Intelligent Unmanned Air Vehicles Communications for Public Safety Networks

1. Front Matter

   Pages i-xii

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2. Intelligent Unmanned Air Vehicles for Public Safety Networks: Emerging Technologies and Research Directions

   • Zeeshan Kaleem, Ishtiaq Ahmad, Trung Q. Duong

   Pages 1-17

3. UAV Placement and Resource Management in Public Safety Networks: An Overview

   • Rizwana Shahzadi, Mudassar Ali, Muhammad Naeem

   Pages 19-49

4. 3D Unmanned Aerial Vehicle Placement for Public Safety Communications

   • Abhaykumar Kumbhar, Ismail Güvenç

   Pages 51-89

5. Power-Efficient UAV Placement in Relay Assisted Heterogeneous Public Safety Networks

   • Yasir Iqbal, Ayaz Ahmad, Zeeshan Kaleem

   Pages 91-103

6. Location Prediction and Trajectory Optimization in Multi-UAV Application Missions

   • Rounak Singh, Chengyi Qu, Alicia Esquivel Morel, Prasad Calyam

   Pages 105-131

7. UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G Networks

   • Muhammad K. Shehzad, Syed Ali Hassan, Miguel Angel Luque-Nieto, Pablo Otero

   Pages 133-144

8. Enhancing UAV-Based Public Safety Networks with Reconfigurable Intelligent Surfaces

   • Wael Jaafar, Lina Bariah, Sami Muhaidat, Halim Yanikomeroglu

   Pages 145-167

9. UAVs Path Planning by Particle Swarm Optimization Based on Visual-SLAM Algorithm

   • Umair Ahmad Mughal, Ishtiaq Ahmad, Chaitali J. Pawase, KyungHi Chang

   Pages 169-197

10. UAV-Assisted Cooperative Routing Scheme for Dense Vehicular Ad hoc Network

    • Omer Chughtai, Muhammad Naeem, Kishwer Abdul Khaliq

    Pages 199-214

This book provides a comprehensive overview of the potential use cases and intelligent technologies, UAV layered architectures, research findings, experimental results, and standardization for intelligent UAV communications for public safety networks. This book will cover the conventional non-intelligent and intelligent solutions specifically targeting UAV communications for public safety networks. Moreover, reconfigurable intelligent surface (RIS) has recently attracted researchers and academician attention because its ability improves the propagation environment and enhances communication quality by intelligently reflecting the received signals. Leveraging intelligence into RIS-assisted UAV communications will meet the requirements of the intelligent, green, and sustainable 5G and beyond cellular networks, which makes it a potential candidate to overcome the inherent drawbacks of legacy wireless systems.

The topics covered in this book will be of interest to both the professionals and students. 3D UAV placements schemes, trajectory design, interference management schemes, reinforcement learning solutions for more intelligent and trained solutions, joint UAV trajectory and RIS's passive beamforming design, and various other related topics of readers' interest are presented in detail.

• UAVs communications and networking
• public safety networks
• single/multi-agent Reinforcement learning
• D2D discovery and communications
• SWIPT
• machine/deep learning
• transfer reinforcement learning
• 3D UAV placement and trajectory design
• reconfigurable intelligent surfaces (RIS) for UAV communications

• Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah, Pakistan

  Zeeshan Kaleem

• Faculty of Engineering and Technology, Gomal University, Dera Ismail Khan, Pakistan

  Ishtiaq Ahmad

• School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK

  Trung Quang Duong

Zeeshan Kaleem (Senior Member, IEEE) is serving as an Assistant Professor in the Electrical and Computer Engineering Department, COMSATS University Islamabad, Wah Campus. He received his BS from UET Peshawar in 2007. He received MS and Ph.D. in Electronics Engineering from South Korea in 2010 and 2016, respectively. Dr. Zeeshan consecutively received the National Research Productivity Award (RPA) awards from the Pakistan Council of Science and Technology (PSCT) in 2017 and 2018. He won the Higher Education Commission (HEC) Best Innovator Award for the year 2017, and there was a single award all over Pakistan. He is the recipient of the 2021 Top Reviewer Recognition Award for IEEE TRANSACTIONS on VEHICULAR TECHNOLOGY. He has published around 70 technical Journal papers, Book Chapters, and conference papers in reputable journals/venues and holds 21 US and Korean Patents and got several research grants as PI from HEC Pakistan. He published several patents in wireless communications, which shows his ability to perform practical research work. He is a co-recipient of the best research proposal award from SK Telecom, Korea. He is currently serving as Technical Editor of several prestigious Journals/Magazines like IEEE Open Journal of the Communications Society (OJ-COMS), Elsevier Computer and Electrical Engineering, Springer Human-centric Computing and Information Sciences, and Journal of Information Processing Systems. He has served/serving as Guest Editor for special issues in IEEE Wireless Communications, IEEE Communications Magazine, IEEE Access, Sensors, IEEE/KICS Journal of Communications and Networks, and Physical Communications, and served as TPC Member for world distinguished conferences like IEEE Globecom, IEEE VTC, IEEE ICC, and IEEE PIMRC.



Ishtiaq Ahmad received the B.S. degree in Electrical Engineering from the University of Engineering and Technology (UET), Peshawar, Pakistan, in 2007, and the M.S. and Ph.D. degree in Electronic Engineering from Inha University, Korea, in 2014 and 2019, respectively. From 2007 to 2008, he was a BSS Engineer with the O&M Department, Zong Pakistan. Since 2009, he has been a Lecturer with the Faculty of Engineering and Technology (FET), Gomal University, Pakistan. He has authored several International journals and IEEE conference papers and
also holds U.S. and Korean patents. His research interests include interference management in 3GPP LTE-A & 5G systems, public safety and mobile ad-hoc networks (especially for UAV), cellular-V2X technology, and maritime & underwater communications, and applications of Artificial Intelligence technologies. He was a recipient of the Jungseok International Scholarship to pursue his M.S. and Ph.D. degrees at Inha University, due to his excellent academic career. He received the Outstanding Research Award and Excellent Student Award from the Inha University, in 2019, for his excellence of journal publication and outstanding research achievements. He is currently
working at Electrical Engineering Department, Faculty of Engineering and Technology, Gomal University, Pakistan.


TRUNG Q. DUONG (Fellow, IEEE) is currently Professor and Chair of Telecommunications with Queen’s University Belfast, UK, and Research Chair with the Royal Academy of Engineering. His current research interests include wireless communications, signal processing, and machine learning. He was awarded the Best Paper Award from the IEEE Vehicular Technology Conference (VTC-Spring), in 2013, the IEEE International Conference on Communications (ICC), in 2014, the IEEE Global Communications Conference (GLOBECOM), in 2016, the IEEE Digital Signal Processing Conference (DSP), in 2017, and GLOBECOM, in 2019. He was a recipient of the prestigious Royal Academy of Engineering Research Fellowship, from 2015 to 2020, and has won a prestigious Newton Prize, in 2017. He currently serves as Editor for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS.

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