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Author:   Long D. Nguyen (Lecturer, Dong Nai University, Vietnam) ,  Trung Q. Duong (Professor, Queen's University Belfast, School of Electronics, Electrical Engineering and Computer Science, UK) ,  Hoang D. Tuan (Professor, University of Technology Sydney, School of Electrical and Data Engineering, Australia)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781785619595

ISBN 10:   1785619594
Pages:   223
Publication Date:   11 February 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Chapter 1: Convexity and convex optimisation problems Chapter 2: Recognition and classification of convex programming Chapter 3: Convex optimisation for signal processing and wireless communication Chapter 4: Introduction to real-time embedded optimisation programming Chapter 5: Introduction to practical optimisation problems Chapter 6: First-order methods for real-time optimisation Chapter 7: Distributed and parallel computing for real-time optimisation Chapter 8: Machine learning for real-time optimisation Chapter 9: Real-time embedded convex programming Chapter 10: Real-time embedded optimisation in UAV communications Chapter 11: An introduction of real-time embedded optimisation programming for UAV systems Chapter 12: Real-time optimal resource allocation for embedded UAV communication systems Chapter 13: Real-time deployment and resource allocation for distributed UAV systems in disaster relief Chapter 14: Practical optimisation of path planning and completion time of data collection for UAV-enabled disaster communications Chapter 15: Learning-aided real-time performance optimisation of cognitive UAV-assisted disaster communication References Appendices

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Author Information

Long D. Nguyen is a lecturer at Dong Nai University and adjunct assistant Professor at Duy Tan University, Vietnam. His research interests include convex optimisation techniques for resource management in wireless communications, energy efficiency approaches for 5G networks (heterogeneous networks, relay networks, cell-free networks, and massive MIMO) and real-time optimisation for wireless communication networks and Internet of Things. He holds a PhD in Electronics and Electrical Engineering from Queen's University Belfast, UK. Trung Q. Duong is a professor at Queen's University Belfast, UK, and a Research Chair of Royal Academy of Engineering. His research interests include wireless communications, signal processing, machine learning and optimisation for wireless networks. He serves as editor for IEEE Trans on Wireless Communications and executive editor for IEEE Communications Letters. He received the Royal Academy of Engineering Research Fellowship (2016-2020) and won the Newton Prize in 2017. He is co-editor of the IET book Trusted Communications with Physical Layer Security. Hoang D. Tuan is a professor at the School of Electrical and Data Engineering, University of Technology Sydney, Australia. He has been involved in research on optimisation, control, signal processing, wireless communication, and biomedical engineering for more than 20 years. He received his PhD in Applied Mathematics from Odessa State University, Ukraine.

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