130 citations · 165 across the 26 of their papers we have counts for
26 papers
Study of Multiuser Scheduling Based on User Satisfaction for MU-MIMO Systems
Ahmed M. Nor, Lukas T. N. Landau, E. Veronica Belmega +1
Scheduling in multiuser multiple input multiple output (MU-MIMO) systems is essential for efficient resource allocation and overall performance enhancement. In this work, a multius…
Study of Symbol Error Probability Constrained Precoding with Zero-Crossing Modulation for Wireless Systems with 1-Bit ADCs
D. Melo, L. Landau, R. de Lamare
The next generation of wireless communications systems will employ new frequency bands such as those in the upper midband, millimeter-wave and sub-terahertz frequency bands. The hi…
Study of Constrained Precoding with Zero-Crossing Modulation for Channels with 1-Bit Quantization and Oversampling
D. Melo, L. Landau, R. de Lamare
Future wireless communications systems are expected to operate at bands above 100GHz. The high energy consumption of analog-to-digital converters, due to their high resolution repr…
Symbol-Error Probability Constrained Power Minimization for Reconfigurable Intelligent Surfaces-based Passive Transmitter
Erico S. P. Lopes, Lukas T. N. Landau
This study considers a virtual multiuser multiple-input multiple-output system with PSK modulation realized via the reconfigurable intelligent surface-based passive transmitter set…
State Machine-based Waveforms for Channels With 1-Bit Quantization and Oversampling With Time-Instance Zero-Crossing Modulation
Diana M. V. Melo, Lukas T. N. Landau, Rodrigo C. de Lamare
Systems with 1-bit quantization and oversampling are promising for the Internet of Things (IoT) devices in order to reduce the power consumption of the analog-to-digital-converters…
Multiuser-MIMO Systems Using Comparator Network-Aided Receivers With 1-Bit Quantization
Ana Beatriz L. B. Fernandes, Zhichao Shao, Lukas T. N. Landau +1
Low-resolution analog-to-digital converters (ADCs) are promising for reducing energy consumption and costs of multiuser multiple-input multiple-output (MIMO) systems with many ante…
MMSE Symbol Level Precoding Under a Per Antenna Power Constraint for Multiuser MIMO Systems With PSK Modulation
Erico S. P. Lopes, Lukas T. N. Landau
This study proposes a symbol-level precoding algorithm based on the minimum mean squared error design objective under a strict per antenna power constraint for PSK modulation. The…
Minimum Symbol Error Probability Low-Resolution Precoding for MU-MIMO Systems With PSK Modulation
Erico S. P. Lopes, Lukas T. N. Landau, Amine Mezghani
We propose an optimal low-resolution precoding technique that minimizes the symbol error probability of the users. Unlike existing approaches that rely on QPSK modulation, for the…
Discrete MMSE Precoding for Multiuser MIMO Systems with PSK Modulation
Erico S. P. Lopes, Lukas T. N. Landau
We propose an optimal MMSE precoding technique using quantized signals with constant envelope. Unlike the existing MMSE design that relies on 1-bit resolution, the proposed approac…
Dynamic Oversampling Tecniques for 1-Bit ADCs in Large-Scale MIMO Systems
Z. Shao, L. Landau, R. de Lamare
In this work, we investigate dynamic oversampling techniques for large-scale multiple-antenna systems equipped with low-cost and low-power 1-bit analog-to-digital converters at the…
Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems Using Low-Resolution Signal Processing in C-RANs
T. Cunha, R. C. de Lamare, T. N. Ferreira +1
Large-scale multi-user multiple-input multiple-output (MU-MIMO) systems and cloud radio access networks (C-RANs) are considered promising technologies for the fifth generation (5G)…
Iterative Detection and Decoding for Multiuser MIMO Systems with Low Resolution Precoding and PSK Modulation
Erico S. P. Lopes, Lukas T. N. Landau
Low-resolution precoding techniques have gained considerable attention in the wireless communications area recently. Vital but hardly discussed in literature, discrete precoding in…
Study of Channel Estimation Algorithms for Large-Scale Multiple-Antenna Systems using 1-Bit ADCs and Oversampling
Z. Shao, L. Landau, R. C. de Lamare
Large-scale multiple-antenna systems with large bandwidth are fundamental for future wireless communications, where the base station employs a large antenna array. In this scenario…
Continuous Phase Modulation With 1-Bit Quantization and Oversampling Using Iterative Detection and Decoding
Rodrigo R. M. de Alencar, Lukas T. N. Landau, Rodrigo C. de Lamare
A channel with continuous phase modulation and 1-bit ADC with oversampling is considered. Due to oversampling, higher-order modulations yield a higher achievable rate and this work…
Zero Crossing Modulation for Communication with Temporally Oversampled 1-Bit Quantization
Gerhard Fettweis, Meik Dörpinghaus, Sandra Bender +3
Today's communication systems typically use high resolution analog-to-digital converters (ADCs). However, considering future communication systems with data rates in the order of 1…
Zero-Crossing Precoding With Maximum Distance to the Decision Threshold for Channels With 1-Bit Quantization and Oversampling
Diana M. V. Melo, Lukas T. N. Landau, Rodrigo C. de Lamare
Low-resolution devices are promising for systems that demand low energy consumption and low complexity as required in IoT systems. In this study, we propose a novel waveform for ba…
Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver
Rodrigo R. M. de Alencar, Lukas T. N. Landau
Continuous phase modulation (CPM) with 1-bit quantization at the receiver is promising in terms of energy and spectral efficiency. In this study, CPM waveforms with symbol duration…
Investigation of Channel Estimation Techniques with 1-bit Quantization and Oversampling for Multiple-Antenna Systems
Z. Shao, L. Landau, R. C. de Lamare
Large-scale multiple-antenna systems have been identified as a promising technology for the next generation of wireless systems. However, by scaling up the number of receive antenn…
Optimal Precoding for Multiuser MIMO Systems With Phase Quantization and PSK Modulation via Branch-and-Bound
Erico S. P. Lopes, Lukas T. N. Landau
MIMO systems are considered as most promising for wireless communications. However, with an increasing number of radio front ends the corresponding energy consumption and costs bec…
Study of Channel Estimation with Oversampling for 1-bit Large-Scale MIMO Systems
Z. Shao, L. Landau, R. de Lamare
In this paper, we propose an oversampling based low-resolution aware least squares channel estimator for large-scale multiple-antenna systems with 1-bit analog-to-digital converter…
Study of SIC and RLS Channel Estimation for Large-Scale Antenna Systems with 1-Bit ADCs
Z. Shao, L. Landau, R. de Lamare
We propose a novel low-resolution-aware recursive least squares channel estimation algorithm for uplink multi-user multiple-input multiple-output systems. In order to reduce the en…
Study of Iterative Detection and Decoding for Large-Scale MIMO Systems with 1-Bit ADCs
Z. Shao, L. Landau, R. de Lamare
We present a novel iterative detection and decoding scheme for the uplink of large-scale multiuser multiple-antenna systems. In order to reduce the receiver's energy consumption an…
Branch-and-Bound Precoding for Multiuser MIMO Systems with 1-Bit Quantization
Lukas T. N. Landau, Rodrigo C. de Lamare
Multiple-antenna systems is a key technique to serve multiple users in future wireless systems. For low energy consumption and hardware complexity we first consider transmit symbol…
Information Rates for Faster-Than-Nyquist Signaling with 1-Bit Quantization and Oversampling at the Receiver
Tim Hälsig, Lukas Landau, Gerhard Fettweis
Oversampling combined with low quantization resolutions has been shown to be a viable option when aiming for energy efficiency in multigigabit/s communications systems. This work c…