Updating readme

README.md

@@ -1,16 +1,17 @@
 Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency 
 ==================
 
-This code package is distributed along with the monograph:
+This repository contains the authors' free public PDF of the textbook:
 
 Emil Bjornson, Jakob Hoydis and Luca Sanguinetti (2017), "[Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency](https://www.massivemimobook.com)", Foundations and Trends in Signal Processing: Vol. 11, No. 3-4, pp. 154-655. DOI: 10.1561/2000000093.
 
-For further information about the monograph, please visit: [https://www.massivemimobook.com](https://www.massivemimobook.com)
+For further information about the book, please visit: [https://www.massivemimobook.com](https://www.massivemimobook.com)
 
-The package contains a simulation environment, based on Matlab, that can be used to reproduce all the simulation results in the monograph. We hope that the code will support you in the learning of the Massive MIMO topic and also serve as a baseline for further research endeavors. *We encourage you to also perform reproducible research!*
 
+**Simulation code:** The repository also contains the code package that is distributed along with the textbook. The package contains a simulation environment, based on Matlab, that can be used to reproduce all the simulation results in the monograph. We hope that the code will support you in the learning of the Massive MIMO topic and also serve as a baseline for further research endeavors. *We encourage you to also perform reproducible research!*
 
-## Abstract of the Monograph
+
+## Abstract of the Book
 
 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.
 
@@ -23,7 +24,7 @@ The monograph contains many numerical examples, which can be reproduced using Ma
 
 This code package contains 74 Matlab scripts, 29 Matlab functions, and 7 binary files with Matlab data.
 
-Each script is used to reproduce a particular simulation-generated figure in the monograph. The scripts are named using the convention sectionX_figureY, which is interpreted as the script that reproduces Figure X.Y. A few scripts are instead named as sectionX_figureY_Z and will then generate both Figure X.Y and Figure X.Z.
+Each script is used to reproduce a particular simulation-generated figure in the book. The scripts are named using the convention sectionX_figureY, which is interpreted as the script that reproduces Figure X.Y. A few scripts are instead named as sectionX_figureY_Z and will then generate both Figure X.Y and Figure X.Z.
 
 The functions are used by the scripts to carry out certain tasks, such as initiating a simulation setup, generating channel correlation matrices, generating channel realizations, computing channel estimates, computing SEs, computing the power consumption, etc.
 
@@ -43,7 +44,7 @@ Since the running example in this monograph considers a setup with 16 cells, 100
 
 ## Acknowledgements
 
-We would like to thank the editor Robert W. Heath Jr. for organizing the review of this monograph and the anonymous reviewers for their constructive and detailed comments. We are grateful for the feedback provided by our proof-readers Alessio Zappone (University of Cassino and Southern Lazio), Maximilian Arnold (University of Stuttgart), Andrea Pizzo (University of Pisa), Daniel Verenzuela, Hei Victor Cheng, Giovanni Interdonato, Marcus Karlsson, Antzela Kosta, Özgecan Özdogan (Linköping university), and Zahid Aslam (Siradel).
+We would like to thank the editor Robert W. Heath Jr. for organizing the review of this monograph and the anonymous reviewers for their constructive and detailed comments. We are grateful for the feedback provided by our proof-readers Alessio Zappone (University of Cassino and Southern Lazio), Maximilian Arnold (University of Stuttgart), Andrea Pizzo (University of Pisa), Daniel Verenzuela, Hei Victor Cheng, Giovanni Interdonato, Marcus Karlsson, Antzela Kosta, Özgecan Özdogan (Linköping University), and Zahid Aslam (Siradel).
 
 Emil Björnson has been supported by ELLIIT, CENIIT, and the Swedish Foundation for Strategic Research.
 
@@ -52,4 +53,6 @@ Luca Sanguinetti has been supported by the ERC Starting Grant 305123 MORE.
 
 ## License and Referencing
 
-This code is licensed under the GPLv2 license. If you in any way use this code for research that results in publications, please cite our monograph as described above. We also recommend that you mention the existence of this code package in your manuscript, to spread the word about its existence and to ensure that you will not be accused of plagiarism by the reviewers of your manuscript.
+The authors' version of the textbook, which is found in this repository, is delivered for free personal use. It may not be redistributed without permission and may not be sold. The copyright is owned by the authors, E. Björnson, J. Hoydis and L. Sanguinetti. You can buy color-printed hardback books from [https://www.nowpublishers.com/article/Details/SIG-093](https://www.nowpublishers.com/article/Details/SIG-093)
+
+The simulation code is licensed under the GPLv2 license. If you in any way use this code for research that results in publications, please cite our textbook as described above. We also recommend that you mention the existence of this code package in your manuscript, to spread the word about its existence and to ensure that you will not be accused of plagiarism by the reviewers of your manuscript.