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Book Cover
E-book
Author Usman, Mohammed

Title Enabling Technologies for Next Generation Wireless Communications
Published Milton : Taylor & Francis Group, 2021

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Description 1 online resource (296 p.)
Series Artificial Intelligence (AI): Elementary to Advanced Practices Ser
Artificial Intelligence (AI): Elementary to Advanced Practices Ser
Contents Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Editors -- List of Contributors -- Chapter 1: Technology Evolution of Wireless Communications: A Survey and Look Forward -- 1.1 Introduction -- 1.2 Historical Background and Evolution of Wireless Systems -- 1.3 Application Scenarios of Next Generation Wireless Systems -- 1.4 Requirements of Next Generation Wireless Systems -- 1.5 Need for 5G and Beyond -- 1.6 Enabling Technologies of Next Generation Wireless Systems -- 1.6.1 Spectrum -- 1.6.2 mmWave and Terahertz Spectral Bands
1.6.3 Visible Light Communication (VLC) -- 1.6.4 Massive MIMO (Large-Scale MIMO) -- 1.6.5 Ultra-Dense Small-Cell Networks -- 1.6.6 Network Slicing -- 1.6.7 Artificial Intelligence -- 1.7 Conclusions -- References -- Chapter 2: Enabling Technologies and Enabling Business Models for Next Generation Wireless Communications -- 2.1 Introduction -- 2.2 Main Contributions and Related Works -- 2.3 Enabling Technologies and Enabling Business Models for Wireless Communications
2.4 Assessment of Enabling Technologies and Enabling Business Models for Previous-Generation, Current-Generation, and Emerging-Generation Wireless Communications -- 2.5 Assessment of Enabling Technologies and Enabling Business Models for Next Generation Wireless Communications -- 2.6 Integrated Framework for Enabling Technologies and Enabling Business Models for Next Generation Wireless Communications -- 2.7 Conclusions -- Notes -- References -- Chapter 3: Enabling Technologies for Internet of Everything -- 3.1 Introduction -- 3.2 Enabling Technologies for IoE -- 3.2.1 Cloud Computing
3.2.2 Fog Computing -- 3.2.3 Edge Computing -- 3.2.4 Machine to Machine -- 3.2.5 Machine Learning -- 3.3 Data Management and Security in IoE -- 3.4 System Management and Protection for IoE -- 3.5 Applications of IoE -- 3.5.1 Healthcare -- 3.5.2 Power -- 3.5.3 Education System -- 3.5.4 Smart Environment -- 3.6 Enabling IoE in Developing Countries -- 3.7 Conclusion -- References -- Chapter 4: Power Allocation Techniques for Visible Light: Nonorthogonal Multiple Access Communication Systems -- 4.1 Introduction -- 4.2 Related Work -- 4.2.1 Visible Light Communication
4.2.2 Nonorthogonal Multiple Access -- 4.2.3 Visible Light-Nonorthogonal Multiple Access Communication System -- 4.3 Problem Formulation and Potential Contribution -- 4.4 System Model for VL-NOMA Communication System -- 4.5 Power Allocation Techniques with Decoding Order for VL-NOMA Communication Systems -- 4.6 Conventional Power Allocation Scheme for VL-NOMA Communication System -- 4.7 Inverse Power Allocation Scheme for VL-NOMA Communication System -- 4.8 Adaptive Power Allocation Scheme for VL-NOMA Communication System -- 4.9 Gain Ratio Power Allocation Scheme for VL-NOMA Communication System
Notes Description based upon print version of record
4.10 User Data Rate for GRPA VL-NOMA Communication System
Form Electronic book
Author Wajid, Mohd
Ansari, Mohd Dilshad
ISBN 9781000329001
1000329003