Open Access

ARTICLE

SP-DSTS-MIMO Scheme-Aided H.266 for Reliable High Data Rate Mobile Video Communication

by Khadem Ullah^1,*, Nasru Minallah¹, Durre Nayab¹, Ishtiaque Ahmed², Jaroslav Frnda^3,4, Jan Nedoma⁴

1 Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, 25000, Pakistan
2 National Centre in Big Data and Cloud Computing, University of Engineering and Technology Peshawar (NCBC-UETP), Peshawar, 25000, Pakistan
3 Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26, Zilina, Slovakia
4 Department of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

* Corresponding Author: Khadem Ullah. Email:

Computers, Materials & Continua 2023, 74(1), 995-1010. https://doi.org/10.32604/cmc.2023.030531

Received 28 March 2022; Accepted 10 June 2022; Issue published 22 September 2022

Abstract

With the ever growth of Internet users, video applications, and massive data traffic across the network, there is a higher need for reliable bandwidth-efficient multimedia communication. Versatile Video Coding (VVC/H.266) is finalized in September 2020 providing significantly greater compression efficiency compared to Highest Efficient Video Coding (HEVC) while providing versatile effective use for Ultra-High Definition (HD) videos. This article analyzes the quality performance of convolutional codes, turbo codes and self-concatenated convolutional (SCC) codes based on performance metrics for reliable future video communication. The advent of turbo codes was a significant achievement ever in the era of wireless communication approaching nearly the Shannon limit. Turbo codes are operated by the deployment of an interleaver between two Recursive Systematic Convolutional (RSC) encoders in a parallel fashion. Constituent RSC encoders may be operating on the same or different architectures and code rates. The proposed work utilizes the latest source compression standards H.266 and H.265 encoded standards and Sphere Packing modulation aided differential Space Time Spreading (SP-DSTS) for video transmission in order to provide bandwidth-efficient wireless video communication. Moreover, simulation results show that turbo codes defeat convolutional codes with an averaged E_b/N₀ gain of 1.5 dB while convolutional codes outperform compared to SCC codes with an E_b/N₀ gain of 3.5 dB at Bit Error Rate (BER) of . The Peak Signal to Noise Ratio (PSNR) results of convolutional codes with the latest source coding standard of H.266 is plotted against convolutional codes with H.265 and it was concluded H.266 outperform with about 6 dB PSNR gain at E_b/N₀ value of 4.5 dB.

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Keywords

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