Task-oriented sensing, computation, and communication integration for multi-device edge AI
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 …
exploits the AI model split inference and integrated sensing and communication (ISAC) to …
Deep task-based quantization
N Shlezinger, YC Eldar - Entropy, 2021 - mdpi.com
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 …
shown that the performance of acquiring multiple analog signals using scalar analog-to …
LoRD-Net: Unfolded deep detection network with low-resolution receivers
S Khobahi, N Shlezinger… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …
measurements is widely encountered in communications and sensing. In this paper, we …
Power-efficient hybrid MIMO receiver with task-specific beamforming using low-resolution ADCs
Multiple-input multiple-output (MIMO) systems utilize multiple antennas and signal
acquisition chains, facilitating multi-user communications with increased spectral efficiency …
acquisition chains, facilitating multi-user communications with increased spectral efficiency …
Graph signal compression by joint quantization and sampling
P Li, N Shlezinger, H Zhang, B Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Graph signals arise in various applications, ranging from sensor networks to social media
data. The high-dimensional nature of these signals implies that they often need to be …
data. The high-dimensional nature of these signals implies that they often need to be …
Design and analysis of hardware-limited non-uniform task-based quantizers
NI Bernardo, J Zhu, YC Eldar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …
systems equipped with serial scalar analog-to-digital converters using a small number of …
Bit constrained communication receivers in joint radar communications systems
Dual function radar and communications (DFRC) systems are the focus of growing research
attention. The common DFRC setup considers simultaneous probing and information …
attention. The common DFRC setup considers simultaneous probing and information …
BiLiMO: Bit-limited MIMO radar via task-based quantization
Recent years have witnessed growing interest in reduced cost radar systems operating with
low power. Multiple-input multiple-output (MIMO) radar technology is known to achieve high …
low power. Multiple-input multiple-output (MIMO) radar technology is known to achieve high …
Information Compression in the AI Era: Recent Advances and Future Challenges
This survey articles focuses on emerging connections between the fields of machine
learning and data compression. While fundamental limits of classical (lossy) data …
learning and data compression. While fundamental limits of classical (lossy) data …
Deep task-based analog-to-digital conversion
N Shlezinger, A Amar, B Luijten… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Analog-to-digital converters (ADCs) allow physical signals to be processed using digital
hardware. Their conversion consists of two stages: Sampling, which maps a continuous-time …
hardware. Their conversion consists of two stages: Sampling, which maps a continuous-time …