学在北邮

/ Study in BUPT

Deep Learning in Physical Layer Communications

主讲人 :Geoffrey Ye Li教授(IEEE Fellow) 地点 :教三811 开始时间 : 2019-07-02 10:00 结束时间 : 2019-07-02 11:30

摘要: 

It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.

 

该讲座为前沿讲座,欢迎全校师生踊跃参加。

 

 

校学术委员会

信息与通信工程学院

信息网络体系构建与融合学科创新引智基地

                               201971

 


附主讲人概况: