On massive MIMO and its applications to machine type communications and FBMC-based networks

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 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.

Large-Scale Antenna Systems and Massive Machine Type Communications

“…This is an extension of our previous work [27,28]. Differently from [27,28], where we have only considered the Bit Error Rate (BER) analysis for perfect channel knowledge, the current paper presents additional studies and results that shed light on the application of massive MIMO technology and suboptimal linear detection to the uplink mixed-service communication problem, where a BS has to serve not only Human Type Communications (HTC) devices but also a possible massive number of MTC devices. Although the subject being studied in this work is the same as the one in [29], i.e., the application of Massive MIMO to the machine type communications problem, the results are fundamentally different.…”

“…Additionally, the adoption of massive MIMO systems also improve frequency reuse (due to the possibility of reduced radiated power), simplify power control (power control coefficients depend only on the large-scale fading coefficients due to channel hardening) and decreases multi-user interference (due to favourable propagation and the possibility of having very narrow beams as M increases) [23,26]. This is an extension of our previous work [27,28]. Differently from [27,28], where we have only considered the Bit Error Rate (BER) analysis for perfect channel knowledge, the current paper presents additional studies and results that shed light on the application of massive MIMO technology and suboptimal linear detection to the uplink mixed-service communication problem, where a BS has to serve not only Human Type Communications (HTC) devices but also a possible massive number of MTC devices.…”

“…This section discusses issues regarded as most challenging in the Massive MIMO literature. Table I lists such issues and their available solutions, each presented alongside with its side effects, i.e., new issues brought about by their adoption [27,28].…”

A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems

“…( 24)-( 25)] for the FBMC/OQAM case). If the CFO is assumed to be small enough so that 2π P |ν|(L g − 1) ≪ 1, i.e., the incremental phase shift within the support of g due to the frequency offset can be assumed to be negligible [59], then (14) becomes…”

“…With the advent of massive MIMO systems and the difficulties they imply in trainingbased estimation, semi-blind or joint channel estimation/data detection (JCD) techniques 1 are being considered as an alternative approach [10]- [12], re-surging the interest in blind source separation (BSS) for wireless communications [13]. Interestingly, (semi-)blind MIMO techniques have been also recently considered in a couple of works as a potential solution to the pilot contamination problem in massive MIMO-FBMC/OQAM-based configurations (see [14], [15] and references therein). A recent performance analysis for MIMO-OFDM [16] showed that the attainable reduction in pilot size through a semi-blind approach can exceed 95%.…”