Cross-layer optimized authentication and error control for wireless 3D medical video streaming over LTE |
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| Affiliation: | 1. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, 100093 Beijing, China;2. Zhejiang Wanli University, Ningbo, China;3. University of Thessaly, Volos, Greece;4. University of Nebraska-Lincoln, Omaha, USA;1. University of Thessaly Department of Computer Science and Biomedical Informatics, Lamia, Greece;2. University of Piraeus, Department of Digital Systems, Piraeus, Greece;1. Department of Mathematics, University of Kaiserslautern, Kaiserslautern, Germany;2. Fraunhofer ITWM, Kaiserslautern, Germany;1. Department of Copyright Protection, Sangmyung University, Seoul, Korea;2. Department of Contents and Copyright, Sangmyung University, Seoul, Korea;1. School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China;2. Department of Electrical Engineering, COMSATS Institute of Information Technology, Lahore 54000, Pakistan;3. Roshni Re-cycle Institute of Research and Technology, Gilgit Baltistan 15100, Pakistan;1. Manipal University, Manipal Institute of Technology, Department of Electrical and Electronics Engineering, 576104, India;2. National Institute of Technology Karnataka, Department of Electronics and Communication Engineering, Surathkal 575025, India |
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| Abstract: | 3D video for tele-medicine applications is gradually gaining momentum since the 3D technology can provide precise location information. However, the weak link for 3D video streaming is the necessary wireless link of the communication system. Neglecting the wireless impairments can severely degrade the performance of 3D video streaming that communicates complex critical medical data. In this paper, we propose systematic methodology for ensuring high performance of the 3D medical video streaming system. First, we present a recursive end-to-end distortion estimation approach for MVC (multiview video coding)-based 3D video streaming over error-prone networks by considering the 3D inter-view prediction. Then, based on the previous model, we develop a cross-layer optimization scheme that considers the LTE wireless physical layer (PHY). In this optimization, the authentication requirements of 3D medical video are also taken into account. The proposed cross-layer optimization approach jointly controls and manages the authentication, video coding quantization of 3D video, and the modulation and channel coding scheme (MCS) of the LTE wireless PHY to minimize the end-to-end video distortion. Experimental results show that the proposed approach can provide superior 3D medical video streaming performance in terms of peak signal-to-noise ratio (PSNR) when compared to state-of-the-art approaches that include joint source-channel optimized streaming with multi-path hash-chaining based-authentication, and also conventional video streaming with single path hash-chaining-based authentication. |
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| Keywords: | Cross-layer optimization 3D medical video Authentication LTE Error control |
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