7 citations · 9 across the 17 of their papers we have counts for
8 papers · 1 filter
In-Context Learning for Deep Joint Source-Channel Coding Over MIMO Channels
Meng Hua, Wenjing Zhang, Chenghong Bian +1
Large language models have demonstrated the ability to perform \textit{in-context learning} (ICL), whereby the model performs predictions by directly mapping the query and a few ex…
Towards AI-Native Fronthaul: Neural Compression for NextG Cloud RAN
Chenghong Bian, Yulin Shao, Deniz Gunduz
The rapid growth of data traffic and the emerging AI-native wireless architectures in NextG cellular systems place new demands on the fronthaul links of Cloud Radio Access Networks…
Over-the-Air Inference over Multi-hop MIMO Networks
Chenghong Bian, Meng Hua, Deniz Gunduz
A novel over-the-air machine learning framework over multi-hop multiple-input and multiple-output (MIMO) networks is proposed. The core idea is to imitate fully connected (FC) neur…
CRC-Assisted Channel Codes for Integrated Passive Sensing and Communications
Chenghong Bian, Kaitao Meng, Huihui Wu +2
We propose a novel coded integrated passive sensing and communication (CIPSAC) system with orthogonal frequency division multiplexing (OFDM), where a multi-antenna base station (BS…
LISAC: Learned Coded Waveform Design for ISAC with OFDM
Chenghong Bian, Yumeng Zhang, Meng Hua +2
We propose deep learning based coded waveform design for integrated sensing and communication (ISAC) with orthogonal frequency-division multiplexing (OFDM). Our goal is to design a…
OFDM-guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels
Mingyu Yang, Chenghong Bian, Hun-Seok Kim
We investigate joint source channel coding (JSCC) for wireless image transmission over multipath fading channels. Inspired by recent works on deep learning based JSCC and model-bas…