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5G Networks : Fundamental Requirements, Enabling Technologies, and Operations Management.

Author: Anwer Al-Dulaimi; Xianbin Wang; I Chih-Lin
Publisher: Newark : John Wiley & Sons, Incorporated, 2018.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Al-Dulaimi, Anwer.
5G Networks : Fundamental Requirements, Enabling Technologies, and Operations Management.
Newark : John Wiley & Sons, Incorporated, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Anwer Al-Dulaimi; Xianbin Wang; I Chih-Lin
ISBN: 9781119333944 1119333946
OCLC Number: 1053804143
Notes: 3.5.1 General Simulation Methodology and Assumptions.
Description: 1 online resource (787 pages)
Contents: 5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management; Contents; Foreword; Preface; Author Bios; List of Contributors; List of Abbreviations; Introduction; Part I: Physical Layer for 5G Radio Interface Technologies; Chapter 1: Emerging Technologies in Software, Hardware, and Management Aspects Toward the 5G Era: Trends and Challenges; 1.1 Introduction; 1.2 5G Requirements and Technology Trends; 1.3 Status and Challenges in Hardware and Software Development; 1.3.1 Problem Statement; 1.3.2 Solution; 1.3.2.1 Functions Definition (LTE, 3GPP-Based PHY Functions). 1.3.2.2 Parameters (KPIs)/ Constraints Definition1.3.2.3 Functional Graph (Dataflow Graph) Provision; 1.3.3 Optimization Problem Formulation; 1.3.4 Evolutionary Multiobjective Algorithmic Solution; 1.3.5 Testbed Setup; 1.3.6 Preliminary Test Results; 1.3.7 Status and Challenges in 5G Wireless Communications; 1.3.7.1 Novel Physical Layer Aspects; 1.3.7.2 Novel Frame Design Based on Service Requirements; 1.3.7.3 Support of Different Numerologies; 1.3.8 Enhanced Radio Resource Management (RRM) and MAC Adaptation for 5G; 1.4 5G Network Management Aspects Enhanced with Machine Learning. 1.4.1 Machine Learning for Service Classification in 5G Networks1.4.2 State-of-the-ArtMachine Learning Mechanisms for Traffic Classification; 1.4.3 Classification Approach and Evaluation Metrics; 1.4.4 Evaluation Performance of Classification Mechanisms; 1.5 Conclusion; References; Chapter 2: Waveform Design for 5G and Beyond; 2.1 Introduction; 2.2 Fundamentals of the 5G Waveform Design; 2.2.1 Waveform Definition; 2.2.2 5G Use Cases and Waveform Design Requirements; 2.2.3 The Baseline for 5G Waveform Discussion: CP-OFDM; 2.3 Major Waveform Candidates for 5G and Beyond. 2.3.1 Multicarrier Schemes2.3.1.1 Windowing; 2.3.1.2 Subcarrier-Wise Filtering; 2.3.1.3 Subband-Wise Filtered MCM; 2.3.2 Single-Carrier Schemes; 2.3.2.1 CP-DFT-s-OFDM; 2.3.2.2 ZT-DFT-s-OFDM; 2.3.2.3 UW-DFT-s-OFDM; 2.4 Summary; 2.5 Conclusions; References; Chapter 3: Full-Duplex System Design for 5G Access; 3.1 Introduction; 3.2 Self-Interference Cancellation; 3.2.1 General SIC Architectures; 3.2.2 Self-Interference Cancellation State of the Art; 3.3 FD System Design: Opportunities and Challenges; 3.3.1 New Interferences in FD Systems; 3.3.1.1 BS-to-BS Interference. 3.3.1.2 UE-to-UE Interference3.3.2 Efficient Interference Measurement; 3.3.3 Complexity and Latency Consideration; 3.4 Designing the FD System; 3.4.1 Overall Design for FD; 3.4.2 Design to Mitigate BS-to-BS Interference; 3.4.2.1 Elevation Beam Nulling; 3.4.2.2 Uplink Power Control; 3.4.3 Design to Mitigate UE-to-UE Interference; 3.4.3.1 Joint Downlink-Uplink Scheduler; 3.4.3.2 Channel Quality Indicator Feedback for Joint Scheduling; 3.4.3.3 Interference Measurement and Reference Signal Design; 3.4.3.4 IM-RS Signal; 3.5 System-Level Performance Analysis.

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