12 citations · 36 across the 28 of their papers we have counts for
5 papers · 1 filter
A Hybrid Joint Source-Channel Coding Scheme for Mobile Multi-hop Networks
Chenghong Bian, Yulin Shao, Deniz Gunduz
We propose a novel hybrid joint source-channel coding (JSCC) scheme for robust image transmission over multi-hop networks. In the considered scenario, a mobile user wants to delive…
Deep Joint Source-Channel Coding for Adaptive Image Transmission over MIMO Channels
Haotian Wu, Yulin Shao, Chenghong Bian +2
This paper introduces a vision transformer (ViT)-based deep joint source and channel coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple-output (M…
Over-the-Air Learning-based Geometry Point Cloud Transmission
Chenghong Bian, Yulin Shao, Deniz Gunduz
This paper presents novel solutions for the efficient and reliable transmission of point clouds over wireless channels for real-time applications. We first propose SEmatic Point cl…
Do not Interfere but Cooperate: A Fully Learnable Code Design for Multi-Access Channels with Feedback
Emre Ozfatura, Chenghong Bian, Deniz Gunduz
Data-driven deep learning based code designs, including low-complexity neural decoders for existing codes, or end-to-end trainable auto-encoders have exhibited impressive results,…
DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission
Chenghong Bian, Yulin Shao, Deniz Gunduz
This paper presents a novel vision transformer (ViT) based deep joint source channel coding (DeepJSCC) scheme, dubbed DeepJSCC-l++, which can be adaptive to multiple target bandwid…