can overcome the effects of error-prone wireless channels and impairments in the physical layer.

In the first part of the thesis, an efficient unequal error protection (UEP) scheme, called video packet partitioning, and a new 3-D video transceiver structure are proposed. The proposed video transceiver uses switching operations between various UEP schemes based on the packet partitioning to achieve a trade- off between system complexity and performance. Experimental results show that
the proposed system achieves significantly high video quality at different SNRs with the lowest possible bandwidth and system complexity compared to direct transmission schemes.

The second part of the thesis proposes a new approach to joint source-channel coding (JSCC) that simultaneously assigns source code rates, the number of high and low priority packets, and channel code rates for the application, network, and physical layers, respectively. The proposed JSCC algorithm takes into account the rate budget constraint and the available instantaneous SNR of the best relay selection in cooperative systems. Experimental results show that the proposed JSCC algorithm outperforms existing algorithms in terms of peak signal-to-noise ratio (PSNR).

In the third part of the thesis, a computationally efficient training based approach for joint channel, CFO, and PHN estimation in OFDM systems is pro- posed. The proposed estimator is based on an expectation conditional maximization (ECM) algorithm. To compare the
estimation accuracy of the proposed estimator, the hybrid Cram´er-Rao lower bound (HCRB) of hybrid parameters of interest is derived. Next, to detect the signal in the presence of PHN, an iterative receiver based on the extended Kalman filter (EKF) for joint data detection and PHN mitigation is proposed. It is demonstrated by numerical simulations that, compared to existing algorithms, the
performance of the proposed ECM-based estimator in terms of the mean square error (MSE) is closer to the derived HCRB and outperforms the existing estimation algorithms at moderate-to-high SNRs. Finally, this study extends the research on joint channel, PHN, and CFO estimation one step
forward from OFDM systems to cooperative OFDM systems. An iterative algorithm based on the ECM in cooperative OFDM networks in the presence of unknown channel gains, PHNs and CFOs is applied. Moreover, the HCRB for the joint estimation problem in both decode-and-forward (DF) and
amplify-and-forward (AF) relay systems is presented. An iterative algorithm based on the EKF for data detection and tracking the unknown time-varying PHN throughout the OFDM data packet is also used. For more efficient 3-D video transmission, the estimation algorithms and UEP schemes based packet portioning were combined to achieve a more robust video bit stream in the presence of PHNs. Applying this combination, simulation results demonstrate that promising bit-error-rate (BER) and PSNR performance can be achieved at the destination at different SNRs and PHN variance.

The proposed schemes and algorithms offer solutions for existing problems in the techniques for applications to 3-D video transmission.

Keywordssignal processing, three-dimensional video transmission
ANZSRC Field of Research 2020400699. Communications engineering not elsewhere classified
400607. Signal processing
400608. Wireless communication systems and technologies (incl. microwave and millimetrewave)
Byline AffiliationsSchool of Mechanical and Electrical Engineering
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Related outputs

Cross-layer optimization for 3-D video transmission over cooperative relay systems
Salim, Omar H., Xiang, Wei, Leis, John and Cao, Lei. 2014. "Cross-layer optimization for 3-D video transmission over cooperative relay systems." Signal Processing: Image Communication. 29 (10), pp. 1102-1120. https://doi.org/10.1016/j.image.2014.08.003
Channel, phase noise, and frequency offset in OFDM systems: joint estimation, data detection, and hybrid Cramer-Rao lower bound
Salim, Omar Hazim, Nasir, Ali A., Mehrpouyan, Hani, Xiang, Wei, Durrani, Salman and Kennedy, Rodney A.. 2014. "Channel, phase noise, and frequency offset in OFDM systems: joint estimation, data detection, and hybrid Cramer-Rao lower bound." IEEE Transactions on Communications. 62 (9), pp. 3311-3325. https://doi.org/10.1109/TCOMM.2014.2345056
Joint channel, phase noise, and carrier frequency offset estimation in cooperative OFDM systems
Salim, Omar H., Nasir, Ali A., Xiang, Wei and Kennedy, Rodney A.. 2014. "Joint channel, phase noise, and carrier frequency offset estimation in cooperative OFDM systems." IEEE International Conference On Communications (ICC 2014): Communications: Centrepoint of the Digital Economy. Sydney, Australia 10 - 14 Jun 2014 Piscataway, NJ. United States.
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Salim, Omar Hazim, Xiang, Wei and Leis, John. 2013. "An Efficient Unequal Error Protection Scheme for 3-D Video Transmission." You, Xiaohu (ed.) IEEE Wireless Communications and Networking Conference (WCNC 2013): Connecting the Future. Shanghai, China 07 - 10 Apr 2013 United States. https://doi.org/10.1109/WCNC.2013.6555230
Phase noise and carrier frequency offset in OFDM systems: joint estimation and hybrid Cramer-Rao lower bound
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Prioritized 3-D video transmission over cooperative MIMO-OFDM systems
Salim, Omar Hazim and Xiang, Wei. 2011. "Prioritized 3-D video transmission over cooperative MIMO-OFDM systems." Bradley, Andrew, Gal, Yaniv and Salvado, Olivier (ed.) 2011 International Conference on Digital Image Computing: Techniques and Application (DICTA 2011). Noosa, Australia 06 - 08 Dec 2011 Los Alamitos, CA. United States. https://doi.org/10.1109/DICTA.2011.44
Error-resilient video transmission for 3-D signal over cooperative-MIMO system
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