Distortion-less video wireless transmission in 5G new radio using delay-distortion-rate optimization (DDRO)

In this paper, a novel strategy of video communication over a 5G platform of new radio (NR) is developed, and it is named ViNR. With the support of optimization on the ViNR quality of service (QoS) system design, we stretched the outdated R-D optimization to a novel delay-distortion-rate optimization (DDRO) control method. The entire model is partitioned with two types of coding: source coding and channel coding. For source coding, we affianced the inter-frame prediction method of independent predicted frames (IPPPP) with Lagrange multiplier optimization. Channel coding is intricate with the minimization of delay-distortion and getting the most out of the rate using resource allocation optimization in terms of sub-slice allocation. To perform this sub-slice resource assignment with optimization of DDR, the isolation resource allocation is premeditated in this work to ensure the service level profile of various groups of resource slots or grids dealing with the subject of middling delay and rate. The widespread simulation results divulge that the proposed algorithm NR-DDRO achieves better QoS parameters of delay, distortion, and rate with the metrics of end-to-end distortion, encoding Y-PSNR, encoding bit rate, encoding time, end-to-end PSNR, optimization time, and complete computation time.