We present DeepWiVe , the first-ever end-to-end joint source-channel coding (JSCC) video transmission scheme that leverages the power of deep neural networks (DNNs) to directly map video signals to channel symbols, combining video compression, channel coding, and modulation steps into a single neural transform. Our DNN decoder predicts residuals without distortion feedback, which improves the video quality by accounting for occlusion/disocclusion and camera movements. We simultaneously train different bandwidth allocation networks for the frames to allow variable bandwidth transmission. Then, we train a bandwidth allocation network using reinforcement learning (RL) that optimizes the allocation of limited available channel bandwidth among v...
We consider wireless transmission of images in the presence of channel output feedback. From a Shann...
Several research groups worldwide are currently investigating how deep learning may advance the stat...
This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSC...
We present DeepWiVe, the first-ever end-to-end joint source-channel coding (JSCC) video transmission...
We present DeepWiVe, the first-ever end-to-end joint source-channel coding (JSCC) video transmission...
In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to ...
We propose a joint source and channel coding (JSCC) technique for wireless image transmission that d...
Recent works have shown that the task of wireless transmission of images can be learned with the use...
We propose a novel joint source and channel coding (JSCC) scheme for wireless image transmission th...
Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (...
We propose deep learning based communication methods for adaptive-bandwidth transmission of images o...
Shannon’s source and channel-coding separation theorem has been the basic philosophy followed by mos...
Video data has emerged as the top contributor to the global internet traffic, and video compression ...
We introduce deep learning based communication methods for successive refinement of images over wire...
State-of-the-art performance for many emerging edge applications is achieved by deep neural networks...
We consider wireless transmission of images in the presence of channel output feedback. From a Shann...
Several research groups worldwide are currently investigating how deep learning may advance the stat...
This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSC...
We present DeepWiVe, the first-ever end-to-end joint source-channel coding (JSCC) video transmission...
We present DeepWiVe, the first-ever end-to-end joint source-channel coding (JSCC) video transmission...
In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to ...
We propose a joint source and channel coding (JSCC) technique for wireless image transmission that d...
Recent works have shown that the task of wireless transmission of images can be learned with the use...
We propose a novel joint source and channel coding (JSCC) scheme for wireless image transmission th...
Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (...
We propose deep learning based communication methods for adaptive-bandwidth transmission of images o...
Shannon’s source and channel-coding separation theorem has been the basic philosophy followed by mos...
Video data has emerged as the top contributor to the global internet traffic, and video compression ...
We introduce deep learning based communication methods for successive refinement of images over wire...
State-of-the-art performance for many emerging edge applications is achieved by deep neural networks...
We consider wireless transmission of images in the presence of channel output feedback. From a Shann...
Several research groups worldwide are currently investigating how deep learning may advance the stat...
This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSC...