A3C Based Dynamic BitRate for Video Streaming in 5G Edge Assisted D2D Communication Using H.266 With Conv-DBN

A3C Based Dynamic BitRate for Video Streaming in 5G Edge Assisted D2D Communication Using H.266 With Conv-DBN
  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2022 by IJETT Journal
Volume-70 Issue-1
Year of Publication : 2022
Authors : M. Muni Babu, Dr. R. Praveen Sam, Dr. P. Chenna Reddy
DOI :  10.14445/22315381/IJETT-V70I1P211

How to Cite?

M. Muni Babu, Dr. R. Praveen Sam, Dr. P. Chenna Reddy, "A3C Based Dynamic BitRate for Video Streaming in 5G Edge Assisted D2D Communication Using H.266 With Conv-DBN," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 95-107, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P211

Abstract
In 5G wireless networks, video streaming is challenging due to high video content consumption with higher resolutions. Video compressing technology is used to solve this problem. Due to the increasing of video-based applications, and the network faces high traffic issues that reduce video quality. To avoid this problem, D2D communication is introduced in a wireless network that communicates directly to the devices without any intermediate nodes, thus reducing traffic and enhancing video quality and performance of network cellular. To address these issues, we proposed the A3C-DBVS (A3CDynamic Bitrate for Video Streaming) method, which has five consecutive phases: high-quality video encoding, adaptive bitrate changing, and multipath selection, task offloading, and D2D based virtual clustering. Firstly, we perform video encoding to compress the video using the Conv-DBN-based H.266 video encoding technique, which compressed the video without reducing the quality. Secondly, the bitrate is adapted during video streaming to improve the video quality using the A3C algorithm by considering video priority level and SLA constraints. Thirdly, we proposed a multipath selection method to select the best path between source and destination using the best fitness-based equilibrium optimizer algorithm, thus reducing high packet loss during video streaming. Fourth, we proposed task offloading. If any latency is occurring during video streaming, the edge performs task offloading to avoid congestion problems. For that, this process used a delay-based task distribution algorithm. And finally, we proposed D2D based virtual clustering, thus increasing video quality and reducing congestion or traffic in the network. For D2D pairing, we create virtual clusters using Advance Fuzzy C Means (Advanced FCM) algorithm. The simulation is conducted in the NS3.26 network simulator, which evaluates the performance based on performance metrics such as throughput, latency, cluster purity, energy consumption, path fitness, PSNR, MOS, packet loss rate, and Goodput and jitter, and bandwidth utilization.

Keywords
Virtual cluster-based D2D, Adaptive bitrate changing, and video streaming. 5G, Edge, Video encoding (H.266), task offloading.

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