Research Article
On massive MIMO and its applications to machine type communications and FBMC-based networks
@ARTICLE{10.4108/ue.2.5.e3, author={Jo\"{a}o Paulo Miranda and Arman Farhang and Nicola Marchetti and Felipe A. P. de Figueiredo and Fabbryccio A. C. M. Cardoso and Fabr\^{\i}cio Figueiredo}, title={On massive MIMO and its applications to machine type communications and FBMC-based networks}, journal={EAI Endorsed Transactions on Ubiquitous Environments}, volume={2}, number={5}, publisher={ICST}, journal_a={UE}, year={2015}, month={7}, keywords={Filter bank multicarrier, large-scale antenna systems, machine type communications}, doi={10.4108/ue.2.5.e3} }- João Paulo Miranda
Arman Farhang
Nicola Marchetti
Felipe A. P. de Figueiredo
Fabbryccio A. C. M. Cardoso
Fabrício Figueiredo
Year: 2015
On massive MIMO and its applications to machine type communications and FBMC-based networks
UE
ICST
DOI: 10.4108/ue.2.5.e3
Abstract
We identify issues and solutions in the key area of Massive Multiple Input Multiple Output (MIMO). We illustrate the role this technology will play in 5G communications through two study cases. In the first study case, we propose a Massive Multiuser (MU)-MIMO setup to tackle the mixed-service communication problem. Our results suggest that, as the array size at the base station progressively increases, the performance of sub-optimal linear filtering approaches the perfect interference-cancellation bound. Our second study case looks at the intersection of Massive MIMO and waveform design. We introduce the self-equalization property of Filter Bank Multicarrier (FBMC)-based Massive MIMO networks, and show it can reduce the number of subcarriers required by the system. It is also shown that the blind channel tracking property of FBMC can decontaminate pilots. These findings shed light into and motivate for two exciting research lines towards a better understanding of Massive MIMO systems.
Copyright © 2015 J. P. Miranda et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.