This book introduces how to build an integrated simulation tool on the MATLAB platform to simulate advanced techniques at the physical layer of 5G and 6G networks, such as modulation, multiple access, energy saving technologies, massive MIMO, physical layer security, cognitive radio, and artificial intelligence. This simulation tool has a user-friendly interactive interface with usage instructions and outputs graphs to evaluate the performance of each method. The goal of the simulations is to achieve results related to performance indicators at the physical layer, such as outage probability, throughput, bit error rate or frame error rate, and security capacity. This book helps the readers learn how to build a simulation framework for evaluating advanced 5G/6G technologies by themselves and apply them to their research.

Provides a comprehensive and updated simulation tool to investigate most of key 5G/6G communications technologies Serves as a useful guide to help readers learn how to develop similar simulation programs for their own research work Keeps the readers updated with advanced research topics in wireless communications through illustrations

Autorentext

Phuong T. Tran was born in Ho Chi Minh City, in 1979. He received the B.Eng. and M.Eng. degrees in electronic and telecommunication engineering from Ho Chi Minh University of Technology (a member of Vietnam National University at Ho Chi Minh City), Vietnam, in 2002 and 2005, respectively, and the M.S. degree in mathematics and the Ph.D. degree in electrical and computer engineering from Purdue University, in 2013. He became Vietnam Education Foundation Fellow with Purdue University, USA, in 2007. He joined the Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam, in 2013, where he has been working as Vice Dean, since October 2014, and the Dean of the Faculty, since 2023. He is currently an IEEE Senior Member and the Head of Wireless Communications Research Group at Ton Duc Thang University. His research interests include performance analysis of wireless communications, stochastic optimization, and network information theory.

Tan N. Nguyen was born in Nha Trang City, Vietnam, in 1986. He received B.S. and M.S. degrees in electronics and telecommunications engineering from Ho Chi Minh University of Natural Sciences, Vietnam National University in Ho Chi Minh City in 2008 and 2012, respectively. He got his Ph.D. degree in computer science, communications technology and applied mathematics at VSB-Technical University of Ostrava, Czech Republic, in 2019. In 2013, he joined the Faculty of Electrical and Electronics Engineering of Ton Duc Thang University, Vietnam, and has been working as Lecturer since then. His major interests are cooperative communications, cognitive radio, signal processing, and physical layer security. He started as Editor-in-Chief of Advances in Electrical and Electronic Engineering (AEEE) journal in 2023. He is now also an IEEE Senior Member, Head of the Advanced Intelligent Technology (AITECH) research group and Head of Communication and Signal Processing (COMSIG) research group at Ton Duc Thang University. Lam-Thanh Tu received the B.Eng. degree in electronics and telecommunications engineering from the Ho Chi Minh City University of Technology, Vietnam, in 2009, the M.Sc. degree in telecommunications engineering from the Posts and Telecommunications Institute of Technology, Vietnam, in 2014, and the Ph.D. degree from the University of Paris Sud (Paris-Saclay University), France, in 2018. From 2015 to 2018, he was with the French National Center for Scientific Research (CNRS), Paris, as Early-Stage Researcher of the European-Funded Project H2020 ETN-5Gwireless. From 2019 to 2021, he was with the Xlim Research Institute, University of Poitiers, France, as Post-Doctoral Research Fellow. Since 2022, he has been with the Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Vietnam. His research interests include stochastic geometry, LoRa networks, reconfigurable intelligent surfaces, covert communications, and artificial intelligence applications for wireless communications.

Inhalt

Introduction.- Theoretical Background on 5G Physical Layer.- Develop a Wireless Network Simulation Tool for 5G/6G Technologies.- 4 Modulation Waveforms for 5G Networks.- Multiple Access Schemes for 5G/6G Networks.- Massive MIMO.- Energy Saving Solutions in 5G/6G Networks.- Physical Layer Security.- Cognitive Radio Communications.- Artificial Intelligence in 6G Wireless Communications.- Experimental Results and Evaluation.- Conclusion.