Intelligent sensing and communications for Internet of everything
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Language
English
ISBN
9780323903714, 0323903711
Notes
General Note
1. Background and Introduction With the development of information and communication technology (ICT) 2. Three major operating scenarios of 5G: eMBB ?mMTC ?URLLC eMBB 3. Backscatter technology and Intelligent Reflecting technology Surface technology in the Internet of Things One of the key challenges of the Internet of Things (IoT) 4. Unmanned aerial vehicle technology in IoE UAV air-ground communication 5. mmWave technology and Terahertz technology IoT communications Today 6. Artificial intelligence technology in the Internet of things Artificial intelligence of IoE technology 7. Fog/edge computing technology and big data system with IoT Over time, big data is snowballing, and cloud storage and other similar services
Description
Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusses the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Finally, the applications of IoE network in big data, artificial intelligence (AI) technology and fog/edge computing technology are proposed. Systematically introduces the technical standards and market analysis of 5G's three application scenarios, as well as the problems and challenges faced Provides readers with the knowledge of spectrum energy efficiency and cost-effective IoE network solutions Introduces the application of physical layer related technologies to the IoT, such as BackCom, IRS and UAV relay in IoE, and millimeter wave technology Discusses the potential application of terahertz 6G network spectrum in the IoT.
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Zhu, Z., Chu, Z., & Li, X. (2022). Intelligent sensing and communications for Internet of everything . Academic Press.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Zhu, Zhengyu, Zheng, Chu and Xingwang, Li. 2022. Intelligent Sensing and Communications for Internet of Everything. Amsterdam: Academic Press.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Zhu, Zhengyu, Zheng, Chu and Xingwang, Li. Intelligent Sensing and Communications for Internet of Everything Amsterdam: Academic Press, 2022.
Harvard Citation (style guide)Zhu, Z., Chu, Z. and Li, X. (2022). Intelligent sensing and communications for internet of everything. Amsterdam: Academic Press.
MLA Citation, 9th Edition (style guide)Zhu, Zhengyu,, Zheng Chu, and Xingwang Li. Intelligent Sensing and Communications for Internet of Everything Academic Press, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
127595ab-6ced-e05c-9904-4cabab566f41-eng
Grouping Information
| Grouped Work ID | 127595ab-6ced-e05c-9904-4cabab566f41-eng |
|---|---|
| Full title | intelligent sensing and communications for internet of everything |
| Author | zhu zhengyu |
| Grouping Category | book |
| Last Update | 2024-12-17 08:40:50AM |
| Last Indexed | 2024-12-17 08:44:48AM |
Book Cover Information
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| First Loaded | Dec 17, 2024 |
| Last Used | Jan 12, 2025 |
Marc Record
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| Last File Modification Time | Dec 17, 2024 08:19:34 AM |
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| 500 | |a <p>1. Background and Introduction With the development of information and communication technology (ICT) 2. Three major operating scenarios of 5G: eMBB ?mMTC ?URLLC eMBB 3. Backscatter technology and Intelligent Reflecting technology Surface technology in the Internet of Things One of the key challenges of the Internet of Things (IoT) 4. Unmanned aerial vehicle technology in IoE UAV air-ground communication 5. mmWave technology and Terahertz technology IoT communications Today 6. Artificial intelligence technology in the Internet of things Artificial intelligence of IoE technology 7. Fog/edge computing technology and big data system with IoT Over time, big data is snowballing, and cloud storage and other similar services</p> | ||
| 505 | 0 | |a Front Cover -- Intelligent Sensing and Communications for Internet of Everything -- Copyright -- Contents -- 1 Background and introduction -- 1.1 Background -- 1.2 Introduction -- 1.2.1 Progress of 6G around the world -- 1.2.2 6G vision and its performance indicators -- 1.2.3 Potential key technologies of 6G -- 1.2.3.1 Three major operating scenarios of 5G eMBB, mMTC, and URLLC -- 1.2.3.2 Backscatter technology and Intelligent Reflecting Surface technology in the Internet of Things -- 1.2.3.3 Unmanned aerial vehicle technology in IoE -- 1.2.3.4 mmWave technology and Terahertz technology IoT communications -- 1.2.3.5 Artificial intelligence technology in the Internet of Things -- 1.2.3.6 Fog/edge computing technology and big data system with IoT -- 1.3 Suggestions to promote 6G research and development -- 2 Three major operating scenarios of 5G: eMBB, mMTC, URLLC -- 2.1 Introduction -- 2.1.1 The comprehensive introduction for eMBB -- 2.1.2 The comprehensive introduction for mMTC -- 2.1.3 The comprehensive introduction for URLLC -- 2.1.3.1 The key technology of URLLC -- 2.1.3.2 Performance metrics for URLLC -- 2.1.3.3 Shortcomings of URLLC -- 2.2 Opportunistic spectrum sharing for D2D-based URLLC -- 2.2.1 System model -- 2.2.1.1 Problem formulation -- 2.2.2 Optimal resource allocation -- 2.2.2.1 Scheme 1 -- 2.3 Cooperative wireless-powered NOMA relaying for B5G IoT networks with hardware impairments and channel estimation errors -- 2.3.1 System model -- 2.3.1.1 Energy harvesting -- 2.3.1.2 Information transmission -- 2.3.2 Performance analysis -- 2.3.3 Exact outage probability -- 2.3.4 Asymptotic OP -- 2.3.4.1 OP of Df -- 2.3.4.2 Diversity order -- 2.3.4.3 Diversity order of Df -- 2.3.4.4 Diversity order of Dn -- 2.3.5 Energy efficiency (EE) -- 2.3.6 Power optimization for the sum rate -- 2.3.7 Performance evaluation results and discussion. | |
| 505 | 8 | |a 2.3.8 Conclusion -- 2.4 I/Q imbalance aware nonlinear wireless-powered relaying of B5G networks: security and reliability analysis -- 2.4.1 System model -- 2.4.2 Performance analysis -- 2.4.3 Outage probability analysis -- 2.4.3.1 Random relay selection -- 2.4.3.2 Optimal relay selection -- 2.4.4 Intercept probability analysis -- 2.4.4.1 Direct transmission -- 2.4.4.2 Transmission via relay -- 2.4.4.3 Numerical results -- 2.4.4.4 Reliability analysis -- 2.4.4.5 Security analysis -- 2.4.5 Conclusions -- References -- 3 Backscatter technology and intelligent reflecting technology surface technology in the Internet of Things -- 3.1 Introduction -- 3.1.1 The classification of backscatter communication systems -- 3.1.1.1 Monostatic backscatter communication (MBC) systems -- 3.1.1.2 Bistatic backscatter communication (BBC) systems -- 3.1.1.3 Ambient backscatter communication (AmBC) systems -- 3.1.2 Fundamental of backscatter modulations -- 3.1.3 Interplay of backscatter with other technologies -- 3.1.3.1 The introduction of NOMA technology -- 3.1.3.2 The cognitive radio -- 3.1.3.3 The wireless powered communication -- 3.1.3.4 The device-to-device communication -- 3.1.3.5 The visible light communication -- 3.1.3.6 The long-range communication -- 3.1.4 The physical layer security -- 3.1.5 Intelligent reflecting surface assisted wireless powered IoT networks -- 3.2 Secrecy analysis of ambient backscatter NOMA systems under I/Q imbalance -- 3.2.1 System model -- 3.2.2 Performance analysis -- 3.2.2.1 Outage probability analysis -- 3.2.2.2 Intercept probability analysis -- 3.2.3 Numerical results -- 3.2.4 Conclusions -- 3.3 Hardware impaired ambient backscatter NOMA systems: reliability and security -- 3.3.1 System model -- 3.3.2 Performance analysis -- 3.3.2.1 OP analysis -- 3.3.2.2 IP analysis -- 3.3.3 Numerical results -- 3.3.4 Conclusions. | |
| 505 | 8 | |a 3.4 Physical layer security of cognitive ambient backscatter communications for green Internet-of-Things -- 3.4.1 System model -- 3.4.2 Performance analysis -- 3.4.2.1 Outage probability analysis -- 3.4.2.2 Intercept probability analysis -- 3.4.3 Numerical results -- 3.4.4 Conclusions -- 3.5 Future research prospects -- 3.5.1 Security and privacy -- 3.5.2 Backscatter communication circuitry design -- 3.5.3 EM energy harvester -- 3.5.4 Hardware impairments -- References -- 4 Unmanned aerial vehicle technology in IoE -- 4.1 Introduction -- 4.1.1 Research status and development trend -- 4.1.2 Research on transmission theory of UAV Communication System -- 4.1.3 Physical layer security of wireless power supply network based on IRS-UAV -- 4.1.4 Channel estimation and beamforming for UAV Communication System -- 4.2 Energy efficiency characterization in heterogeneous IoT system with UAV swarms based on wireless power transfer -- 4.2.1 System model -- 4.2.1.1 Network model -- 4.2.1.2 Air to ground channel model -- 4.2.1.3 Energy harvesting model -- 4.2.1.4 Cell association -- 4.2.1.5 Performance metrics -- 4.2.2 Transmission probability of the IoT-Ts -- 4.2.2.1 One-slot charging -- 4.2.2.2 Two-slot charging -- 4.2.3 Coverage probability -- 4.2.3.1 Coverage probability of the PAIDs -- 4.2.3.2 Coverage probability of the FAIDs -- 4.2.4 Energy efficiency -- 4.2.5 Numerical results -- 4.2.6 Conclusion -- 4.3 UAV-aided multiway NOMA networks with residual hardware impairments -- 4.3.1 System model -- 4.3.1.1 The first case -- 4.3.1.2 The first case -- 4.3.1.3 The second case -- 4.3.2 Achievable sum rate analysis -- 4.3.2.1 Achievable sum rate analysis -- 4.3.2.2 High SNR analysis -- 4.3.3 Numerical results & -- discussion -- 4.3.4 Conclusion -- 4.4 A unified framework for HS-UAV NOMA networks: performance analysis and location optimization. | |
| 520 | |a Intelligent Sensing and Communications for Internet of Everything introduces three application scenarios of enhanced mobile broadband (eMBB), large-scale machine connection (mMTC) and ultra reliable low latency communication (URLLC). A new communication model, namely backscatter communication (BackCom), intelligent reflector surface (IRS) and unmanned aerial vehicle (UAV) technology in Internet of Everything (IoE), is described in detail. Also focusing on millimeter wave, the book discusses the potential application of terahertz 6G network spectrum in the Internet of Things (IoT). Finally, the applications of IoE network in big data, artificial intelligence (AI) technology and fog/edge computing technology are proposed. Systematically introduces the technical standards and market analysis of 5G's three application scenarios, as well as the problems and challenges faced Provides readers with the knowledge of spectrum energy efficiency and cost-effective IoE network solutions Introduces the application of physical layer related technologies to the IoT, such as BackCom, IRS and UAV relay in IoE, and millimeter wave technology Discusses the potential application of terahertz 6G network spectrum in the IoT. | ||
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| 700 | 1 | |a Li, Xingwang,|e author. | |
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