Chen / Cheng Resource Allocation for OFDMA Systems

1. Auflage 2019
ISBN: 978-3-030-19392-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 140 Seiten

Reihe: Wireless Networks

This book introduces the sources and historic collection campaigns of resource allocation in wireless communication systems. The unique characteristics of MIMO-OFDMA systems are thoroughly studied and summarized. Remarks on resource allocation and spectrum sharing are also presented, which demonstrate the great value of resource allocation techniques, but also introduce distinct challenges of resource allocation in MIMO-OFDMA systems. Novel resource allocation techniques for OFDMA Systems are surveyed from various applications  (e.g., for unicast, or multicast with Guaranteed BER and Rate, subcarrier and power allocation with various detectors, low-complexity energyefficient resource allocation, etc.) in this book.
Due to the high mobility and low latency requirements of 5G wireless communications, this book discusses how to deal with the imperfect CSI. It also discusses how to deal with e.g., throughput maximization, outage probabilities maximization and guarantee, energy efficiency, physical-layer security issues with feedback channel capacity constraints, in order to characterize and understand the applications of practical scenes.
This book will target professionals & researchers working in the fields of Wireless Communications and Networking, Resource Allocation and Transmissions. Advanced-level students in electrical  engineering and computer science will also find this book useful as a secondary textbook.

Chen Chen received the Ph.D. degree from Peking University, China, in 2009. He is currently an Associate Professor with Peking University. Since 2010, he has been the principal investigator of over ten funded research projects. He has authored or co-authored over 100 journal and conference papers, and 3 books. His current research interests include signal processing, wireless communications and networking. He was a recipient of two Outstanding Paper Awards from the Chinese Government of Beijing in 2013 and 2018, respectively, and the Best Paper Awards of IEEE ICNC'17, ICCS'18, and Globecom'18. He has served as the symposium Co-Chair, Session Chair, and a member of the Technical Program Committee for several international conferences. He is currently an Associate Editor of the IET Communications.
Xiang Cheng received the Ph.D. degree from Heriot-Watt University, Edinburgh, U.K., and the University of Edinburgh, Edinburgh, in 2009. He is currently a Professor with Peking University, Beijing, China. He has authored or co-authored over 200 journal and conference papers, 5 books, and 7 patents. His publications have received nearly 5652 Google Scholar citations with an h-index of 36, and i10-index of 95. His current research interests include channel modeling and mobile communications. He was a recipient of the IEEE Asia-Pacific Outstanding Young Researcher Award in 2015 and the Postgraduate Research Thesis Prize from the University of Edinburgh and a co-recipient of the 2016 IEEE JSAC Best Paper Award: Leonard G. Abraham Prize, the NSFC Outstanding Young Investigator Award, the First-Rank and Second-Rank Awards in Natural Science, Ministry of Education in China, and the Best Paper Award of IEEE ITST'12, ICCC'13, ITSC'14, ICC'16, ICNC'17, ICCS'18, and Globecom'18. He has served as the symposium Leading-Chair, the Co-Chair, and a member of the Technical Program Committee for several international conferences. He is currently an Associate Editor of the IEEE Transactions on Intelligent Transportation Systems, and the Journal of Communications and Information Networks. He is an IEEE Distinguished Lecturer.

Autoren/Hrsg.

Chen, Chen

Cheng, Xiang

Inhaltsverzeichnis

1;Preface;6
2;Acknowledgements;8
3;Contents;9
4;Chapter 1: Introduction;12
4.1;1.1 OFDM/OFDMA Technology;12
4.2;1.2 Radio Resource Allocation Technology;13
4.3;1.3 The Organizational Structure;15
4.4;References;16
5;Chapter 2: Overview of OFDMA and MIMO Systems;17
5.1;2.1 Review;17
5.2;2.2 Channel Characteristics of Mobile Communication;18
5.2.1;2.2.1 Large-Scale Fading;18
5.2.2;2.2.2 Mesoscale Decline;19
5.2.3;2.2.3 Small-Scale Decline;19
5.2.4;2.2.4 Channel Interference;20
5.3;2.3 Multiuser MIMO;21
5.3.1;2.3.1 Signal Detection Method;23
5.3.2;2.3.2 Single-User Selection;24
5.3.3;2.3.3 Multiuser Selection;25
5.4;2.4 OFDMA System;27
5.4.1;2.4.1 OFDM Principle;27
5.4.2;2.4.2 Unicast and Multicast OFDMA Systems;29
5.5;References;31
6;Chapter 3: Remarks on Resource Allocation;33
6.1;3.1 Review;33
6.2;3.2 Dynamic Spectrum Sharing Model and Method Overview;34
6.2.1;3.2.1 Concept;34
6.2.2;3.2.2 Dynamic Spectrum Sharing Method and Classification;36
6.2.3;3.2.3 Current Research Hotspot;40
6.3;3.3 The Theory of OFDMA System Resource Allocation;41
6.3.1;3.3.1 Optimization Theory;42
6.3.1.1;Convex Optimization Problems;42
6.3.1.2;Linear Programming Problems;43
6.3.1.3;Integer Planning Problems;44
6.3.2;3.3.2 Optimal Solution Algorithm;44
6.3.2.1;The KKT (Karush-Kuhn-Tucker) Point for Optimization Problems;45
6.3.2.2;Gradient Method;46
6.3.2.3;Interior Point Method;46
6.3.2.4;Enumeration Algorithm;47
6.3.2.5;Branch-and-Bound Method;48
6.3.3;3.3.3 Suboptimal Solution Algorithm;49
6.3.3.1;Relaxation Constraint Algorithm;49
6.3.3.2;Duality Algorithm;49
6.3.3.3;Alternate Algorithm;50
6.3.3.4;Greedy Algorithm;51
6.4;References;52
7;Chapter 4: Resource Allocation for OFDMA Systems;53
7.1;4.1 Introduction;53
7.1.1;4.1.1 Resource Allocation for Multicast OFDMA Systems;53
7.1.2;4.1.2 Resource Allocation for MIMO-OFDMA Systems;54
7.1.3;4.1.3 Resource Allocation for Energy Efficiency in OFDMA Systems;55
7.2;4.2 Adaptive Resource Allocation for Multicast OFDMA Systems with Guaranteed BER and Rate;56
7.2.1;4.2.1 System Model and Problem Formulation;56
7.2.2;4.2.2 Optimal Algorithm;58
7.2.3;4.2.3 Suboptimal Algorithm;60
7.2.3.1;Bit Loading;61
7.2.3.2;Target Symbol Error Rate Adjusting;61
7.2.4;4.2.4 Simulation Results;65
7.2.5;4.2.5 Conclusion;68
7.3;4.3 Subcarrier and Power Allocation for Multiuser MIMO-OFDM Systems with Various Detectors;68
7.3.1;4.3.1 System Model and Problem Formulation;68
7.3.2;4.3.2 Subcarrier and Power Allocation;70
7.3.2.1;ML Detector;70
7.3.2.2;Linear Detector;72
7.3.2.3;SIC Detector;74
7.3.3;4.3.3 Simulation Results;75
7.3.4;4.3.4 Conclusion;79
7.4;4.4 Low-Complexity Energy-Efficient Subcarrier Assignment in Uplink OFDMA Systems;80
7.4.1;4.4.1 System Model and Problem Formulation;80
7.4.2;4.4.2 Energy-Efficient Subcarrier Assignment;81
7.4.2.1;Analysis of Energy Efficiency with Subcarriers;81
7.4.2.2;Energy-Efficient Subcarrier Assignment Algorithm;86
7.4.3;4.4.3 Simulation Results;88
7.4.4;4.4.4 Conclusion;89
7.5;4.5 Summary;89
7.6;References;90
8;Chapter 5: Dealing with Imperfect CSI;92
8.1;5.1 Introduction;92
8.2;5.2 Channel Model with Imperfect CSI;94
8.2.1;5.2.1 Nosie and Estimation Error;94
8.2.2;5.2.2 CSI Feedback Delay;95
8.2.3;5.2.3 Finite-Rate Feedback of Downlink CSI;97
8.3;5.3 Downlink Ergodic Throughput Maximization for OFDMA Systems with Feedback Channel Capacity Constraints;99
8.3.1;5.3.1 Problem Formulation;99
8.3.2;5.3.2 Optimal Solution;100
8.3.3;5.3.3 Suboptimal Algorithm;101
8.3.3.1;Subcarrier Allocation;101
8.3.3.2;Power Allocation;101
8.3.4;5.3.4 Simulation Results;102
8.3.5;5.3.5 Conclusion;103
8.4;5.4 Resource Allocation for Maximizing Outage Throughput in OFDMA Systems with Finite-Rate Feedback;103
8.4.1;5.4.1 Problem Formulation;103
8.4.2;5.4.2 Upper Bound of the Optimal Solution;105
8.4.3;5.4.3 Suboptimal Solution;106
8.4.3.1;Subcarrier Algorithm;106
8.4.3.2;Power Allocation;107
8.4.4;5.4.4 Simulation Results;108
8.4.5;5.4.5 Conclusion;110
8.5;5.5 Resource Allocation for OFDMA Systems with Guaranteed Outage Probabilities;110
8.5.1;5.5.1 Problem Formulation;110
8.5.2;5.5.2 Optimal Solution;111
8.5.3;5.5.3 Suboptimal Solution;111
8.5.3.1;Subcarrier Allocation;112
8.5.3.2;Power Allocation;113
8.5.4;5.5.4 Simulation Results;114
8.5.5;5.5.5 Conclusion;117
8.6;5.6 Energy Efficiency Maximization for Downlink OFDMA Systems with Feedback Channel Capacity Constraints;117
8.6.1;5.6.1 Problem Formulation;117
8.6.2;5.6.2 Energy-Efficient Resource Allocation with Quantized CSI;119
8.6.3;5.6.3 Simulation Results;123
8.6.4;5.6.4 Conclusion;125
8.7;5.7 Resource Allocation for Physical-layer Security in OFDMA Downlink with Imperfect CSI;125
8.7.1;5.7.1 System Model and Problem Formulation;125
8.7.2;5.7.2 Optimal Power Allocation Algorithm When Subcarrier Assignment Is Fixed;129
8.7.3;5.7.3 Greedy Subcarrier Allocation Algorithm;132
8.7.4;5.7.4 Simulation Results;134
8.7.5;5.7.5 Conclusion;136
8.8;5.8 Summary;137
8.9;References;137
9;Summary and Outlook;139
9.1;Summary;139
9.2;Outlook;140