Professor Björnson's book comes at an auspicious moment. British Telecom, Deutsche Telekom, & France Telecom/Orange recently committed to large deployments of Massive MIMO.at the recent Huawei Mobile Broadband Forum. Like most of the work on Massive MIMO, the book is a collaboration across countries. Björnson, one of the first researchers in Massive MIMO, is in Sweden. Co-author Luca Sanguinetti is in Italy. The third author, Jakob Hoydis is at Nokia in France. ;
They contend, "A lot of classic 'wisdom' about Massive MIMO is questionable because it is based on too simplistic system models."
They present alternatives over 516 pages, while placing today's work in the context of decades of work in spatial multiplexing and multiuser MIMO. The 60 page first chapter is downloadable here. The approach is rigorous, loaded with lemmas, corollaries, and loads of math. For a professional monograph, the writing style is clear.
Björnson writes, ""In his book from 2016, Marzetta provides a great exposition of the fundamentals of Massive MIMO. To explain the basics in an intuitive way, Marzetta made the simplifying assumption of uncorrelated channel fading and the use of certain suboptimal processing schemes. In our book, we don’t make those assumptions, but we show how spatial channel correlation and the choice between optimal and various suboptimal processing schemes affect the system performance. We also go deeper into the motivation behind Massive MIMO and describe practical considerations regarding energy efficiency, transceiver hardware impairments, resource allocation, and network deployment.
In addition to that, I think your readers might be interested in knowing that at https://massivemimobook.com
Stanford Professor Goldsmith has told me a deep understanding of capabilities of systems with multiple receivers and transmitters is one of the most important problems in communications. Shannon's Law is well understood for a single transmitter and receiver, but many systems now are more complicated..
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for the next generation of wireless communication networks because it has the potential to provide game-changing improvements in spectral efficiency (SE) and energy efficiency (EE). This monograph summarizes many years of research insights in a clear and self-contained way and provides the reader with the necessary knowledge and mathematical tools to carry out independent research in this area. Starting from a rigorous definition of Massive MIMO, the monograph covers the important aspects of channel estimation, SE, EE, hardware efficiency (HE), and various practical deployment considerations. From the beginning, a very general, yet tractable, canonical system model with spatial channel correlation is introduced. This model is used to realistically assess the SE and EE, and is later extended to also include the impact of hardware impairments. Owing to this rigorous modeling approach, a lot of classic “wisdom” about Massive MIMO, based on too simplistic system models, is shown to be questionable.