SVM-based channel estimation and data detection for one-bit massive MIMO systems
LV Nguyen, AL Swindlehurst… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The use of low-resolution Analog-to-Digital Converters (ADCs) is a practical solution for
reducing cost and power consumption for massive Multiple-Input-Multiple-Output (MIMO) …
reducing cost and power consumption for massive Multiple-Input-Multiple-Output (MIMO) …
Detection and localization of one-bit signal in multiple distributed subarray systems
A multiple distributed subarray (MDS) system usually transmits the raw data to the fusion
center (FC), where the target detection and localization can be processed. Transmitting raw …
center (FC), where the target detection and localization can be processed. Transmitting raw …
Deep learning-assisted TeraHertz QPSK detection relying on single-bit quantization
TeraHertz (THz) wireless communication constitutes a promising technique of satisfying the
ever-increasing appetite for high-rate services. However, the ultra-wide bandwidth of THz …
ever-increasing appetite for high-rate services. However, the ultra-wide bandwidth of THz …
CRB analysis for mixed-ADC based DOA estimation
We consider a mixed analog-to-digital converter (ADC) based architecture consisting of high-
precision and one-bit ADCs with the antenna-varying threshold for direction of arrival (DOA) …
precision and one-bit ADCs with the antenna-varying threshold for direction of arrival (DOA) …
Parameter estimation in PMCW MIMO radar systems with few-bit quantized observations
We consider the problem of target parameter estimation in phase modulated continuous
wave (PMCW) multiple-input multiple-output (MIMO) radar systems with quantized …
wave (PMCW) multiple-input multiple-output (MIMO) radar systems with quantized …
Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System
The massive MIMO approach presents an exciting prospect for the upcoming generation of
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …
Deep learning for estimation and pilot signal design in few-bit massive MIMO systems
LV Nguyen, DHN Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Estimation in few-bit MIMO systems is challenging, since the received signals are
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …
Efficient majorization-minimization-based channel estimation for one-bit massive MIMO systems
We consider efficient channel estimation for massive multiple-input multiple-output (MIMO)
systems using one-bit analog-to-digital converters (ADCs) with antenna-varying thresholds …
systems using one-bit analog-to-digital converters (ADCs) with antenna-varying thresholds …
Computationally efficient maximum likelihood channel estimation for coarsely quantized massive MIMO systems
We consider computationally efficient maximum likelihood (ML) channel estimation for
massive multiple-input multiple-output (MIMO) systems using coarsely quantized …
massive multiple-input multiple-output (MIMO) systems using coarsely quantized …
Direct position determination with one-bit sampling for bandwidth-constrained radar
In this paper, we address the problem of direct position determination (DPD) for bandwidth-
constrained radar systems. In this case, full precision sampled signals cannot be transmitted …
constrained radar systems. In this case, full precision sampled signals cannot be transmitted …