14 papers
Multi-layer MIMO Relay as Deep Physical Neural Networks: Power Amplifiers as Activation Functions
Meng Hua, Itsik Bergel, Deniz Gündüz
Wireless physical neural networks (WPNNs) embed neural computation directly into analog hardware, offering lower energy consumption and latency than conventional digital implementa…
The Control Plant as A Communication Channel: Implicit Communication for Decentralized LQG Control
Gongpu Chen, Deniz Gündüz
We study a decentralized linear quadratic Gaussian control problem, in which a leader and a follower must steer a linear system to a target state. The target state is known only to…
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…
CNNs in the Air via Reconfigurable Intelligent Surfaces
Meng Hua, Haotian Wu, Deniz Gündüz
This paper introduces AirCNN, a novel paradigm for implementing convolutional neural networks (CNNs) via over-the-air (OTA) analog computation. By leveraging multiple reconfigurabl…
Leveraging Overfitting for Low-Complexity and Modality-Agnostic Joint Source-Channel Coding
Haotian Wu, Gen Li, Pier Luigi Dragotti +1
This paper introduces Implicit-JSCC, a novel overfitted joint source-channel coding paradigm that directly optimizes channel symbols and a lightweight neural decoder for each sourc…
Implicit Communication in Linear Quadratic Gaussian Control Systems
Gongpu Chen, Deniz Gunduz
This paper studies implicit communication in linear quadratic Gaussian control systems. We show that the control system itself can serve as an implicit communication channel, enabl…