UAV Communications for 5G and Beyond (eBook, PDF)

Redaktion: Zeng, Yong; Matolak, David W.; Geraci, Giovanni; Zhang, Rui; Guvenc, Ismail

• Format: PDF

Produktbeschreibung

Explore foundational and advanced issues in UAV cellular communications with this cutting-edge and timely new resource

UAV Communications for 5G and Beyond delivers a comprehensive overview of the potential applications, networking architectures, research findings, enabling technologies, experimental measurement results, and industry standardizations for UAV communications in cellular systems. The book covers both existing LTE infrastructure, as well as future 5G-and-beyond systems.

UAV Communications covers a range of topics that will be of interest to students and professionals alike. Issues of UAV detection and identification are discussed, as is the positioning of autonomous aerial vehicles. More fundamental subjects, like the necessary tradeoffs involved in UAV communication are examined in detail.

The distinguished editors offer readers an opportunity to improve their ability to plan and design for the near-future, explosive growth in the number of UAVs, as well as the correspondingly demanding systems that come with them. Readers will learn about a wide variety of timely and practical UAV topics, like:

• Performance measurement for aerial vehicles over cellular networks, particularly with respect to existing LTE performance
• Inter-cell interference coordination with drones
• Massive multiple-input and multiple-output (MIMO) for Cellular UAV communications, including beamforming, null-steering, and the performance of forward-link C&C channels
• 3GPP standardization for cellular-supported UAVs, including UAV traffic requirements, channel modeling, and interference challenges
• Trajectory optimization for UAV communications

Perfect for professional engineers and researchers working in the field of unmanned aerial vehicles, UAV Communications for 5G and Beyond also belongs on the bookshelves of students in masters and PhD programs studying the integration of UAVs into cellular communication systems.

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Produktdetails

• Verlag: John Wiley & Sons
• Erscheinungstermin: 7. Dezember 2020
• Englisch
• ISBN-13: 9781119575672
• Artikelnr.: 60782261

Autorenporträt

Yong Zeng is a Professor at the National Mobile Communications Research Laboratory, Southeast University, China, and also with the Purple Mountain Laboratories, Nanjing, China. He is recognized as a Highly Cited Researcher by Web of Science Group. He is the recipient of IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award and IEEE Marconi Prize Paper Award in Wireless Communications. Ismail Guvenc is a Professor at North Carolina State University in the United States. He formerly worked with DOCOMO Innovations, Florida International University, and Mitsubishi Electric Research Labs. His recent research interests include 5G/6G wireless systems, aerial communications for UTM/AAM, and mmWave communications. Rui Zhang is a Professor with the National University of Singapore. His current research interests include wireless information and power transfer, drone communication, and reconfigurable MIMO. Giovanni Geraci is an Assistant Professor at Universitat Pompeu Fabra, Barcelona. He was previously with Nokia Bell Labs and holds a Ph.D. from UNSW Sydney. He is a "la Caixa" Junior Leader and a "Ramón y Cajal" Fellow, and the recipient of the IEEE ComSoc Europe, Middle East, and Africa Outstanding Young Researcher Award. David W. Matolak is Professor at the University of South Carolina in the United States. He has over 20 years of experience in communication systems research, development, design, and deployment. He has worked with private firms, government institutions, and academic labs.

Inhaltsangabe

List of Contributors xvii

Acronyms xxi

Part I Fundamentals of UAV Communications 1

1 Overview 3
Qingqing Wu, Yong Zeng, and Rui Zhang

1.1 UAV Definitions, Classes, and Global Trend 3

1.2 UAV Communication and Spectrum Requirement 4

1.3 Potential Existing Technologies for UAV Communications 6

1.3.1 Direct Link 6

1.3.2 Satellite 7

1.3.3 Ad-Hoc Network 8

1.3.4 Cellular Network 8

1.4 Two Paradigms in Cellular UAV Communications 9

1.4.1 Cellular-Connected UAVs 9

1.4.2 UAV-Assisted Wireless Communications 10

1.5 New Opportunities and Challenges 11

1.5.1 High Altitude 11

1.5.2 High LoS Probability 12

1.5.3 High 3D Mobility 12

1.5.4 SWAP Constraints 13

1.6 Chapter Summary and Main Organization of the Book 13

References 15

2 A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles 17
Wahab Khawaja, Ismail Guvenc, David W. Matolak, Uwe-Carsten Fiebig, and Nicolas Schneckenberger

2.1 Introduction 17

2.2 Literature Review 20

2.2.1 Literature Review on Aerial Propagation 20

2.2.2 Existing Surveys on UAV AG Propagation 21

2.3 UAV AG Propagation Characteristics 22

2.3.1 Comparison of UAV AG and Terrestrial Propagation 22

2.3.2 Frequency Bands for UAV AG Propagation 23

2.3.3 Scattering Characteristics for AG Propagation 24

2.3.4 Antenna Configurations for AG Propagation 24

2.3.5 Doppler Effects 25

2.4 AG Channel Measurements: Configurations, Challenges, Scenarios, and Waveforms 25

2.4.1 Channel Measurement Configurations 26

2.4.2 Challenges in AG Channel Measurements 29

2.4.3 AG Propagation Scenarios 29

2.4.3.1 Open Space 31

2.4.3.2 Hilly/Mountainous 31

2.4.3.3 Forest 32

2.4.3.4 Water/Sea 32

2.4.4 Elevation Angle Effects 32

2.5 UAV AG Propagation Measurement and Simulation Results in the Literature 33

2.5.1 Path Loss/Shadowing 33

2.5.2 Delay Dispersion 36

2.5.3 Narrowband Fading and Ricean K-factor 36

2.5.4 Doppler Spread 37

2.5.5 Effects of UAV AG Measurement Environment 37

2.5.5.1 Urban/Suburban 38

2.5.5.2 Rural/Open Field 38

2.5.5.3 Mountains/Hilly, Over Sea, Forest 39

2.5.6 Simulations for Channel Characterization 40

2.6 UAV AG Propagation Models 41

2.6.1 AG Propagation Channel Model Types 41

2.6.2 Path-Loss and Large-Scale Fading Models 42

2.6.2.1 Free-Space Path-Loss Model 43

2.6.2.2 Floating-Intercept Path-Loss Model 43

2.6.2.3 Dual-Slope Path-Loss Model 43

2.6.2.4 Log-Distance Path-Loss Model 45

2.6.2.5 Modified FSPL Model 45

2.6.2.6 Two-Ray PL Model 45

2.6.2.7 Log-Distance FI Model 45

2.6.2.8 LOS/NLOS Mixture Path-Loss Model 46

2.6.3 Airframe Shadowing 47

2.6.4 Small-Scale Fading Models 47

2.6.5 Intermittent MPCs 48

2.6.6 Effect of Frequency Bands on Channel Models 51

2.6.7 MIMO AG Propagation Channel Models 52

2.6.8 Comparison of Different AG Channel Models 54

2.6.8.1 Large-Scale Fading Models 54

2.6.8.2 Small-Scale Fading Models 54

2.6.9 Comparison of Traditional Channel Models with UAV AG Propagation Channel Models 55

2.6.10 Ray Tracing Simulations 56

2.6.11 3GPP Channel Models for UAVs 58

2.7 Conclusions 60

References 60

3 UAV Detection and