Search Results for author: Chenghong Bian

Found 9 papers, 5 papers with code

Process-and-Forward: Deep Joint Source-Channel Coding Over Cooperative Relay Networks

no code implementations15 Mar 2024 Chenghong Bian, Yulin Shao, Haotian Wu, Emre Ozfatura, Deniz Gunduz

In the proposed scheme, the source transmits information in blocks, and the relay updates its knowledge about the input signal after each block and generates its own signal to be conveyed to the destination.

Image Compression

Point Cloud in the Air

no code implementations1 Jan 2024 Yulin Shao, Chenghong Bian, Li Yang, Qianqian Yang, Zhaoyang Zhang, Deniz Gunduz

Acquisition and processing of point clouds (PCs) is a crucial enabler for many emerging applications reliant on 3D spatial data, such as robot navigation, autonomous vehicles, and augmented reality.

Autonomous Vehicles Robot Navigation

A Hybrid Joint Source-Channel Coding Scheme for Mobile Multi-hop Networks

no code implementations13 Nov 2023 Chenghong Bian, Yulin Shao, Deniz Gunduz

To this end, we propose a hybrid solution, where DeepJSCC is adopted for the first hop, while the received signal at the first relay is digitally compressed and forwarded through the mobile core network.

Wireless Point Cloud Transmission

1 code implementation14 Jun 2023 Chenghong Bian, Yulin Shao, Deniz Gunduz

3D point cloud is a three-dimensional data format generated by LiDARs and depth sensors, and is being increasingly used in a large variety of applications.

DeepJSCC-l++: Robust and Bandwidth-Adaptive Wireless Image Transmission

1 code implementation22 May 2023 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 bandwidth ratios as well as different channel signal-to-noise ratios (SNRs) using a single model.

Space-time design for deep joint source channel coding of images Over MIMO channels

1 code implementation30 Oct 2022 Chenghong Bian, Yulin Shao, Haotian Wu, Deniz Gunduz

We propose novel deep joint source-channel coding (DeepJSCC) algorithms for wireless image transmission over multi-input multi-output (MIMO) Rayleigh fading channels, when channel state information (CSI) is available only at the receiver.

OFDM-guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels

1 code implementation11 Sep 2021 Mingyu Yang, Chenghong Bian, Hun-Seok Kim

We investigate joint source channel coding (JSCC) for wireless image transmission over multipath fading channels.

Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM

2 code implementations5 Jan 2021 Mingyu Yang, Chenghong Bian, Hun-Seok Kim

We present a deep learning based joint source channel coding (JSCC) scheme for wireless image transmission over multipath fading channels with non-linear signal clipping.

BIG-bench Machine Learning

FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6GHz Channel and A Few Pilots

no code implementations6 Sep 2020 Chenghong Bian, Yuwen Yang, Feifei Gao, Geoffrey Ye Li

In this paper, we propose a new downlink beamforming strategy for mmWave communications using uplink sub-6GHz channel information and a very few mmWave pilots.

Data Augmentation

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