A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing

As we know, the video transmission traffic already constitutes 60% of Internet downlink traffic. The optimization of video transmission efficiency has become an important challenge in the network. This paper designs a video transmission optimization strategy that takes reinforcement learning and edg...

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Autores principales:	Nan Hu, Xuming Cen, Fangjun Luan, Liangliang Sun, Chengdong Wu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/dcf394a7d97e446cb6036227ef719c45
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spelling	oai:doaj.org-article:dcf394a7d97e446cb6036227ef719c452021-11-08T02:35:35ZA Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing1875-905X10.1155/2021/6258200https://doaj.org/article/dcf394a7d97e446cb6036227ef719c452021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6258200https://doaj.org/toc/1875-905XAs we know, the video transmission traffic already constitutes 60% of Internet downlink traffic. The optimization of video transmission efficiency has become an important challenge in the network. This paper designs a video transmission optimization strategy that takes reinforcement learning and edge computing (TORE) to improve the video transmission efficiency and quality of experience. Specifically, first, we design the popularity prediction model for video requests based on the RL (reinforcement learning) and introduce the adaptive video encoding method for optimizing the efficiency of computing resource distribution. Second, we design a video caching strategy, which adopts EC (edge computing) to reduce the redundant video transmission. Last, simulations are conducted, and the experimental results fully demonstrate the improvement of video quality and response time.Nan HuXuming CenFangjun LuanLiangliang SunChengdong WuHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Nan Hu Xuming Cen Fangjun Luan Liangliang Sun Chengdong Wu A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing
description	As we know, the video transmission traffic already constitutes 60% of Internet downlink traffic. The optimization of video transmission efficiency has become an important challenge in the network. This paper designs a video transmission optimization strategy that takes reinforcement learning and edge computing (TORE) to improve the video transmission efficiency and quality of experience. Specifically, first, we design the popularity prediction model for video requests based on the RL (reinforcement learning) and introduce the adaptive video encoding method for optimizing the efficiency of computing resource distribution. Second, we design a video caching strategy, which adopts EC (edge computing) to reduce the redundant video transmission. Last, simulations are conducted, and the experimental results fully demonstrate the improvement of video quality and response time.
format	article
author	Nan Hu Xuming Cen Fangjun Luan Liangliang Sun Chengdong Wu
author_facet	Nan Hu Xuming Cen Fangjun Luan Liangliang Sun Chengdong Wu
author_sort	Nan Hu
title	A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing
title_short	A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing
title_full	A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing
title_fullStr	A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing
title_full_unstemmed	A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing
title_sort	novel video transmission optimization mechanism based on reinforcement learning and edge computing
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/dcf394a7d97e446cb6036227ef719c45
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A Novel Video Transmission Optimization Mechanism Based on Reinforcement Learning and Edge Computing

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