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作 者:Khadem Ullah Nasru Minallah Durre Nayab Ishtiaque Ahmed Jaroslav Frnda Jan Nedoma
机构地区:[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,01026,Zilina,Slovakia [4]Department of Telecommunications,Faculty of Electrical Engineering and Computer Science,VSB-Technical University of Ostrava,Ostrava-Poruba,Czech Republic
出 处:《Computers, Materials & Continua》2023年第1期995-1010,共16页计算机、材料和连续体(英文)
基 金:supported by the Ministry of Education of the Czech Republic(Project No.SP2022/18 and No.SP2022/5);by the European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project,project number CZ.02.1.01/0.0/0.0/16019/0000867 within the Operational Programme Research,Development,and Education.
摘 要: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)/N_(0) gain of 1.5 dB while convolutional codes outperformcompared to SCC codes with an E_(b)/N_(0) gain of 3.5 dBatBit ErrorRate(BER)of 10−4.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)/N_(0) value of 4.5 dB.
关 键 词:H.265 RSC turbo codes SCC SP-DSTS BP-CNN BER PSNR
分 类 号:TN925[电子电信—通信与信息系统]
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