Table of Contents

1. Introduction; Part I. Basic Concepts: 2. Wireless channel properties; 3. Spectral and energy efficiencies of wireless networks; 4. Centralized resource management in wireless networks; 5. Distributed resource management in wireless networks; Part II. Centralized Cross-Layer Optimization: 6. Overview; 7. Utility-based optimization framework for OFDMA; 8. Algorithm development for utility-based optimization; 9. Joint channel and queue-aware multicarrier scheduling using delay-based utility functions; 10. Utility-based generalized QoS scheduling for heterogeneous traffic; 11. Asymptotic performance analysis for channel-aware scheduling; Part III. Distributed Cross-Layer Optimization: 12. Overview; 13. Opportunistic random access: single-cell cellular networks; 14. Opportunistic random access: any network topology; 15. Optimal channel-aware distributed MAC; 16. Opportunistic random access with intelligent interference avoidance; 17. Distributed power control; Part IV. Cross-Layer Optimization for Energy-Efficient Networks: 18. Overview; 19. Energy-efficient transmission; 20. Centralized energy-efficient wireless resource management; 21. Distributed energy-efficient wireless resource management; 22. Energy-efficient cellular network design; 23. Implementation in practice.

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Provides the fundamental principles and practical tools needed to design next-generation wireless networks that are both energy- and spectrum-efficient.

About the Author

Guowang Miao is an Assistant Professor in the Department of Communications Systems at KTH Royal Institute of Technology, Sweden. After receiving his PhD in electrical and computer engineering from Georgia Institute of Technology, USA, in 2009, he spent two years working in industry as a Senior Standard Engineer at Samsung Telecom America. His current research interests are in the design and optimization of wireless communications and networking. Guocong Song is currently Principal Research Engineer at ShareThis, Palo Alto, California. He has been working in wireless communications and networks for a decade, since receiving his PhD in electrical and computer engineering from Georgia Institute of Technology. He received the 2010 IEEE Stephen O. Rice Prize for the best paper in the field of communications theory, and he is recently active in the area of data science and machine learning.