Design of Robust Video Transmission System by Using Efficient Forward Error Correction Scheme
Design of Robust Video Transmission System
DOI:
https://doi.org/10.53560/PPASA(58-4)767Keywords:
YUV, Error Correction Codes, Convolution Codes, Low Density Parity Check Codes, Concatenated Code, Turbo Code, BER, PSNRAbstract
The advent of modern digital technologies has made multimedia communication systems one of the most demanding technologies of the time. The use of available bandwidth for efficient and errorless multimedia communication is the key challenge for the wireless communication research community. However, a wireless network has the disadvantage of being prone to random channel noise and data contamination. This paper proposes a robust video transmission framework by using an efficient forward error correction technique. In this work, the experimental performance of widely used forward error correction codes i.e., Convolution codes, LDPC codes, Turbo codes, and Concatenated codes, are compared based on their capability to compensate the channel noise and distortion. An efficient encoding scheme is devised for the transmission of YUV encoded frames by using the selected FEC codes in a noisy channel environment. The retrieved video is analysed by using the Peak Signal-to-Noise ratio and bit error rate as performance metrics. The results and cross comparison shows that concatenated codes have a handsome improvement in avoiding channel contamination and distortion.
References
M. C. Davey, and D. MacKay. Low-density parity check codes over gf (q). IEEE Communications Letters, 2(6):165 167, (1998).
E. Khan, A. A. Moinuddin, and Mohammed Ghanbari. Cross-layer approach for reliable transmission of wavelet coded images over portable multimedia devices. Recent Advances in Multimedia Signal Processing and Communications, pages 271 294. Springer, (2009).
H. Seferoglu, and A. Markopoulou. Opportunistic network coding for video streaming over wireless. In Packet Video 2007, pages 191 200. IEEE, (2007).
M. Zorzi. Performance of FEC and ARQ error control in bursty channels under delay constraints. Vehicular Technology Conference, 1998. VTC 98. 48th IEEE, volume 2, pages 1390 1394. IEEE, (1998).
J. G. Proakis. Digital signal processing: principles algorithms and applications. Pearson Education India, (2001).
S. Dhaliwal, N. Singh, and G. Kaur. Performance analysis of convolutional code over di erent code rates and constraint length in wireless communication. I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2017 International Conference on, pages 464 468. IEEE, (2017).
R. Gallager. Low-density parity-check codes. IRE Transactions on information theory, 8(1):21 28, (1962).
A. Gupta, M. E. Scholar, A. Jain, and P. D. Vyavahare. Analysis of error correcting capability of ldpc code over fading and non-fading channel under various parameters. Computing, Communication and Networking Technologies (ICCCNT), 2017 8th International Conference on, pages 1 5. IEEE, (2017).
K. Manolakis, M. A. Gutierrez, and V. J. Nickel. Adaptive modulation and turbo coding for 3gpp lte systems with limited feedback. Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th, pages 1 5. IEEE, (2014).
N. K. Sharanya, and S. Jayashree. Performance analysis of concatenated codes for di erent channels. Recent Trends in Electronics, Information & Communication Technology (RTEICT), IEEE International Conference on, pages 715 719. IEEE, (2016).
A. Khalil, N. Minallah, M.A. Awan, H.U. Khan and A.S. On the performance of wireless video communication using iterative joint source channel decoding and transmitter diversity gain technique. Wireless Communications and Mobile Computing, 2020.
A. Khalil, N. Minallah, I. Ahmed, K. Ullah, J. Frnda, and N Jan. Robust mobile video transmission using DSTS-SP via three-stage iterative joint source- channel decoding. Humancentric Computing and Information Sciences, 11. 2021
H.U Khan, N. Minallah, A. Masood, A. Khalil, J. Frnda, and Nedoma. Performance Analysis of Sphere Packed Aided Differential Space-Time Spreading with Iterative Source-Channel Detection. Sensors, 21(16), p.5461. (2021)
N. Minallah, K. Ullah, J. Frnda, K Cengiz and Javed. Transmitter Diversity Gain Technique Aided Irregular Channel Coding for Mobile Video Transmission. Entropy. 2021 Feb;23(2):235.
N. Minallah, K. Ullah, J. Frnda, L. Hasan, J. Nedoma . On the Performance of Video Resolution, Motion and Dynamism in Transmission Using Near- Capacity Transceiver for Wireless Communication. Entropy. 2021 May;23(5):562.
N. Minallah, I. Ahmed, M. Ijaz, A. Khan, L. Hasan, A. Rehman. On the Performance of Self- Concatenated Coding for Wireless Mobile Video Transmission Using DSTS-SP-Assisted Smart Antenna System. Wireless Communications and Mobile Computing.;2021.
H. C. Andrews, and B. R. Hunt. Digital Image Restauration. (1977).
D. Tschumperle, and R. Deriche. Constrained and unconstrained codes for vector image restoration. Proceedings of the Scandinavian Conference on Image Analysis, pages 153 160, (2001).
L. Shi, Y. Feng, B. Zhang, and H. Sun. Combination restoration for motion-blurred color videos under limited transmission bandwidth. Inter- national Journal of Image, Graphics and Signal Processing, 1(1):41, (2009).
