Cross-layer optimization for 3-D video transmission over cooperative relay systems |
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| Affiliation: | 1. School of Mechanical and Electrical Engineering, University of Southern Queensland, Toowoomba, QLD 4350, Australia;2. Computer Engineering Department, University of Mosul, Mosul, Iraq;3. Department of Electrical Engineering, University of Mississippi, University, MS 38677, USA;1. Communication Research Center, Harbin Institute of Technology, Harbin 150001, China;2. School of Mechanical and Electrical Engineering, University of Southern Queensland, Toowoomba, QLD 4350, Australia;3. Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China;1. Department of EE, Arizona State University, AZ, USA;2. Department of ECE, SSN Institutions, Chennai, India;3. Department of Mobile Communications, Eurecom, Sophia Antipolis, Telecom Paristech, France;1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China;2. Department of Computer Science, College of William and Mary, Williamsburg, Virginia 23187, USA;3. Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai 200240, China;1. Department of Immunology, University of Connecticut Health Center, University of Connecticut Heath Center, MC3710 263 Farmington Avenue, Farmington, CT 06030, USA;2. Department of Molecular & Cell Biology, University of Connecticut, 91 North Eagleville Road, Unit 3125, Storrs, CT 06269-3125, USA |
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| Abstract: | The rate budget constraint and the available instantaneous signal-to-noise ratio of the best relay selection in cooperative systems can dramatically impact the system performance and complexity of video applications, since they determine the video distortion. By taking into account these constrained factors, we first outline the signal model and formulate the system optimization problem. Next, we propose a new approach to cross-layer optimization for 3-D video transmission over cooperative relay systems. We propose procedures for estimation of the end-to-end instantaneous signal-to-noise ratio using an estimate of the available instantaneous signal-to-noise ratios between the source–destination, and source–relay–destination before starting to send the video signal to the best relay and destination. A novel approach using Lagrange multipliers is developed to solve the optimum bit allocation problem. Based on the rate budget constraint and the estimated the end-to-end instantaneous signal-to-noise ratio, the proposed joint source–channel coding (JSCC) algorithm simultaneously assigns source code rates for the application layer, the number of high and low priority packets for the network layer, and channel code rates for the physical layer based on criteria that maximize the quality of video, whilst minimizing the complexity of the system. Finally, we investigate the impact of the estimated the end-to-end instantaneous signal-to-noise ratio on the video system performance and complexity. Experimental results show that the proposed JSCC algorithm outperforms existing algorithms in terms of peak signal-to-noise ratio. Moreover, the proposed JSCC algorithm is found to be computationally more efficient since it can minimize the overall video distortion in a few iterations. |
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| Keywords: | Cooperative relay systems 3-D video JSCC Lagrange multiplier |
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