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2018 International Conference on Computing, Networking and Communications (ICNC) (2018)
Maui, HI, USA
March 5, 2018 to March 8, 2018
ISBN: 978-1-5386-3653-4
pp: 463-467
Lingyu Liu , College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
Jun Wu , College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
Jian Wu , College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
ABSTRACT
The explosively growing wireless video traffic demands high video quality and transmission efficiency. A new scheme for video transmission over channel with noise is proposed in this paper. Like standard video transmission, the scheme includes entropy coding followed by powerful channel coding. Unlike conventional schemes, we use a rateless coded modulation scheme instead of adaptive modulation coding (AMC) in traditional digital video transmitting to solve the dilemma of inaccurate channel estimation. The proposed rateless scheme does not need the explicit channel condition, it matches channel condition implicitly. We optimize the proposed system over GF(2). Performance comparisons are made with respect to the state-of-the-art video coding and channel coding scheme used in Long Term Evolution (LTE) mobile network. Experiments show that the proposed system outperforms LTE by 2–3dB.
INDEX TERMS
Quantization (signal), Channel coding, Wireless communication, Modulation, Receivers, Transmitters
CITATION

L. Liu, J. Wu and J. Wu, "COQRC: A Rateless Video Transmission Solution," 2018 International Conference on Computing, Networking and Communications (ICNC), Maui, HI, USA, 2018, pp. 463-467.
doi:10.1109/ICCNC.2018.8390356
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