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:


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