Abstract-This article reviews existing related work and identifies the main challenges in the key 5G area at the intersection of waveform design and large-scale multiple antenna systems, also known as Massive MIMO. The property of self-equalization is introduced for Filter Bank Multicarrier (FBMC)-based Massive MIMO, which can reduce the number of subcarriers required by the system. It is also shown that the blind channel tracking property of FBMC can be used to address pilot contamination -one of the main limiting factors of Massive MIMO systems. Our findings shed light into and motivate for an entirely new research line towards a better understanding of waveform design with emphasis on FBMC-based Massive MIMO networks.

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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 a p proaches t h e p e rfect i n terference-cancellation b o und. O u r s e cond s t udy 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 s hed l ight into a nd m otivate f or t wo e xciting research l ines t owards a better understanding of Massive MIMO systems.

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