PUC-Rio 5G and Beyond Lab
The laboratory of fifth generation
(5G) and beyond wireless communications aims to study and develop innovative
solutions for the current and the next generation of wireless communications
systems. The lab is based at the Centre for Telecommunications Studies (CETUC)
of PUC-Rio and conducts research activities in:
o
communication theory,
o
signal processing,
o
network architectures,
o
information and coding theory and
o
antennas, propagation and channel
characterisation.
Its mission is to deliver innovative
engineering solutions through liaison with industry, technology transfer,
testbeds and training.
Team:
Professors:
Lukas Landau
Alex Li
Sheng Li
Wence
Zhang
Researchers:
João Dias
Silvio Pinto
PhD Students:
André Flores
Flavio Luiz Duarte
Alireza Danaee
Zhichao
Shao
Roberto Brauer di Renna
Thiago Bittencourt
Research Topics:
o
Massive and
distributed MIMO systems
o
Precoding and detection algorithms
o
Network
MIMO, cell-free concepts and relaying
o
Cloud
radio access networks
o
Millimeter-wave
communications
o
Multicarrier
communications and new waveforms
o
Physical-layer
security techniques
o
Data
science
Selected Publications:
Massive
MIMO:
R. C. de Lamare, "Massive MIMO Systems: Signal
Processing Challenges and Future Trends", URSI Radio Science Bulletin,
2013. pdf presentation
Network MIMO:
P. Li and R. C. de Lamare, "Distributed Iterative
Detection with Reduced Message Passing for Networked MIMO Cellular
Systems", IEEE Transactions on Vehicular Technology, 2014. pdf
Precoding:
K. Zu, R. C. de Lamare and M. Haardt,
"Generalized Design of Low-Complexity Block Diagonalization Type Precoding
Algorithms for Multiuser MIMO Systems", IEEE Transactions on
Communications, 2013. pdf
Detection:
R. C. de Lamare, "Adaptive and Iterative
Multi-Branch MMSE Decision Feedback Detection Algorithms for Multi-Antenna
Systems", IEEE Transactions on Wireless Communications, October 2013. pdf
Matlab Codes and Tools:
Events:
o
ITG/VDE Workshop on Smart Antennas
2015
o
IEEE Sensor Array and Multichannel
Signal Processing (SAM) 2016
Job opportunities:
Please get in touch with regards
to PhD studentships and postdoctoral fellowships and they are made available on
a continuous basis.
Funding and support:
Institutions: