State machine-based waveforms for channels with 1-bit quantization and oversampling with time-instance zero-crossing modulation
Systems with 1-bit quantization and oversampling are promising for the Internet of Things
(IoT) networks because they can reduce the power consumption of the analog-to-digital …
(IoT) networks because they can reduce the power consumption of the analog-to-digital …
Study of Clustered Robust Linear Precoding for Cell-Free MU-MIMO Networks
A Flores, R de Lamare - arXiv preprint arXiv:2407.05517, 2024 - arxiv.org
Precoding techniques are key to dealing with multiuser interference in the downlink of cell-
free (CF) multiple-input multiple-output systems. However, these techniques rely on accurate …
free (CF) multiple-input multiple-output systems. However, these techniques rely on accurate …
Study of MMSE-Based Resource Allocation for Clustered Cell-Free Massive MIMO Networks
S Mashdour, RC de Lamare - arXiv preprint arXiv:2311.14831, 2023 - arxiv.org
In this paper, a downlink cell-free massive multiple-input multiple-output (CF massive MIMO)
system and a network clustering is considered. Closed form sum-rate expressions are …
system and a network clustering is considered. Closed form sum-rate expressions are …
Tomlinson-Harashima Cluster-Based Precoders for Cell-Free MU-MIMO Networks
A Flores, RC de Lamare, KV Mishra - arXiv preprint arXiv:2312.15832, 2023 - arxiv.org
Cell-free (CF) multiple-input multiple-output (MIMO) systems generally employ linear
precoding techniques to mitigate the effects of multiuser interference. However, the power …
precoding techniques to mitigate the effects of multiuser interference. However, the power …
Study of Clustering Techniques and Scheduling Algorithms with Fairness for Cell-Free MIMO Networks
S Mashdour, RC de Lamare - arXiv preprint arXiv:2404.18032, 2024 - arxiv.org
In this work, we propose a clustering technique based on information rates for cell-free
massive multiple-input multiple-output (MIMO) networks. Unlike existing clustering …
massive multiple-input multiple-output (MIMO) networks. Unlike existing clustering …
Study of Robust Adaptive Beamforming Algorithms Based on Power Method Processing and Spatial Spectrum Matching
S Mohammadzadeh, VH Nascimento… - arXiv preprint arXiv …, 2023 - arxiv.org
Robust adaptive beamforming (RAB) based on interference-plus-noise covariance (INC)
matrix reconstruction can experience performance degradation when model mismatch …
matrix reconstruction can experience performance degradation when model mismatch …
Quantized Iterative Precoding for Spatially Correlated mmWave Rician Massive MIMO with Oversampling
Y Karabacakoğlu, AB Üçüncü… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) systems have gained a lot of attention due to
their notable benefits with respect to spectral and energy efficiency. In order to make these …
their notable benefits with respect to spectral and energy efficiency. In order to make these …
Study of Multiuser Scheduling with Enhanced Greedy Techniques for Multicell and Cell-Free Massive MIMO Networks
S Mashdour, RC de Lamare, JP Sales - arXiv preprint arXiv:2303.06779, 2023 - arxiv.org
In this work, we investigate the sum-rate performance of multicell and cell-free massive
MIMO systems using linear precoding and multiuser scheduling algorithms. We consider the …
MIMO systems using linear precoding and multiuser scheduling algorithms. We consider the …
Time Instance Zero-Crossing Precoding for mmWave Channels Employing 1-bit Quantization and Oversampling
DMV Melo, LTN Landau… - 2024 27th International …, 2024 - ieeexplore.ieee.org
Future wireless communication systems will be required to utilize a broad spectrum in the
millimeter-wave and sub-terahertz bands given the increasing demand in higher data rates …
millimeter-wave and sub-terahertz bands given the increasing demand in higher data rates …
Oversampled Distortion-Aware Precoding with Efficient OOB Radiation Control for Quantized Massive MIMO and Performance Analysis
Y Karabacakoğlu - 2023 - open.metu.edu.tr
In this study, the nonlinear effects of the quantization due to low-resolution digital-to-analog
converters (DACs) will be investigated. Massive multiple-input multiple-output (MIMO) …
converters (DACs) will be investigated. Massive multiple-input multiple-output (MIMO) …