Massive
and Distributed MIMO
Large-scale multiple-antenna systems have recently attracted a great of interest due to their potential and benefits for the next generation of wireless networks. In particular, these systems have the ability to offer a substantial increase in data rates and to mitigate interference more effectively due to the degrees of freedom offered by the large number of antennas.
Massive MIMO systems
are motivated by the exponential increase in data rates driven by applications
such as video streaming and machine-to-machine communications. Key problems in
such systems include the limitation of existing signal processing algorithms
which are not scalable, antennas must be compactly assembled and the mutual
coupling needs to be addressed, and the need to develop tools and new concepts
(signal processing, RF, hardware) for implementation.
In our 5G lab, we look at innovative solutions to the problems encountered in the design of these systems, namely:
o Precoding and detection
o Statistical analysis
o Mitigation of RF impairments
o Pilot contamination
o Distributed architectures
Selected Publications:
T. L. Marzetta, Noncooperative Cellular
Wireless with Unlimited Numbers of Base Station Antennas, IEEE Trans. Wireless
Communications, vol. 9, no. 11, pp. 3590-3600, Nov. 2010.
R. C. de Lamare,
"Massive MIMO Systems: Signal Processing Challenges and Future
Trends", URSI Radio Science Bulletin, 2013. pdf presentation
R.
C. de Lamare and R. Sampaio-Neto,
Signal Detection and Parameter Estimation in Massive MIMO Systems, Signal
Processing and Applications, Elsevier (tentative), 2015. pdf
W. Zhang, C. Pan, M. Chen, R. C. de Lamare and
J. Dai, “Large-Scale Antenna Systems with UL/DL Hardware Mismatch: Achievable
Rates Analysis and Calibration”, IEEE Transactions on Communications, 2015. pdf
Matlab Codes and Tools: