This paper studies a new multi-device edge artificial-intelligent (AI) system, which jointly
exploits the AI model split inference and integrated sensing and communication (ISAC) to …

Quantizers play a critical role in digital signal processing systems. Recent works have
shown that the performance of acquiring multiple analog signals using scalar analog-to …

The need to recover high-dimensional signals from their noisy low-resolution quantized
measurements is widely encountered in communications and sensing. In this paper, we …

Multiple-input multiple-output (MIMO) systems utilize multiple antennas and signal
acquisition chains, facilitating multi-user communications with increased spectral efficiency …

Hardware-limited task-based quantization is a new design paradigm for data acquisition
systems equipped with serial scalar analog-to-digital converters using a small number of …

Dual function radar and communications (DFRC) systems are the focus of growing research
attention. The common DFRC setup considers simultaneous probing and information …

Multiple-input multiple-output (MIMO) systems exploit spatial diversity to facilitate multi-user
communications with high spectral efficiency by beamforming. As MIMO systems utilize …

Collaborative perception allows each agent to enhance its perceptual abilities by
exchanging messages with others. It inherently results in a trade-off between perception …

In recent years, automotive radar has attracted considerable attention due to the growing
interest in autonomous driving technologies. Acquiring situational awareness using …

Quantization plays a critical role in digital signal processing systems, allowing the
representation of continuous-amplitude signals with a finite number of bits. However …