7 papers · 1 filter
P-WRFGS: Pruning 3D Gaussians for Efficient Wireless Radiance Field Construction
Chenghong Bian, Meng Hua, Deniz Gunduz
Wireless channel modeling is a key building block for next-generation wireless systems. Predicting the channel state information (CSI) across different transmitter locations can su…
Realization of a Fully Connected Neural Layer Over-the-Air through Multi-hop Amplify-and-Forward Relays
Tolga Girici, Meng Hua, Deniz Gündüz
We study the problem of implementing a fully-connected layer of a neural network using wireless over-the-air computing. We assume a multi hop system with a multi-antenna transmitte…
Pilot Allocation for Multi-Hop Over-the-Air Neural Inference under Imperfect CSI
Tolga Girici, Meng Hua, Deniz Gündüz
A multi-hop amplify-and-forward (AF) relay network can emulate a fully connected (FC) neural network layer via over-the-air (OTA) computation. However, achieving high emulation acc…
Relay-Assisted Activation-Integrated SIM for Wireless Physical Neural Networks
Meng Hua, Deniz Gündüz
Wireless physical neural networks (WPNNs) have emerged as a promising paradigm for performing neural computation directly in the physical layer of wireless systems, offering low la…
Wireless Physical Neural Networks (WPNNs): Opportunities and Challenges
Meng Hua, Itsik Bergel, Tolga Girici +2
Wireless communication systems exhibit structural and functional similarities to neural networks: signals propagate through cascaded elements, interact with the environment, and un…
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…