Signal Processing Techniques for Future Wireless Communication Systems

1. Auflage 2027
ISBN: 978-1-041-21011-5
Verlag: CRC Press

Buch, Englisch, 440 Seiten, Format (B × H): 178 mm x 254 mm

Reihe: Modern Aspects of Computing, Devices, and Communication Engineering

The text addresses the basic signal processing approaches, their evolutions, and the exploration of systems with advanced signal processing techniques. It discusses signal processing aspects of resource allocation and scheduling in non-orthogonal multiple access networks, signal processing techniques for multiple antennas in non-orthogonal multiple access, and channel estimation approaches for RIS-assisted wireless communication systems.

The text:

- Focuses more on physical layer design and provides an in-depth discussion of related signal processing techniques.

- Highlights and discusses three key technologies, namely massive MIMO, non-orthogonal multiple access, and reconfigurable intelligent surfaces.

- Investigate the role of artificial intelligence, machine learning, and deep learning in future generation communication systems, particularly for resource management, channel estimation, and beamforming optimization.

- Discusses performance analysis of reconfigurable intelligent surfaces-assisted unmanned aerial vehicles communication systems.

- Covers channel estimation approaches for reconfigurable intelligent surfaces-assisted wireless communication systems.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics, and communication engineering, wireless communication, telecommunication, and digital communication.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Nath Sur, Samarendra

Imoize, Agbotiname Lucky

Bhattacharya, Ankan

Q. Tran, Huu

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

1. Introduction to Signal Processing Techniques for Future Wireless Networks. 2. AI-Assisted Physical Layer Security for Advanced Wireless Networks. 3. NOMA Variants for Next-Generation Wireless Networks: A Comprehensive Review and Performance Analysis. 4. Signal Detection and Transceiver Design for NOMA. 5. Signal Processing Aspects of Resource Allocation and Scheduling in NOMA Networks. 6. Balancing Spectrum Efficiency and User Fairness: A Cross-Layer Perspective on NOMA Scheduling. 7. A Comparative Analysis of Hybrid Models for Spectrum Sensing in Cognitive NOMA Systems. 8. From Physical Reality to Signal Representation: Effective Channel Models for Massive MIMO Systems. 9. Signal Processing Approaches for Efficient Channel Estimation in Massive MIMO. 10. Signal Processing Approaches for Reconfigurable Intelligent Surfaces. 11 Joint Active and Passive Beamforming Approaches for Reconfigurable Intelligent Surfaces Under Multiuser Scenario. 12. Channel Estimation Approaches for RIS-Assisted Wireless Communication Systems. 13. System Model of the RIS-Aided MIMO-NOMA Networks with SWIPT. 14. Joint Communication and Sensing in RIS-MIMO Systems. 15. Future Wireless Systems: Signal Processing Meets AI for Autonomous Transportation and Secure Communications. 16. Implementing ARQ Protocol for Secure Communication in Smart Home Systems: A GUI-Based Approach for Client-Server and IoT Devices.

Über Autor(innen)

Samarendra Nath Sur (M’16, SM’20) received his M.Tech. degree in Digital Electronics and Advanced Communication from Sikkim Manipal University, India, in 2012, and his Ph.D. degree in MIMO signal processing from the National Institute of Technology (NIT), Durgapur, India, in 2019. He is currently serving as an Associate Professor in the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology. His research focuses on next-generation broadband wireless communication systems, including MIMO, spread spectrum techniques, Reconfigurable Intelligent Surfaces-Assisted networks, and radar image/signal processing using soft computing and intelligent algorithms. He has made significant research contributions with over 95 SCI/Scopus-indexed journal and conference publications. He is a Senior Member of IEEE and an active member of the IEEE IoT and the Institution of Engineers (India). He is currently serving as an Associate Editor for International Journal on Smart Sensing and Intelligent Systems (S2IS) (SCOPUS, ESCI). He serves as a regular reviewer for leading international journals. He is also extensively involved in editorial activities. Additionally, he had the privilege of serving as a Guest Editor for topical collections and special issues in reputable journals.

Agbotiname Lucky Imoize is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests span 6G wireless communication, wireless security systems, and artificial intelligence. He is the Book Editing Director for the ACM Emerging Interest Group on Trustworthy and Responsible Systems (EIGTRUST). He is a Fulbright fellow, the vice chair of the IEEE Communications Society Nigeria chapter, and a registered engineer with the Council for the Regulation of Engineering in Nigeria. He is a senior member of IEEE.

Ankan Bhattacharya obtained his Ph.D. from National Institute of Technology, Durgapur, India. His areas of teaching and research are Antenna Engineering, Computational Electromagnetics, Electronic Circuits and Systems, Signal Processing, Microwave Devices and Wireless Communication Technologies. Dr. Bhattacharya is the Series Editor of Modern Aspects of Computing, Devices and Communication Engineering, Chapman and Hall/CRC, Routledge, Taylor & Francis Group. Dr. Bhattacharya is acting as a Guest Editor of Discover Applied Sciences. He is an associate editor of the Journal of Information Processing Systems (JIPS), an official international journal of the Korea Information Processing Society, as an Associate Editor. Dr. Bhattacharya has been appointed as an Academic Editor of International Journal of Antennas and Propagation. He is on the editorial boards of Scientific Reports, Nature and Scientific Reviews. Dr. Bhattacharya has been appointed as an editorial board member of Bulletin of Electrical Engineering and Informatics (BEEI).  He has been inducted into the Editorial Board of Human-centric Computing and Information Sciences (HCIS), SCI Indexed, Q1 Journal, as an Associate Editor. Dr. Bhattacharya is having a collective academic and research experience of about 20 years. Presently he is associated with Hooghly Engineering & Technology College, Hooghly, India, as Professor and Head of Electronics and Communications Engineering Department.

Huu Q. Tran received the M.S. degree and the Ph.D. degree in Electronics Engineering from the Faculty of Electrical and Electronics Engineering, HCMUTE. He is currently a lecturer and researcher with the Faculty of Electronics Technology, Industrial University of Ho Chi Minh City (IUH), Vietnam. Engineering in Nigeria. He is a senior member of IEEE.

His research interests include next-generation wireless and satellite communications, integrated satellite–terrestrial networks, low-Earth-orbit (LEO) satellite and non-terrestrial networks (NTNs), spectrum sharing, satellite-assisted vehicular communications, spectral- and energy-efficient resource allocation, non-orthogonal multiple access (NOMA), reconfigurable intelligent surfaces (RISs), cognitive radio, energy harvesting and SWIPT, cooperative relaying, physical-layer security, fountain-coded communications, unmanned aerial vehicles (UAVs), short-packet communications, and the Internet of Things (IoT). His recent research focuses on multi-antenna satellite–terrestrial communications, LEO satellite-assisted vehicular spectrum sharing, RIS-assisted NOMA networks, and AI-assisted optimization for wireless systems. He is also interested in educational technology, responsible artificial intelligence, digital transformation in higher education, AI-supported assessment, academic integrity, and institutional governance for emerging technologies.