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Interference Mitigation in Device-to-Device Communications [Kõva köide]

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  • Formaat: Hardback, 240 pages, kõrgus x laius x paksus: 244x170x19 mm, kaal: 567 g
  • Ilmumisaeg: 14-Apr-2022
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 111978879X
  • ISBN-13: 9781119788799
Teised raamatud teemal:
Interference Mitigation in Device-to-Device CommunicationsSuurem pilt
  • Formaat: Hardback, 240 pages, kõrgus x laius x paksus: 244x170x19 mm, kaal: 567 g
  • Ilmumisaeg: 14-Apr-2022
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 111978879X
  • ISBN-13: 9781119788799
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781119788799.html
Märksõnad:
Explore this insightful foundational resource for academics and industry professionals dealing with the move toward intelligent devices and networks

Interference Mitigation in Device-to-Device Communications delivers a thorough discussion of device-to-device (D2D) and machine-to-machine (M2M) communications as solutions to the proliferation of ever more data hungry devices being attached to wireless networks. The book explores the use of D2D and M2M technologies as a key enabling component of 5G networks. It brings together a multidisciplinary team of contributors in fields like wireless communications, signal processing, and antenna design.

The distinguished editors have compiled a collection of resources that practically and accessibly address issues in the development, integration, and enhancement of D2D systems to create an interference-free network. This book explores the complications posed by the restriction of device form-factors and the co-location of several electronic components in a small space, as well as the proximity of legacy systems operating in similar frequency bands.

Readers will also benefit from the inclusion of:





A thorough introduction to device-to-device communication, including its history and development over the last decade, network architecture, standardization issues, and regulatory and licensing hurdles An exploration of interference mitigation in device-to-device communication underlaying LTE-A networks A rethinking of device-to-device interference mitigation, including discussions of the challenges posed by the proliferation of devices An analysis of user pairing for energy efficient device-to-device content dissemination

Perfect for researchers, academics, and industry professionals working on 5G networks, Interference Mitigation in Device-to-Device Communications will also earn a place in the libraries of undergraduate, graduate, and PhD students conducting research into wireless communications and applications, as well as policy makers and communications industry regulators.
Preface xiii
Acknowledgments xv
About the Editors xvii
List of Contributors
xix
1 Introduction to D2D Communications
1(12)
Ghazanfar Ali Safdar
Masood Ur Rehman
Mohammad Asad Rehman Chaudhry
1.1 D2D Communication
1(2)
1.2 Evolution of D2D Communication
3(3)
1.3 D2D Communication in Cellular Spectrum
6(3)
1.4 Classification of D2D Communication
9(1)
1.5 Challenges in D2D Implementation
10(1)
1.6 Summary
11(1)
References
11(2)
2 Interference Mitigation in D2D Communication Underlaying LTE-A Network
13(36)
Ghazanfar Ali Safdar
Masood Ur Rehman
Mujahid Muhammad
Muhammad A. Imran
2.1 Applicability of D2D Communication
15(2)
2.2 Interference - The Compelling Issue in D2D
17(1)
2.3 Types of D2D Communication
17(6)
2.3.1 In-Band D2D Communication
18(1)
2.3.1.1 Underlay In-Band
18(1)
2.3.1.2 Overlay In-Band
19(1)
2.3.2 Out-Band D2D Communication
19(2)
2.3.2.1 Network-Assisted D2D Communication
21(1)
2.3.2.2 Autonomous D2D Communication
22(1)
2.4 D2D Communication Underlaying Cellular Network -- The Challenges
23(5)
2.4.1 Device Discovery
24(1)
2.4.2 Mode Selection
25(1)
2.4.3 Radio Resource Management
25(2)
2.4.4 Modification to LTE-A Architecture
27(1)
2.4.5 Security in D2D
27(1)
2.4.6 Mobility Management
28(1)
2.5 Interference in D2D
28(14)
2.5.1 Power Control Techniques
31(1)
2.5.2 Radio Resource Allocation Techniques
32(1)
2.5.3 Joint Power Control and Radio Resource Allocation Techniques
33(1)
2.5.4 Spectrum Splitting Techniques
34(1)
2.5.5 Other Interference Mitigation Techniques
34(1)
2.5.6 Multiple-Input Multiple-Output Techniques
35(4)
2.5.7 Comparative Analysis of D2D Interference Mitigation Techniques
39(3)
2.6 Summary
42(1)
References
42(7)
3 Rethinking D2D Interference: Beyond the Past
49(14)
Mohammad Asad Rehman Chaudhry
Zakia Asad
3.1 Interference Manipulation
49(3)
3.1.1 Example
50(2)
3.2 Formulation of Interference Manipulation Problem
52(1)
3.3 Matrix Rank Minimization: A Way to Manipulate Interference
53(2)
3.3.1 Reduction of Interference Manipulation to Matrix Rank Minimization
53(1)
3.3.2 Minimum Rank Matrix to Transmission Scheme
54(1)
3.3.3 Does the Field Size Matter?
55(1)
3.4 Interference Manipulation: A Boolean Satisfiability Approach
55(1)
3.5 Interference Manipulation: Index Coding Perspective
56(4)
3.5.1 Interference Manipulation Is NP-hard
57(1)
3.5.2 An Efficient Solution for Interference Manipulation
58(2)
3.6 Summary
60(1)
References
60(3)
4 User Pairing Scheme for Efficient D2D Content Delivery in Cellular Networks
63(26)
Yanli Xu
4.1 D2D Content Delivery
63(2)
4.2 D2D Content Delivery Architecture
65(2)
4.2.1 Network Model
65(1)
4.2.2 Channel Model
66(1)
4.2.3 Content Delivery Model
66(1)
4.3 D2D Content Delivery Strategies
67(8)
4.3.1 Pairing Range
67(5)
4.3.2 Energy Efficiency for Multicast and Unicast
72(1)
4.3.3 Caching and Delivery
73(2)
4.4 D2D Delivery Mode Selection
75(2)
4.5 Performance Evaluation
77(7)
4.6 Summary
84(1)
References
84(5)
5 Resource Allocation for NOMA-based D2D Systems Coexisting with Cellular Networks
89(20)
Tien H. Nguyen
Taehyun Yoon
Xuan T. Nguyen
Daeseung Yoo
Byungtae Jang
Van D. Nguyen
5.1 NOMA-based D2D Systems
90(1)
5.2 System Model and Performance Analysis
91(4)
5.2.1 System Model and Assumptions
91(1)
5.2.2 Capacity Analysis of D2D and Cellular Networks
92(1)
5.2.2.1 Uplink Cellular Networks Transmission
92(1)
5.2.2.2 Downlink NOMA-D2D Transmission
93(2)
5.3 Joint Subchannel Assignment and Power Control for D2D Communication
95(4)
5.3.1 Subchannel Assignment Scheme
96(1)
5.3.2 Power Control Scheme
97(2)
5.4 Optimization of D2D Device Pairing
99(1)
5.5 Results and Discussion
100(5)
5.5.1 Channel Model
101(1)
5.5.2 Performance Evaluation
102(3)
5.6 Summary
105(1)
References
105(4)
6 Distributed Multi-Agent RL-Based Autonomous Spectrum Allocation in D2D-Enabled Multi-Tier HetNets
109(24)
Kamran Zia
Nauman Javed
Muhammad N. Sial
Sohail Ahmed
Asad A. Pirzada
Farrukh Pervez
6.1 D2D Resource Allocation Methods
110(3)
6.2 Reinforcement Q-Learning
113(1)
6.3 System Model
114(2)
6.4 Resource Allocation in Multi-tier D2D Communication
116(3)
6.4.1 Autonomous Spectrum Allocation Scheme
118(1)
6.5 Performance Evaluation
119(11)
6.5.1 Performance of D2D Users
121(1)
6.5.2 Performance of Cellular Users
122(3)
6.5.3 Coverage Analysis
125(1)
6.5.4 Computational Time Analysis
125(2)
6.5.5 Memory Requirements
127(1)
6.5.6 Effect of Base Stations Density
128(1)
6.5.7 Effect of Network Tiers
129(1)
6.6 Summary
130(1)
References
130(3)
7 Adaptive Interference Aware Device-to-Device-Enabled Unmanned Aerial Vehicle Communications
133(16)
Navuday Sharma
Rafay I. Ansari
Rida Khan
Hassan Malik
Haris Pervaiz
7.1 Key Elements in D2D Communication
134(3)
7.1.1 D2D Network Discovery
135(1)
7.1.2 SWIPT for D2D
135(1)
7.1.3 Resource Allocation
136(1)
7.1.4 3GPP Standardization
136(1)
7.2 Unmanned Aerial Vehicles in D2D
137(7)
7.2.1 Key Challenges in UAV-based D2D
139(1)
7.2.2 Transmission over PC5 Interface for UAV-based D2D Discovery
140(1)
7.2.3 Interference in UAV-based D2D
141(3)
7.3 Summary
144(1)
References
144(5)
8 Emergency Device-to-Device Communication: Applicability, Case Studies and Interference Mitigation
149(18)
Imran Haider
Mohsin Raza
Kamran Ali
Muhammad Awais
Vishnu V. Paranthaman
Muhammad Y. M. Mirza
8.1 Emergency D2D Communication
150(2)
8.2 Approaches for Efficient Emergency D2D Communication
152(3)
8.3 Emergency D2D Communication: Case Studies
155(3)
8.4 Interference Mitigation in Emergency D2D Communication
158(6)
8.4.1 Radiated Power Management
159(1)
8.4.2 Frequency Allocation
160(1)
8.4.2.1 Hybrid Schemes for Power Control and Intelligent Frequency Allocation
160(1)
8.4.3 Time Division Multiplexing (TDM)
161(1)
8.4.4 Adjacent Channel Interference Cancellation in DSRC
161(1)
8.4.5 Interference Mitigation through Multiple Antennas (MIMO)
162(1)
8.4.5.1 Beam Steering in 3GPP 5G NR Supported Vehicular Systems
162(2)
8.5 Summary
164(1)
References
164(3)
9 Disaster Management Using D2D Communication With Power Transfer and Clustering Techniques
167(24)
Kamran Ali
Huan Nguyen
Aboubaker Lasebae
Anum Tanveer
Purav Shah
Mohsin Raza
Bushrah Naeem
Tahera Kalsoom
9.1 D2D Communication in Disaster Management
168(1)
9.2 D2D Communication in Disaster Management: Key Considerations
169(2)
9.3 D2D Disaster Management System Architecture
171(7)
9.3.1 Time Switching-Based Protocol
172(1)
9.3.2 Network Configuration
173(1)
9.3.3 Outage Probability for Mode Selection
174(4)
9.4 Power Transfer Using Relaying and Clustering in D2D Disaster Management
178(4)
9.4.1 System Model
178(1)
9.4.2 Performance Evaluation
179(1)
9.4.2.1 Energy Calculation
179(3)
9.5 Results and Discussion
182(5)
9.6 Summary
187(1)
References
188(3)
10 Road Ahead for D2D Communications
191(16)
Masood Ur Rehman
Ghazanfar Ali Safdar
Mohammad Asad Rehman Chaudhry
10.1 Future Prospects and Challenges
191(10)
10.1.1 Spectrum Sharing and Coexistence
192(1)
10.1.2 Standardization
192(1)
10.1.3 Secure Communication
193(1)
10.1.4 Energy Consumption and Energy Harvesting
194(1)
10.1.5 Interference Management
195(1)
10.1.6 Resource Allocation
196(1)
10.1.7 Device Discovery
197(1)
10.1.8 Handover
198(1)
10.1.9 Network Slicing
198(1)
10.1.10 D2D in Vehicular Communications
199(1)
10.1.11 D2D in Disaster Management
199(1)
10.1.12 D2Dat Millimeter Wave Frequencies
199(1)
10.1.13 D2D and Social Networks
200(1)
10.1.14 D2D and Visible Light Communication (VLC)
200(1)
References
201(6)
Index 207
Masood Ur Rehman, PhD, is a Lecturer in Electronic and Nanoscale Engineering at the University of Glasgow, UK. He is a Fellow of the Higher Education Academy UK, Senior Member of the IEEE, and Associate Editor of the IEEE Access, IEEE Antennas & Wireless Propagation Letters, Microwave & Optical Technology Letters and IET Electronics Letters.

Ghazanfar Ali Safdar, PhD, is a Senior Lecturer in Computer Networking at the University of Bedfordshire, UK. He is Associate Fellow of Higher Education Academy, UK. He was an R&D Engineer with Carrier Telephone Industries and Schlumberger, France. Dr. Safdar is Editor-in-Chief of EAI Endorsed Transactions on Energy Web and Information Technology, Area Editor of Springer Wireless Networks and Topic Editor of MDPI JSAN.

Mohammad Asad Rehman Chaudhry, PhD, MBA,is a thought-leader, innovator and entrepreneur leading multi-disciplinary projects in Digital Disruption and Future-Tech. He has developed strategy recommendations for Fortune 500. Dr. Chaudhry also leads IEEE Standards in Software-Defined and Virtualized Ecosystems.