There are thousands of papers that analyze different aspects of Massive MIMO. Although many different algorithms and models have been considered, I would say that the most common ones are:

- Independent Rayleigh fading channels;
- Signal processing based on maximum ratio (MR) or zero-forcing (ZF).

These are, for example, the assumptions made in the textbook Fundamentals of Massive MIMO. The beautiful analysis and insightful closed-form expressions developed under these assumptions have had a profound impact on the adoption of Massive MIMO in 5G. I would, therefore, like to refer to this *canonical form* of the technology as **Massive MIMO 1.0**.

*Taking the technology to the next level*

It is possible to squeeze out even higher spectral efficiency out of multi-antenna systems if we design the systems differently. For example, the paper “Massive MIMO has unlimited capacity” showed that the upper limit on the capacity that appears in Massive MIMO 1.0, due to pilot contamination, can be alleviated by replacing the two above-mentioned assumptions by:

- Spatially correlated Rayleigh fading;
- Signal processing that cancels interference between the pilot-sharing users.

Spatial correlation is something that appears naturally in all communication systems, thus the main difference is to embrace this fact in the signal processing design instead of neglecting it. I believe that this can make such as a huge difference that it is appropriate to introduce the term **Massive MIMO 2.0** to describe this development.

This is done in a recent review paper called “*Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination“*. The paper’s main conclusion is that the acquisition and utilization of spatial correlation information will be key in beyond-5G systems, to take the spectral efficiency to the next level. Since the largest gains appear when having even larger antenna arrays than in 5G, new antenna deployments concepts are bound to arise. Three promising examples are described in the paper: **large intelligent surfaces**, distributed **post-cellular architectures**, and the use of carrier frequencies **beyond 100 GHz**.

As a complement to the review paper, the basics of Massive MIMO 2.0 are also described in the following video:

Can You please provide a chart or some sort of pictorial representation of different ideas and their inter-relationship for a massive MIMO system along with some references. This might be helpful for researchers to gain a quick look on important engineering issues?

I don’t have a chart and I’m not sure what you had in mind for that chart either, but if you want to learn about new research directions for Massive MIMO in a less technical way, I recommend you to read this paper:

Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta, “Massive MIMO is a Reality – What is Next? Five Promising Research Directions for Antenna Arrays,” Digital Signal Processing, Submitted for review. https://arxiv.org/pdf/1902.07678

Can I get a Matlab code for zero-forcing for a 10 by 10 antenna.

Zero-forcing is one of the many processing schemes that are considered in the book Massive MIMO Networks. You can download the simulation code at https://massivemimobook.com