Integrated Sensing and Communications for Future Wireless Networks
Academic Press Inc (Verlag)
978-0-443-22143-9 (ISBN)
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Dr. Aryan Kaushik is Assistant Professor at the University of Sussex, UK, associated with the School of Engineering and Informatics, Sussex Artificial Intelligence Institute, and ACMI research centre, since 2021. Prior to that, he has been a Research Fellow at the University College London, UK, with the Department of Electronic and Electrical Engineering, from 2020-21. He completed his PhD degree in Communications Engineering at the Institute for Digital Communications, School of Engineering, The University of Edinburgh, UK, in 2019. He received his MSc degree in Telecommunications from the Hong Kong University of Science and Technology, Hong Kong, in 2015. He has held visiting professor/researcher appointments at the Shenzhen Institute of Beihang University, China, from 2022, Athena Research and Innovation Center, Greece, in 2021, Imperial College London, UK, from 2019-20, University of Luxembourg, Luxembourg, in 2018, and Beihang University, China, from 2017-19. His research interests include signal processing for 5G/6G wireless communications, integrated sensing and communications, reconfigurable holographic and intelligent surfaces, energy efficient communication systems, millimeter wave massive MIMO and satellite communication networks. He has been involved as research lead in the UK MOD, DSTL, DASA and EPSRC funded projects on integrated sensing and communications including the UK-wide UDRC consortium, PI in the UKRI HEIF supported project on green and autonomous UAVs and Sussex-ROF funded project on integrated sensing and communications, and many other collaborative projects.
1. Introduction to Integrated Sensing and Communications for the Next Generation of Wireless
Section 1: Intelligent Metasurfaces for ISAC
2. RIS for Integrated Sensing and Communications
3. Holographic Integrated Sensing and Communications
4. Reconfigurable Intelligent Surface Empowered Integrated Sensing and Communications: Principle, Modeling, and Optimization
Section 2: Machine Learning and AI
5. Channel Estimation in ISAC-IRS Systems Using Machine Learning Approaches
6. Integrated ISAC and Federated Learning in Wireless Edge Networks
Section 3: ISAC Waveform Design and Full-Duplex
7. Communication-Centric Multi-Metric ISAC Waveform Optimization
8. Waveform Design with Constant Peak-to-Average Power Ratio
9. Detection of Integrated Sensing and Communications Waveforms
10. Full-Duplex Systems for Integrated Sensing and Communications
11. Linear and Non-Linear Transmit Waveform and Receiver design for Joint Radar-Communication Systems
Section 4: Millimeter Wave, Terahertz and Beamforming for ISAC
12. Beamforming Architectures for Integrated Sensing and Communications in Millimeter-wave and Terahertz
13. Flexible Hybrid Precoding for Integrated Sensing and Communications
Section 5: Network architectural aspects of integrating sensing into cellular systems
14. RAN architecture and implementation requirements for ISAC
Section 6: Multiple Access and Interference Management
15. Multiple Access for Integrated Sensing and Communications
16. Self-interference Suppression Techniques in Integrated Sensing and Communication Systems
Section 7: Conclusion and Future Prospects
17. ISAC Standardization and Synergies with Key Technology Enablers: Summary and Future Prospects
18. Hybrid RIS for Integrated Sensing and Communications
Erscheint lt. Verlag | 1.12.2024 |
---|---|
Verlagsort | San Diego |
Sprache | englisch |
Maße | 191 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Technik ► Nachrichtentechnik | |
ISBN-10 | 0-443-22143-X / 044322143X |
ISBN-13 | 978-0-443-22143-9 / 9780443221439 |
Zustand | Neuware |
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