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

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Nan Hu ◽  
Xuming Cen ◽  
Fangjun Luan ◽  
Liangliang Sun ◽  
Chengdong Wu

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.

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 181740-181749 ◽  
Author(s):  
Wenjun Wu ◽  
Yang Gao ◽  
Tianqi Zhou ◽  
Yinhua Jia ◽  
Hao Zhang ◽  
...  

2013 ◽  
Vol 760-762 ◽  
pp. 639-642
Author(s):  
Li Qiang Liu ◽  
Yue Bing Wang ◽  
Quan Feng Yan

With the rapid development of computer technology and wireless network communication technology, video encoding technology will be more and more widely applied in the limited resources of the wireless network. Due to the large amount of data of the video transmission , transmission quality of transmit video on the wireless network are varied with different compression parameters, network parameters and network conditions. Simulation results show that the transmission of video over wireless networks, must be based on the current network conditions, choosing the suitable GOP length and quantitative parameters to get the high image quality. In specific applications, network topology, network bandwidth, routing technology and transmission of packet segmentation scheme and other factors will affect the quality of service for video services.


2021 ◽  
Author(s):  
Ala Khalifeh ◽  
Karthikeyan Alakappan ◽  
Barath kumar ◽  
Jayanth Prabakaran ◽  
Prabagarane Nagaradjane

Abstract Visible light communication (VLC) is a promising technology that can jointly be used to accomplish the typical lighting functionalities of the light-emitting diodes (LEDs) and data transmission, where light intensity can be modulated on a high rate that cannot be noticed by the human eye. In this paper, a VLC simulation framework to study the effect of LEDs’ distributions on different room dimensions is proposed by considering the performance metrics such as light intensity quality in accordance with the International Organization for Standardization (ISO) recommendation, and data transmission efficiency measured in terms of bit error rate (BER). To achieve the abovementioned performance metrics, a VLC communication system is designed that modulates the data, transmits it over the room utilizing the communication channel that is modeled using an accurate ray-tracing algorithm, and receives it by exploiting different receivers that are uniformly distributed in the room. Our work is different from the other published works which either studied the data transmission efficiency or lighting quality but not both. Consequently, this study can be used as a methodological foundation to design an efficient VLC that satisfies the ISO lighting requirement, application-specific BER and quality. Furthermore, a video transmission use case has been demonstrated which shows how the video quality can be significantly improved when increasing the number of transmitters, thus justifying the need for increasing the number of transmitters in scenarios that involves video transmission in an indoor VLC environment.


Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1843
Author(s):  
Jelena Vlaović ◽  
Snježana Rimac-Drlje ◽  
Drago Žagar

A standard called MPEG Dynamic Adaptive Streaming over HTTP (MPEG DASH) ensures the interoperability between different streaming services and the highest possible video quality in changing network conditions. The solutions described in the available literature that focus on video segmentation are mostly proprietary, use a high amount of computational power, lack the methodology, model notation, information needed for reproduction, or do not consider the spatial and temporal activity of video sequences. This paper presents a new model for selecting optimal parameters and number of representations for video encoding and segmentation, based on a measure of the spatial and temporal activity of the video content. The model was developed for the H.264 encoder, using Structural Similarity Index Measure (SSIM) objective metrics as well as Spatial Information (SI) and Temporal Information (TI) as measures of video spatial and temporal activity. The methodology that we used to develop the mathematical model is also presented in detail so that it can be applied to adapt the mathematical model to another type of an encoder or a set of encoding parameters. The efficiency of the segmentation made by the proposed model was tested using the Basic Adaptation algorithm (BAA) and Segment Aware Rate Adaptation (SARA) algorithm as well as two different network scenarios. In comparison to the segmentation available in the relevant literature, the segmentation based on the proposed model obtains better SSIM values in 92% of cases and subjective testing showed that it achieves better results in 83.3% of cases.


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