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…mehr
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
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
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
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