LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Resource Optimization in Wireless Communications
Fundamentals, Algorithms, and Applications
- 1st Edition - January 23, 2025
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 0 0 9 2 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 0 0 9 3 - 6
Resource Optimization in Wireless Communications: Fundamentals, Algorithms, and Applications provides an easy-to-understand overview of the fundamentals of resource optimi… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteResource 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.
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.
Researchers and graduate students in wireless communications, R&D engineers in industry.
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
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
- No. of pages: 400
- Language: English
- Edition: 1
- Published: January 23, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443300929
- eBook ISBN: 9780443300936