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Adaptive Wireless Video Streaming: Joint Transcoding and Transmission Resource Allocation

This is the implementations related to our paper "Adaptive Wireless Video Streaming: Joint Transcoding and Transmission Resource Allocation", accepted by IEEE Transcation on Wireless Communication. pdf

Requirements and Installation

We recommended the following dependencies.

  • Python 3.6
  • Pytorch 1.5.0+cu101
  • CUDA 10.1

About Authors

Shuoyao Wang, sywang[AT]szu[DOT]edu[DOT]cn :Shuoyao Wang received the B.Eng. degree (with first class Hons.) and the Ph.D degree in information engineering from The Chinese University of Hong Kong, Hong Kong, in 2013 and 2018, respectively. From 2018 to 2020, he was an senior researcher with the Department of Risk Management, Tencent, Shenzhen, China. Since 2020, he has been with the College of Electronic and Information Engineering, Shenzhen University, Shenzhen, China, where he is currently an Assistant Professor. His research interests include optimization theory, operational research, and machine learning in Multimedia Processing, Smart Grid, and Communications.

Suzhi Bi, bsz@szu.edu.cn

Ying-jun Angela Zhang, IEEE Fellow, yjzhang@ie.cuhk.edu.hk

Citation Format

If the implementation helps, you might citate the work with the following foramt:

@ARTICLE{9580665, author={Wang, Shuoyao and Bi, Suzhi and Zhang, Ying-Jun Angela}, journal={IEEE Transactions on Wireless Communications}, title={Adaptive Wireless Video Streaming: Joint Transcoding and Transmission Resource Allocation}, year={2021}, volume={}, number={}, pages={1-1}, doi={10.1109/TWC.2021.3119401}}

Thank You for Reading!!!

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