Search results for ""Author Mohsen Guizani""

Book SynopsisThis book provides an overview of the Internet of Things Network and Machine Learning and introduces Internet of Things architecture. It designs a new intelligent IoT network architecture and introduces different machine learning approaches to investigate solutions. It discusses how machine learning can help network awareness and achieve network intelligent control. It also dicusses the emerging network techniques that can enable the development of intelligent IoT networks. This book applies several intelligent approaches for efficient resource scheduling in networks. It discusses Mobile Edge Computing aided intelligent IoT and focuses mainly on the resource sharing and edge computation offloading problems in mobile edge networks. The blockchain-based IoT (which allows fairly and securely renting resources and establishing contracts) is discussed as well.The Internet of Things refers to the billions of physical devices that are now connected to and transfer data through the Internet without requiring human-to-human or human-to-computer interaction. According to Gartner's prediction, there will be more than 37 billion IoT connections in the future year of 2025. However, with large-scale IoT deployments, IoT networks are facing challenges in the aspects of scalability, privacy, and security. The ever-increasing complexity of the IoT makes effective monitoring, overall control, optimization, and auditing of the network difficult. Recently, artificial intelligence (AI) and machine learning (ML) approaches have emerged as a viable solution to address this challenge. Machine learning can automatically learn and optimize strategy directly from experience without following pre-defined rules. Therefore, it is promising to apply machine learning in IoT network control and management to leverage powerful machine learning adaptive abilities for higher network performance. This book targets researchers working in the Internet of Things networks as well as graduate students and undergraduate students focused on this field. Industry managers, and government research agencies in the fields of the IoT networks will also want to purchase this book.Table of ContentsIntroduction.- Intelligent Internet of Things Networking Architecture.- Intelligent IoT Network Awareness.- Intelligent Traffic Control.- Intelligent Resource Scheduling.- Mobile Edge Computing Enabled Intelligent IoT.- Blockchain Enabled Intelligent IoT.- Conclusions and Future Challenges.

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Book SynopsisLearn about Ultra-wideband (UWB) transmission - the most talked about application in wireless communications. UWB wireless communication is a revolutionary technology for transmitting large amounts of digital data over a wide spectrum of frequency bands with very low power for a short distance.Table of ContentsList of Contributors xi Preface xiii 1 Introduction 1Robert Caiming Qiu, Xuemin (Sherman) Shen, Mohsen Guizani and Tho Le-Ngoc 1.1 Fundamentals 1 1.1.1 Overview of UWB 1 1.1.2 History 2 1.1.3 Regulatory 2 1.1.4 Applications 2 1.1.5 Pulse- or Multicarrier-Based UWB 3 1.2 Issues Unique to UWB 4 1.2.1 Antennas 4 1.2.2 Propagation and Channel Model 4 1.2.3 Modulations 5 1.2.4 A/D Sampling 6 1.2.5 Timing Acquisition 7 1.2.6 Receiver Structures 7 1.2.7 Multiple Access 8 1.3 Emerging Technologies 8 1.3.1 Low-Complexity Noncoherent Receivers 8 1.3.2 Location-Based Sensor Networks 9 1.3.3 Time Reversal 9 1.3.4 MAC 10 1.3.5 Future Directions 12 References 13 2 Modulation and Signal Detection in UWB 15Uzoma A. Onunkwo and Ye (Geoffrey) Li 2.1 Overview 15 2.1.1 Evolution and Definition 15 2.1.2 Major Differences from Narrowband and CDMA Systems 16 2.1.3 Types of UWB Modulation 16 2.1.4 UWB Applications 16 2.2 Single-Carrier–Based Modulation 17 2.2.1 Time-Hopping PPM 17 2.2.2 Other Types of Modulations 21 2.2.3 Channel Estimation 23 2.2.4 Signal Detection 27 2.3 OFDM-Based Modulation 29 2.3.1 Basic OFDM for UWB 29 2.3.2 Channel Estimation 30 2.3.3 Interference Suppression 31 2.4 Conclusion and Further Reading 34 References 34 3 UWB Pulse Propagation and Detection 37Robert Caiming Qiu 3.1 Introduction 37 3.2 UWB Pulse Propagation 37 3.2.1 Generalized Multipath Model 37 3.2.2 IEEE 802.15.4a Channel Model 39 3.3 UWB Pulse Signal Detection 39 3.3.1 Optimum Receiver 39 3.3.2 Generalized RAKE Receiver 41 3.3.3 Optimum Receiver with Intersymbol Interference 44 3.3.4 Receiver with Time-Reversal Channel Impulse Response 47 3.3.5 Optimum Receiver with Multiuser Detection 48 References 51 4 Timing Synchronization for UWB Impulse Radios 53Zhi Tian and Georgios B. Giannakis 4.1 Introduction 53 4.2 Signal Model 55 4.3 Signal Detection and Symbol-Level Acquisition 57 4.3.1 Analog Energy Detectors 57 4.3.2 Discrete-Time Energy Detectors 57 4.4 SAT and MAT: Templates with and without Timing 59 4.5 Coarse Synchronization Using Symbol-Rate Samples 60 4.5.1 Discrete-Time Correlator Output Model under Mistiming 61 4.5.2 CML Timing Synchronization 62 4.5.3 Analytic and Simulated Performance 62 4.6 Synchronization with Flexible Timing Resolution 64 4.6.1 Timing-Offset Search via Sample Mean Square 64 4.6.2 Timing-Offset Search via Cross-Correlation Mean Square 66 4.6.3 Comparative Study and Implementation Aspects 68 4.7 Timing Acquisition for Ad Hoc Multiple Access 70 4.7.1 Training-Based Multiuser TOE 70 4.7.2 Blind Synchronization for Multiuser Ad Hoc Access 71 4.7.3 TOE Performance Analysis 75 4.8 Demodulation and BER Sensitivity to Mistiming 76 4.9 Concluding Summary 78 References 79 5 Error Performance of Pulsed Ultra-wideband Systems in Indoor Environments 83Huaping Liu 5.1 Introduction 83 5.2 System Model 85 5.3 Error Performance in Indoor Environments 89 5.3.1 Pulse Amplitude Modulation and Pulse Position Modulation 90 5.3.2 Receiver with Self-Derived Template Waveforms 92 5.3.3 System with Multiple Antennas 95 References 101 6 Mixed-Signal Ultra-wideband Communications Receivers 103Sebastian Hoyos and Brian M. Sadler 6.1 Introduction 103 6.2 Analog-to-Digital Conversion via Signal Expansion 105 6.3 Mixed-Signal Communication Receivers Based on A/D Conversion via Signal Expansion 107 6.3.1 Transmitted Signal and Channel Model 107 6.3.2 Digital Linear Receivers Based on ADC via Signal Expansion 107 6.4 Analog-to-Digital Conversion in the Frequency Domain 109 6.5 Frequency-Domain Mixed-Signal Receivers 111 6.5.1 Multicarrier Communication Systems Based on A/D Conversion in the Frequency Domain 111 6.5.2 Relationship to the Fourier Series Coefficients 117 6.5.3 Mixed-Signal Transmitted-Reference Receiver 118 6.6 Conclusions 124 References 125 7 Trends in Ultra-wideband Transceiver Design 127Zhengyuan Xu 7.1 Introduction 127 7.2 Status of UWB Transceiver Design 128 7.3 Digital UWB Receivers 130 7.3.1 PPM-Based TH-UWB System Model 131 7.3.2 Channel Estimation Techniques 132 7.3.3 Design of Linear Receivers 133 7.3.4 Some Thoughts about Complexity Reduction 134 7.3.5 Finite Resolution Digital Receivers 135 7.4 Analog/Digital UWB Transceivers 136 7.4.1 Near Full-Rate TR Transceivers 136 7.4.2 Full-Rate TR Transceivers 144 7.5 Conclusions 149 Acknowledgments 149 References 149 8 UWB MAC and Ad Hoc Networks 155Zihua Guo and Richard Yao 8.1 Introduction 155 8.1.1 Overview of IEEE 802.15.3 MAC 155 8.1.2 Overview of MBOA MAC 157 8.2 QoS Scheduling in PNC 158 8.2.1 Problem Definition 159 8.2.2 Deadline-Aware Scheduling Algorithm 160 8.2.3 Calculation of the Reserved CTA 161 8.2.4 Simulation Results 161 8.3 Power Management in IEEE 802.15.3 163 8.3.1 Problem Definition 164 8.3.2 Proposed Approach 165 8.3.3 Simulation Results 167 8.4 Adaptive Dly-ACK 168 8.4.1 Problem Definition 170 8.4.2 Adaptive Dly-ACK 172 8.4.3 Simulation Results 177 8.5 Ad Hoc Networks 183 8.5.1 Child Piconet 183 8.5.2 Independent Piconets 184 8.6 Summary 187 References 187 9 Radio Resource Management for Ultra-wideband Communications 189Xuemin (Sherman) Shen, Weihua Zhuang, Hai Jiang and Jun Cai 9.1 Introduction 189 9.2 Radio Resource Management 191 9.2.1 Pulse-Based UWB Physical Layer Characteristics 191 9.2.2 Challenges and Opportunities 192 9.3 Multiple Access 193 9.3.1 Exclusive versus Concurrent Transmissions 193 9.3.2 Code Assignment 194 9.3.3 Interference Mitigation in TH-UWB 196 9.4 Overhead Reduction 197 9.4.1 ACK Mechanisms 198 9.4.2 Long Acquisition Time 199 9.5 Power/Rate Allocation 200 9.5.1 Power Allocation 200 9.5.2 Rate Guarantee 202 9.5.3 Rate Control 203 9.5.4 Cross-Layer Design 205 9.6 Conclusions 206 References 207 10 Pulsed UWB Interference to Narrowband Receivers 211Jay E. Padgett 10.1 Introduction 211 10.2 Pulsed UWB Signal Model 212 10.3 Narrowband Receiver Model 216 10.4 Equivalent Receiver Model and Response to a Pulse 218 10.5 Response to a Pulse Sequence 220 10.6 Simulating the Response to a Pulse Sequence 223 10.6.1 I/Q Component Formulation 223 10.6.2 Simulation Parameters 224 10.6.3 Normalization 224 10.6.4 Example Filter Response: The n-Pole Filter 225 10.7 General Properties of the IF Output 227 10.7.1 Case 1: Pulse Rate Less than IF Bandwidth 227 10.7.2 Case 2: Pulse Rate Greater than IF Bandwidth 228 10.8 Power Spectral Density 230 10.9 Discrete PDF PSD Example: Equally Spaced, Equally Likely Time Offsets 233 10.10 Continuous PDF PSD Examples 239 10.10.1 The Poisson Process 239 10.10.2 Continuous PDF Uniform Random Pulse Position 240 10.11 Comparison of PSD and Simulation Results 242 10.12 Statistical Properties of the Output Envelope 247 10.13 Summary 249 References 250 11 Digital-Carrier Spreading Codes for Baseband UWB Multiaccess 251Liuqing Yang and Georgios B. Giannakis 11.1 Introduction 251 11.2 Digital-Carrier Multiband User Codes 252 11.2.1 Baseband Single-Carrier UWB 252 11.2.2 Baseband Multicarrier UWB 254 11.3 Low Duty-Cycle Access in the Presence of NBI 255 11.3.1 General Rake Reception Model 255 11.3.2 SINR Analysis 259 11.3.3 Simulations and Numerical Results 260 11.4 Improved Rate Access in the Presence of Multipath 263 11.4.1 Rake Reception Model with IFI 263 11.4.2 Performance Comparisons 266 11.4.3 Simulated Examples 271 11.5 Multiuser Interference Mitigation 273 11.6 Summary 276 References 276 12 Localization 279Kegen Yu, Harri Saarnisaari, Jean-Philippe Montillet, Alberto Rabbachin, Ian Oppermann and Giuseppe Thadeu Freitas de Abreu 12.1 Introduction 279 12.2 Time-of-Arrival Estimation 279 12.2.1 Estimation Accuracy 280 12.2.2 Energy-Collection–Based TOA Estimation 281 12.2.3 Two-Stage TOA Estimation 282 12.2.4 Simulation Results 286 12.3 Location and Tracking 286 12.3.1 Position Estimation 287 12.3.2 Tracking 292 12.3.3 Simulation Results 292 12.4 Location in Distributed Architectures 294 12.4.1 Overview 294 12.4.2 Proposed Algorithm 295 12.4.3 Simulation Results 296 12.5 Theoretical Positioning Accuracy 297 12.5.1 Analysis Tool 298 12.5.2 Hyperbolic Location Accuracy 299 12.6 Conclusions 301 Acknowledgment 301 References 301 Index 305

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Book SynopsisNext Generation Wireless Systems and Networks offers an expert view of cutting edge Beyond 3rd Generation (B3G) wireless applications.Trade Review"This reference will prove invaluable to senior undergraduate and postgraduate students, academics and researchers…[and] telecommunications engineers…" (IEEE Canadian Review, October 2007)Table of ContentsPreface. About the Authors. 1. Introduction. 1.1 Part I: Background Knowledge. 1.2 Part II: 3GMobile Cellular Standards. 1.3 Part III: Wireless Networking. 1.4 Part IV: B3G and Emerging Wireless Technologies. 1.5 Suggestions in Using This Book. 2. Fundamentals of Wireless Communications. 2.1 Theory of Radio Communication Channels. 2.2 Spread Spectrum Techniques. 2.3 Multiple Access Technologies. 2.4 Multiple User Signal Processing. 2.5 OSI ReferenceModel. 2.6 Switching Techniques. 2.7 IP-Based Networking. 3. 3G Mobile Cellular Technologies. 3.1 CDMA2000. 3.2 WCDMA. 3.3 TD-SCDMA. 4. Wireless Data Networks. 4.1 IEEE 802.11 Standards for Wireless Networks. 4.2 IEEE 802.11a Supplement to 802.11 Standards. 4.3 IEEE 802.11 Security. 4.4 IEEE 802.15 WPAN Standards. 4.5 IEEE 802.16 WMAN Standards. 4.6 ETSI HIPERLAN and ETSI HIPERLAN/2 Standards. 4.7 MMAC by Japan. 4.8 Bluetooth Technologies. 5. All-IP Wireless Networking. 5.1 Some Notes on 1G/2G/3G/4G Terminology. 5.2 Mobile IP. 5.3 IPv6 versus IPv4 . 5.4 Mobile IPv6. 5.5 Wireless Application Protocol (WAP). 5.6 IP onMobile Ad Hoc Networks. 5.7 All-IP Routing Protocols. 6. Architecture of B3G Wireless Systems. 6.1 Spectrum Allocation andWireless Transmission Issues. 6.2 Integration ofWMAN/WLAN/WPAN andMobile Cellular. 6.3 High-Speed Data. 6.4 Multimode and Reconfigurable Platforms. 6.5 Ad hocMobile Networking. 6.6 Networking Plan Issues. 6.7 Satellite Systems in B3G Wireless. 6.8 Other Challenging Issues. 7. Multiple Access Technologies for B3G Wireless. 7.1 What B3GWireless Needs?. 7.2 A Feature Topic on B3GWireless. 7.3 Next-Generation CDMA Technologies. 7.4 Multicarrier CDMA Techniques. 7.5 OFDMTechniques. 7.6 Ultra-Wideband Technologies. 8. MIMO Systems. 8.1 SIMO,MISO, andMIMO Systems. 8.2 Spacial Diversity inMIMO Systems. 8.3 Spacial Multiplexing in MIMO Systems. 8.4 STBC-CDMA Systems. 8.5 Generic STBC-CDMA SystemModel. 8.6 Unitary Codes Based STBC-CDMA System. 8.7 Complementary Coded STBC-CDMA System. 8.8 Discussion and Summary. 9. Cognitive Radio Technology. 9.1 Why Cognitive Radio?. 9.2 History of Cognitive Radio. 9.3 What is Cognitive Radio?. 9.4 From SDR to Cognitive Radio. 9.5 Cognitive Radio for WPANs. 9.6 Cognitive Radio for WLANs. 9.7 Cognitive Radio for WMANs. 9.8 Cognitive Radio for WWANs. 9.9 Cognitive Radio for WRANs: IEEE 802.22. 9.10 Challenges to Implement Cognitive Radio. 9.11 Cognitive Radio Products and Applications. 10. E-UTRAN: 3GPP’s Evolutional Path to 4G. 10.1 3GPP TSG for E-UTRAN. 10.2 Origin of E-UTRAN. 10.3 General Features of E-UTRAN. 10.4 E-UTRAN Study Items. 10.5 E-UTRAN TSGWork Plan. 10.6 E-UTRAN Radio Interface Protocols. 10.7 E-UTRAN Physical Layer Aspects. 10.8 Summary. A: Orthogonal Complementary Codes (PG = 8 ∼ 512). B: MAI in Asynchronous Flat Fading UWB Channel. C: MI in Asynchronous Modified S-V UWB Channel. D: Proof of Equation (8.44). E: Properties of Orthogonal Complementary Codes. F: Proof of Equation (8.66). Bibliography. Index.

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