Yang MSc, Jia Shi, Kai-Ten Feng, Li-Hsiang Shen, Sau-Hsuan Wu, Ta-Sung Lee

Resource Optimization in Wireless Communications (eBook, ePUB)

Fundamentals, Algorithms, and Applications

• Format: ePub

Produktbeschreibung

Resource Optimization in Wireless Communications: Fundamentals, Algorithms, and Applications provides an easy-to-understand overview of the fundamentals of resource optimization, along with the latest algorithms and applications for emerging 5G, and beyond, wireless systems offering a variety of services. Additionally, it covers the principles and resource optimization of some systems expected in 6G.This book is suitable for courses in wireless communications that cover the principles of multicarrier and OFDM, the theory of resource allocation, power allocation, and subcarrier allocation, as well as the principles and optimization of OTFS, ISAC, reflective intelligent surface (RIS)-assisted mmWave, and user-centric cell-free wireless systems. It is also an ideal self-study reference text for researchers and industry engineers who wish to deepen their knowledge while researching and developing wireless systems for 6G. - Provides a comprehensive introduction to resource optimization in wireless communications, laying a strong foundation for researchers developing cutting-edge resource-allocation algorithms. - Includes a wide variety of resource-optimization algorithms that are ready for direct application in both research and design. - Accompanied by practical examples to enhance understanding, making it ideal for self-study and hands-on practice. - Explores resource optimization across a broad spectrum of 5G/6G wireless systems. - Features numerous illustrations that effectively demonstrate the performance capabilities of various resource-allocation algorithms.

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 400
• Erscheinungstermin: 23. Januar 2025
• Englisch
• ISBN-13: 9780443300936
• Artikelnr.: 72836128

Autorenporträt

Lie-Liang Yang the professor of Wireless Communications in the School of Electronics and Computer Science at the University of Southampton, UK. He received his MEng and PhD degrees in communications and electronics from Northern (Beijing) Jiaotong University, Beijing, China in 1991 and 1997, respectively, and his BEng degree in communications engineering from Shanghai TieDao University, Shanghai, China in 1988. He has research interest in wireless communications, wireless networks and signal processing for wireless communications, as well as molecular communications and nano-networks. On these research topics, he has graduated 30+ PhD students and supervised 150+ master projects, published 400+ research papers in journals and conference proceedings, authored/co-authored three books and also published 10+ book chapters. He is a fellow of the IEEE, IET and of the AAIA, and was a distinguished lecturer of the IEEE VTS. He served as an associate editor to various journals and is currently a senior editor to the IEEE Access and a subject editor to the Electronics Letters. He was one of the guest editors for some special issues in, such as IEEE Journal on Selected Areas in Communications, IEEE Wireless Communication Magazine, IEEE Communication Magazine (2014), etc. He acted different roles, such as TPC/symposium/area/track/ chairs, for organization of conferences.Dr. Jia Shi received his MSc. and Ph.D degrees from the University of Southampton, UK, in 2010 and 2015, respectively. He was a research associate with Lancaster University, UK, during 2015-2017. Then, he worked as a research fellow with the 5GIC, University of Surrey, UK, from 2017 to 2018. Since 2018, he has been with Xidian University, China, and is now an Associate Professor in the National Key Lab. of Integrated Services Networks (ISN). His current research interests include resource allocation in wireless systems, covert communications, physical layer security, mmWave communications, satellite communications, etc. He is now serving as an Associate Editor to Electronic Letters, and an Editor to the International Journal of Communications System, and serves as a Guest Editor for China Communications.Kai-Ten Feng received the B.S. degree from the National Taiwan University, Taipei, Taiwan, in 1992, the M.S. degree from the University of Michigan, Ann Arbor, in 1996, and the Ph.D. degree from the University of California, Berkeley, in 2000. Since August 2011, he has been a full Professor with the Department of Electronics and Electrical Engineering, National Chiao Tung University (NCTU) and National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan, where he was an Associate Professor and Assistant Professor from August 2007 to July 2011 and from February 2003 to July 2007, respectively. From July 2009 to March 2010, he was a Visiting Research Fellow with the Department of Electrical and Computer Engineering, University of California at Davis. Between 2000 and 2003, he was an In-Vehicle Development Manager/Senior Technologist with OnStar Corporation, a subsidiary of General Motors Corporation, where he worked on the design of future Telematics platforms and in-vehicle networks. His current research interests include AI-empowered broadband wireless networks, wireless indoor localization and tracking, and device-free wireless sensing technologies. Dr. Feng received the Best Paper Award from the Spring 2006 IEEE Vehicular Technology Conference, which ranked his paper first among the 615 accepted papers. He also received the FutureTech Award in 2022 from National Science and Technology Council (NSTC), the Outstanding Youth Electrical Engineer Award in 2007 from the Chinese Institute of Electrical Engineering, and the Distinguished Researcher Award from NCTU in 2008, 2010, and 2011. He has also served on the technical program committees in various international conferences.

Inhaltsangabe

1. Preface 2. Multicarrier Communications and Orthogonal Frequency
Division Multiplexing 3. General Theory for Resource
Allocation inWireless Communications 4. Power
Allocation 5. Subcarrier Allocation 6. Beam and Channel Acquisitions in mmWave Systems 7. Beam
Based Resource
Allocation in MIMO
OFDM Networks 8. Game
Theory Assisted Resource
Allocation 9. Machine/Deep Learning Based Resource
Allocation 10. Deep Reinforcement Learning Aided Resource
Allocation in Ultra
Dense Networks 11. Resource
Allocation in Multicell OFDMA Systems 12. Distributed Resource
Allocation in Multicell MC/DS
CDMA Systems 13. Resource Allocation for Ultra
Reliable Low
Latency Communications 14. Resource
Allocation in Massive Machine Type Communications 15. Reflective Intelligent Surface Assisted mmWave Systems 16. Orthogonal Time
Frequency
Space (OTFS) and Related Systems 17. Integrated Sensing and Communications (ISAC) Systems