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 …

Existing one-bit direction of arrival (DOA) estimate methods based on sparse recovery or
subspace have issues when used for massive uniform linear arrays (MULAs), such as high …

Low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) have
attracted considerable attention in efforts to reduce power consumption in millimeter wave …

The use of 1-bit analog-to-digital converters (ADCs) is seen as a promising approach to
significantly reduce the power consumption and hardware cost of multiple-input multiple …

Millimeter wave systems suffer from high power consumption and are constrained to use low
resolution quantizers—digital to analog and analog to digital converters (DACs and ADCs) …

Millimeter wave systems rely on narrow beams (beamforming) and dense cell deployments
for reliable communication. Tracking these beams from multiple cells can increase power …

In this paper, we study the joint transmit waveform and receive filter design for massive
multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) sys-tems …

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

Utilizing low-resolution analog-to-digital converters (ADCs) in uplink massive multiple-input
multiple-output (MIMO) systems is a practical solution to decrease power consumption. The …

We address the problem of data detection for the multiple-input multiple-output (MIMO)
channel employing one-bit quantizers at the receiver, taking into account different settings of …