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5G New Radio Non-Orthogonal Multiple Access [Kõva köide]

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  • Formaat: Hardback, 329 pages, kõrgus x laius: 234x156 mm, kaal: 900 g, 47 Tables, black and white; 189 Line drawings, black and white; 189 Illustrations, black and white
  • Ilmumisaeg: 12-Dec-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032372753
  • ISBN-13: 9781032372754
Teised raamatud teemal:
5G New Radio Non-Orthogonal Multiple AccessSuurem pilt
  • Formaat: Hardback, 329 pages, kõrgus x laius: 234x156 mm, kaal: 900 g, 47 Tables, black and white; 189 Line drawings, black and white; 189 Illustrations, black and white
  • Ilmumisaeg: 12-Dec-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032372753
  • ISBN-13: 9781032372754
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781032372754.html
Märksõnad:
This book provides detailed descriptions of downlink non-orthogonal multiple transmissions and uplink non-orthogonal multiple access (NOMA) from the aspects of majorly used 5G new radio scenarios and system performance.

For the downlink, the discussion focuses on the candidate schemes in 3GPP standards which are not only applicable to unicast services but also to broadcast/multicast scenarios. For the uplink, the main target scenario is massive machine-type communications where grant-free transmission can reduce signaling overhead, power consumption of devices and access delays. The design principles of several uplink NOMA schemes are discussed in-depth, together with the analysis of their performances and receiver complexities.

Devoted to the basic technologies of NOMA and its theoretical principles, data analysis, basic algorithms, evaluation methodology and simulation results, this book will be an essential read for researchers and students of digital communications, wireless communications engineers and those who are interested in mobile communications in general.
Foreword xiii
Preface xv
Authors xvii
Abbreviations xix
Chapter 1 Introduction
1(10)
Yifei Yuan
1.1 Evolution Of Mobile Communications
1(3)
1.2 System Requirements For 5G Mobile Communications
4(5)
1.2.1 Major Use Scenarios and Deployment Scenarios
4(2)
1.2.2 Key Performance Indicators
6(2)
1.2.3 General Methodology for Performance Evaluation
8(1)
1.3 Major Types Of Schemes For Downlink Noma
9(1)
1.4 Major Types Of Schemes For Uplink Noma
9(2)
References
10(1)
Chapter 2 Basics of Downlink Multiple Access
11(46)
Yifei Yuan
Zhifeng Yuan
Jianqiang Dai
Hong Tang
2.1 Principle Of Downlink Multiple Access
11(8)
2.2 Simulation Evaluation Methodology
19(13)
2.2.1 Parameters and Metrics for Link-Level Simulations
19(2)
2.2.2 Link to System Mapping
21(1)
2.2.2.1 Algorithm and Link to System Mapping for ML Receivers
21(3)
2.2.2.2 Link to System Mapping for CWIC, SLIC and MMSE-IRC Receivers
24(2)
2.2.3 Parameters for System-Level Simulations
26(1)
2.2.3.1 Deployment Scenarios and Cell Topology
26(2)
2.2.3.2 Traffic Models and Metrics
28(1)
2.2.4 Scheduling Algorithms
28(1)
2.2.4.1 Criterion for User Pairing
28(3)
2.2.4.2 Transmit Power Allocation
31(1)
2.2.4.3 Calculation of SINR for NOMA
31(1)
2.2.4.4 Calculation of the PF Metric
31(1)
2.2.4.5 Procedure of Scheduling
32(1)
2.3 Direct Superposition Of Symbols
32(4)
2.3.1 Transmitter-Side Processing
33(1)
2.3.2 Receiver Algorithm
34(2)
2.4 Gray Mapping With Flexible Power Ratios
36(5)
2.4.1 Transmitter-Side Processing
36(1)
2.4.1.1 Superposition with Mirror Transformation
37(1)
2.4.1.2 Inclusive OR of Bits
38(3)
2.4.2 Receiver Algorithms
41(1)
2.5 Bit Partition
41(2)
2.5.1 Transmitter-Side Processing
43(1)
2.5.2 Receiver Algorithms
43(1)
2.6 Performance Evaluation
43(9)
2.6.1 Link-Level Performance
43(3)
2.6.2 System Performance
46(1)
2.6.2.1 Full-Buffer Traffic and Wideband Scheduling
46(1)
2.6.2.2 FTP Traffic, Two Transmit Antennas, Wideband Scheduling
47(3)
2.6.2.3 FTP Traffic, Two Transmit Antennas, and Sub-Band Scheduling
50(2)
2.7 Other Techniques
52(5)
2.7.1 Tomlinson-Harashima Precoding
52(3)
References
55(2)
Chapter 3 Non-Orthogonal Transmission for Downlink Broadcast/Multicast
57(12)
Yifei Yuan
Hong Tang
Weimin Li
3.1 Application Scenarios
57(2)
3.2 Brief Introduction Of Physical Multicast Channel (Pmch) In Lte
59(3)
3.3 Non-Orthogonal Transmission For Broadcast/Multicast Services
62(1)
3.4 Performance Evaluation Via Simulation
63(6)
References
68(1)
Chapter 4 Standardization of Downlink Superposition Transmission
69(24)
Jianqiang Dai
Yifei Yuan
4.1 Merged Solution Of Downlink Noma
70(6)
4.1.1 Unification of MUST Category 2
70(1)
4.1.2 For Case 1 and Case 2, the Modulation Order of Far User Is Limited to QPSK
71(1)
4.1.3 Power Allocation for Case 1/Case 2, and Finalizing the Solution
72(4)
4.2 Brief Introduction Of Downlink Physical Control Signaling For Must
76(8)
4.2.1 Identified Potential Assistance Information during the Study Item Phase
77(1)
4.2.2 Criteria for Downlink Control Signaling Design
78(4)
4.2.3 Trimming of Potential Assistance Information
82(2)
4.3 SIGNALING FOR MUST CASE 1/2
84(2)
4.4 SIGNALING FOR MUST CASE 3
86(7)
References
91(2)
Chapter 5 General Discussion of Uplink Non-Orthogonal Multiple Access
93(28)
Yifei Yuan
Zhifeng Yuan
Nan Zhang
Weimin Li
Ziyang Li
Qiujin Guo
Jian Li
5.1 Grant-Free Access
93(17)
5.1.1 Scenario Analysis
93(9)
5.1.2 Basic Procedure
102(1)
5.1.2.1 Transmission in RRC Inactive
103(1)
5.1.2.2 Two-Step Random Access (2-step RACH)
104(6)
5.2 Brief Discussion On Evaluation Methodology
110(5)
5.2.1 Overall Configuration of Link-Level Simulations and Evaluation Metrics
110(1)
5.2.2 General Simulation Setting for System-Level Simulations and Evaluation Metrics
111(1)
5.2.2.1 mMTC Scenario
111(2)
5.2.2.2 eMBB Small-Data Scenario
113(1)
5.2.2.3 uRLLC Scenario
114(1)
5.3 Brief Introduction Of The Noma Transmitter And Receiver
115(6)
References
119(2)
Chapter 6 Uplink Transmitter-Side Solutions and Receiver Algorithms
121(98)
Yifei Yuan
Zhifeng Yuan
Li Tian
Chen Huang
Yuzhou Hu
Chunlin Yan
Ziyang Li
6.1 Short Sequence-Based Linear Spreading And Typical Receiver Algorithms
121(45)
6.1.1 Design Principles
122(1)
6.1.1.1 TSC-Bound Equality (TBE) Codebooks
123(3)
6.1.1.2 Welch Bound Codebooks and Equiangular Tight Frame (ETF) Codebooks
126(1)
6.1.1.3 Specific Design Criteria Considering Deployment Scenarios
127(3)
6.1.1.4 Other Design Criteria
130(1)
6.1.2 Description of Specific Codebooks
131(1)
6.1.2.1 Codebooks with Highly Quantized Elements (MUSA and NOCA)
132(3)
6.1.2.2 Sequences Satisfying Total-Squared-Correlation Bound (TBE)
135(2)
6.1.2.3 Cyclic Difference Set ETF and Grassmannian Sequence (NCMA)
137(3)
6.1.2.4 General Total Squared Correlation Bound Equality (GTBE) Sequences, e.g., UGMA
140(3)
6.1.2.5 Sparse Spreading Sequences, e.g., PDMA
143(1)
6.1.2.6 Summary
144(5)
6.1.3 Symbol-Level Scrambling
149(3)
6.1.4 MMSE Hard IC Receiver Algorithms and Complexity Analysis
152(1)
6.1.4.1 MMSE Hard Interference Cancelation Receiver
152(2)
6.1.4.2 Analysis of Computation Complexity
154(12)
6.2 Bit-Level-Based Schemes And Typical Receivers
166(25)
6.2.1 Transmitter-Side Schemes
166(1)
6.2.1.1 Interleaver-Based Bit-Level Processing
166(13)
6.2.1.2 Bit Scrambler-Based Processing
179(1)
6.2.2 ESE + SISO Receiver and Complexity Analysis
180(1)
6.2.2.1 ESE + SISO Receiver Algorithms
180(7)
6.2.2.2 Complexity Analysis of the ESE + SISO Receiver
187(4)
6.3 Multi-Dimensional Modulation-Based Spreading And Typical Receivers
191(20)
6.3.1 Introduction of SCMA
191(5)
6.3.1.1 Multi-Symbol Joint Modulation
196(1)
6.3.1.2 Sparse resource mapping
197(1)
6.3.1.3 Codebook Resource Pool
198(1)
6.3.2 EPA + SISO Receiver Algorithm and Complexity Analysis
198(1)
6.3.2.1 Principle of EPA
198(9)
6.3.2.2 Complexity Analysis of the EPA Receiver
207(4)
6.4 Multi-Branch Transmission
211(8)
References
216(3)
Chapter 7 Performance Evaluation of Uplink Contention-free Grant-free NOMA Transmissions
219(60)
Ziyang Li
Qiujin Cuo
Hong Tang
Weimin Li
Jian Li
Yifei Yuan
Chen Huang
Li Tian
7.1 Simulation Parameters
219(15)
7.1.1 Simulation Parameters for the Link Level
219(5)
7.1.2 Link-to-System Mapping
224(2)
7.1.2.1 User Identification and Channel Estimation
226(1)
7.1.2.2 To Calculate the SINR of the Target User Based on the MMSE Criterion
226(2)
7.1.2.3 To Obtain the Effective SINR and BLER
228(1)
7.1.2.4 To Perform Interference Cancellation
229(5)
7.1.3 System Simulation Parameters
234(1)
7.2 Analysis Of Link-Level Simulation
234(23)
7.2.1 Simulation Cases for Low-to-Medium Spectral Efficiency
238(1)
7.2.1.1 Simulation Case 1
238(2)
7.2.1.2 Simulation Case 2
240(1)
7.2.1.3 Simulation Case 14
241(2)
7.2.1.4 Simulation Case 16
243(1)
7.2.1.5 Simulation Case 18
243(2)
7.2.2 High-Spectral-Efficiency Operation
245(1)
7.2.2.1 Simulation Case 3
245(2)
7.2.2.2 Simulation Case 4
247(1)
7.2.2.3 Simulation Case 5
248(2)
7.2.2.4 Simulation Case 15
250(2)
7.2.2.5 Simulation Case 17
252(1)
7.2.2.6 Simulation Case 20
253(4)
7.3 System-Level Performance
257(13)
7.3.1 mMTC Scenario
257(1)
7.3.1.1 Case 1: Each User Is Allocated 1 PRB +1 ms of Time-Frequency Resources in the Baseline; for MUSA, Each Use Transmits in 1 PRB + 4 ms of Time-Frequency Resources
257(1)
7.3.1.2 Case 2: Each User Occupies 6 PRBs + 1 ms Time-Frequency Resource for Both the Baseline and MUSA
258(3)
7.3.1.3 Case 3: Each User Occupies 1 PRB + 6ms Time-Frequency Resource for Both the Baseline and MUSA
261(3)
7.3.2 eMBB Small Data Scenario
264(1)
7.3.2.1 Case 1: Each User in the Baseline Occupies 3 PRBs +1 ms Time and Frequency Resource; Each User in MUSA Occupies 12 PRB + 1 ms Time and Frequency Resource
264(2)
7.3.2.2 Case 2: Each User Occupies 12 PRBs + 1 ms Time and Frequency Resource in Both the Baseline and MUSA
266(1)
7.3.3 uRLLC Scenario
266(1)
7.3.3.1 Case 1: Each User Occupies 3 PRBs + 0.25 ms Time and Frequency Resource in the Baseline and 12 PRBs + 0.25 ms Resource in MUSA
266(3)
7.3.3.2 Case 2: Each User Occupies 12 PRBs + 0.25 ms Time and Frequency Resource in the Baseline and MUSA
269(1)
7.4 Peak-To-Average Power Ratio
270(9)
7.4.1 CP-OFDM Waveform
270(3)
7.4.2 DFT-S-OFDM Waveform
273(5)
References
278(1)
Chapter 8 System Design and Performance Evaluation of Contention-based Grant-free NOMA Transmissions
279(50)
Nan Zhang
Wei Cao
Zhifeng Yuan
Jianqiang Dai
Ziyang Li
Hong Tang
Weimin Li
Jian Li
Yihua Ma
8.1 Procedure Of Contention-Based Grant-Free Access
279(2)
8.2 Preamble + Data Channel Structure
281(7)
8.2.1 Candidate Channel Structure
281(2)
8.2.2 Function Description
283(1)
8.2.2.1 User Detection
283(1)
8.2.2.2 Data Detection
284(1)
8.2.3 Basic Design Aspects
285(1)
8.2.3.1 Time and Frequency Resource Allocation
285(1)
8.2.3.2 Sequences
286(2)
8.3 Data-Only Solution
288(21)
8.3.1 Channel Structure
289(1)
8.3.2 Receiver Algorithm
290(2)
8.3.2.1 Blind Detection for the Data-Only Solution of Single Receiver Antennas
292(11)
8.3.2.2 Blind Receiver for Data-Only Solution under Multiple Receiver Antennas
303(6)
8.4 Dmrs Enhancements
309(5)
8.4.1 Enhanced Designs
309(5)
8.4.1.1 Configuration Signaling
314(1)
8.5 Performance Evaluation And Methodology
314(6)
8.5.1 Line-Level Simulation Parameters
314(2)
8.5.2 Link to System Mapping (PHY Abstraction)
316(1)
8.5.2.1 Preamble or Reference Signal-Based
316(1)
8.5.2.2 Validation of LS Channel Estimation
317(1)
8.5.2.3 Validation of Link to System Mapping
317(1)
8.5.2.4 Data-Only-Based
317(3)
8.6 Performance Evaluations
320(9)
8.6.1 Link-Level Simulation Results
320(7)
8.6.2 System-Level Simulation Results
327(1)
8.6.2.1 Data-Only Solution
327(1)
8.6.2.2 (Preamble + Data) Solution
328(1)
References 329
Yifei Yuan is Chief Expert of China Mobile Research Institute. Dr. Yuan graduated from Tsinghua University and Carnegie Mellon University. He specializes in the research and standardization of key air-interface technologies for 3G, 4G, 5G and 6G mobile networks. He has more than 20 years of experience at Bell Labs, ZTE and China Mobile.

Zhifeng Yuan is Senior Expert in the Algorithm Department of ZTE Corporation. With more than 15 years of experience at ZTE Corporation, he focuses on transmitter designs and advanced receiver algorithms of non-orthogonal multiple access (NOMA), channel coding, modulations and waveform for mobile communications.