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E-raamat: SC-FDMA for Mobile Communications

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(King Saud University, Saudi Arabia), , ,
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Apr-2016
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781466510722
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SC-FDMA for Mobile CommunicationsSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 19-Apr-2016
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781466510722
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SC-FDMA for Mobile Communications examines Single-Carrier Frequency Division Multiple Access (SC-FDMA). Explaining this rapidly evolving system for mobile communications, it describes its advantages and limitations and outlines possible solutions for addressing its current limitations.

The book explores the emerging trend of cooperative communication with SC-FDMA and how it can improve the physical layer security. It considers the design of distributed coding schemes and protocols for wireless relay networks where users cooperate to send their data to the destination.

Supplying you with the required foundation in cooperative communication and cooperative diversity, it presents an improved Discrete Cosine Transform (DCT)-based SC-FDMA system. It introduces a distributed spacetime coding scheme and evaluates its performance and studies distributed SFC for broadband relay channels.





Presents relay selection schemes for improving the physical layer Introduces a new transceiver scheme for the SC-FDMA system Describes spacetime/frequency coding schemes for SC-FDMA Includes MATLAB® codes for all simulation experiments

The book investigates Carrier Frequency Offsets (CFO) for the Single-Input Single-Output (SISO) SC-FDMA system, and Multiple-Input Multiple-Output (MIMO) SC-FDMA system simulation software. Covering the design of cooperative diversity schemes for the SC-FDMA system in the uplink direction, it also introduces and studies a new transceiver scheme for the SC-FDMA system.
Preface xi
Authors xv
Chapter 1 Introduction
1(14)
1.1 Motivations for Single-Carrier Frequency Division Multiple Access
1(2)
1.2 Evolution of Cellular Wireless Communications
3(1)
1.3 Mobile Radio Channel
4(3)
1.3.1 Slow and Fast Fading
4(1)
1.3.2 Frequency-Flat and Frequency-Selective Fading
5(1)
1.3.3 Channel Equalization
6(1)
1.4 Multicarrier Communication Systems
7(5)
1.4.1 OFDM System
8(2)
1.4.2 OFDMA System
10(1)
1.4.3 MulticarrierCDMA System
10(2)
1.5 Single-Carrier Communication Systems
12(3)
1.5.1 SC-FDE System
12(2)
1.5.2 DFT-SC-FDMA System
14(1)
Chapter 2 DFT-SC-FDMA System
15(26)
2.1 Introduction
15(1)
2.2 Subcarrier Mapping Methods
16(1)
2.3 DFT-SC-FDMA System Model
17(4)
2.4 Time-Domain Symbols of the DFT-SC-FDMA System
21(2)
2.4.1 Time-Domain Symbols of the DFT-IFDMA System
21(1)
2.4.2 Time-Domain Symbols of the DFT-LFDMA System
22(1)
2.5 OFDMA vs. DFT-SC-FDMA
23(2)
2.6 Power Amplifier
25(2)
2.7 Peak Power Problem
27(2)
2.7.1 Sensitivity to Nonlinear Amplification
27(1)
2.7.2 Sensitivity to A/D and D/A Resolutions
27(1)
2.7.3 Peak-to-Average Power Ratio
27(2)
2.8 Pulse-Shaping Filters
29(1)
2.9 Simulation Examples
30(11)
2.9.1 Simulation Parameters
31(1)
2.9.2 CCDF Performance
31(3)
2.9.3 Impact of the Input Block Size
34(2)
2.9.4 Impact of the Output Block Size
36(2)
2.9.5 Impact of the Power Amplifier
38(3)
Chapter 3 DCT-SC-FDMA System
41(24)
3.1 Introduction
41(1)
3.2 DCT
42(1)
3.2.1 Definition of the DCT
42(1)
3.2.2 Energy Compaction Property of the DCT
43(1)
3.3 DCT-SC-FDMA System Model
43(4)
3.4 Complexity Evaluation
47(1)
3.5 Time-Domain Symbols of the DCT-SC-FDMA System
48(2)
3.5.1 Time-Domain Symbols of the DCT-IFDMA System
48(1)
3.5.2 Time-Domain Symbols of the DCT-LFDMA System
49(1)
3.6 Simulation Examples
50(15)
3.6.1 Simulation Parameters
51(1)
3.6.2 BER Performance
51(3)
3.6.3 CCDF Performance
54(6)
3.6.4 Impact of the Input Block Size
60(2)
3.6.5 Impact of the Output Block Size
62(1)
3.6.6 Impact of the Power Amplifier
62(3)
Chapter 4 Transceiver Schemes for SC-FDMA Systems
65(30)
4.1 Introduction
65(1)
4.2 PAPR Reduction Methods
66(3)
4.2.1 Clipping Method
67(1)
4.2.2 Companding Method
68(1)
4.2.3 Hybrid Clipping and Companding
69(1)
4.3 Discrete Wavelet Transform
69(4)
4.3.1 Implementation of the DWT
70(2)
4.3.2 Haar Wavelet Transform
72(1)
4.4 Wavelet-Based Transceiver Scheme
73(5)
4.4.1 Mathematical Model
73(5)
4.4.2 Two-Level Decomposition
78(1)
4.4.3 Complexity Evaluation
78(1)
4.5 Simulation Examples
78(17)
4.5.1 Simulation Parameters
78(1)
4.5.2 Results of the DFT-SC-FDMA System
79(9)
4.5.3 Results of the DCT-SC-FDMA System
88(7)
Chapter 5 Carrier Frequency Offsets in SC-FDMA Systems
95(34)
5.1 Introduction
95(3)
5.2 System Models in the Presence of CFOs
98(6)
5.2.1 DFT-SC-FDMA System Model
98(4)
5.2.2 DCT-SC-FDMA System Model
102(2)
5.3 Conventional CFOs Compensation Schemes
104(2)
5.3.1 Single-User Detector
104(1)
5.3.2 Circular-Convolution Detector
105(1)
5.4 MMSE Scheme
106(7)
5.4.1 Mathematical Model
106(2)
5.4.2 Banded-System Implementation
108(4)
5.4.3 Complexity Evaluation
112(1)
5.5 MMSE+PIC Scheme
113(2)
5.5.1 Mathematical Model
114(1)
5.6 Simulation Examples
115(14)
5.6.1 Simulation Parameters
116(1)
5.6.2 Impact of the CFOs
116(2)
5.6.3 Results of the MMSE Scheme
118(1)
5.6.3.1 DFT-SC-FDMA System
118(2)
5.6.3.2 DCT-SC-FDMA System
120(2)
5.6.4 Results of the MMSE+PIC Scheme
122(1)
5.6.4.1 DFT-SC-FDMA System
122(2)
5.6.4.2 DCT-SC-FDMA System
124(1)
5.6.5 Impact of Estimation Errors
125(1)
5.6.5.1 DFT-SC-FDMA System
125(1)
5.6.5.2 DCT-SC-FDMA System
126(3)
Chapter 6 Equalization and CFOs Compensation for MIMO SC-FDMA Systems
129(36)
6.1 Introduction
129(2)
6.2 MIMO System Models in the Absence of CFOs
131(5)
6.2.1 SM DFT-SC-FDMA System Model
131(3)
6.2.2 SFBC DFT-SC-FDMA System Model
134(1)
6.2.3 SFBC DCT-SC-FDMA System Model
135(1)
6.2.4 SM DCT-SC-FDMA System Model
136(1)
6.3 MIMO Equalization Schemes
136(1)
6.3.1 MIMO ZF Equalization Scheme
137(1)
6.3.2 MIMO MMSE Equalization Scheme
137(1)
6.4 LRZF Equalization Scheme
137(5)
6.4.1 Mathematical Model
137(3)
6.4.2 Complexity Evaluation
140(1)
6.4.2.1 DFT-SC-FDMA System
140(1)
6.4.2.2 DCT-SC-FDMA System
141(1)
6.5 MIMO System Models in the Presence of CFOs
142(2)
6.5.1 System Model
142(1)
6.5.2 Signal-to-Interference Ratio
143(1)
6.6 Joint Equalization and CFOs Compensation Schemes
144(3)
6.6.1 JLRZF Equalization Scheme
144(2)
6.6.2 JMMSE Equalization Scheme
146(1)
6.6.3 Complexity Evaluation
147(1)
6.7 Simulation Examples
147(18)
6.7.1 Simulation Parameters
148(1)
6.7.2 Absence of CFOs
148(1)
6.7.2.1 Results of the LRZF Equalization Scheme
148(6)
6.7.2.2 Impact of Estimation Errors
154(2)
6.7.3 Presence of CFOs
156(1)
6.7.3.1 Results of the JLRZF Equalization Scheme
156(4)
6.7.3.2 Results of the JMMSE Equalization Scheme
160(1)
6.7.3.3 Impact of Estimation Errors
161(4)
Chapter 7 Fundamentals of Cooperative Communications
165(24)
7.1 Introduction
165(3)
7.2 Diversity Techniques and MIMO Systems
168(4)
7.2.1 Diversity Techniques
168(3)
7.2.2 Multiple-Antenna Systems
171(1)
7.3 Classical Relay Channel
172(1)
7.4 Cooperative Communication
172(3)
7.5 Cooperative Diversity Protocols
175(5)
7.5.1 Direct Transmission
175(1)
7.5.2 Amplify and Forward
176(1)
7.5.3 Fixed Decode and Forward
177(1)
7.5.4 Selection Decode and Forward
177(3)
7.5.5 Compress and Forward
180(1)
7.6 Cooperative Diversity Techniques
180(9)
7.6.1 Cooperative Diversity Based on Repetition Coding
181(2)
7.6.2 Cooperative Diversity Based on Space-Time Coding
183(2)
7.6.3 Cooperative Diversity Based on Relay Selection
185(3)
7.6.4 Cooperative Diversity Based on Channel Coding
188(1)
Chapter 8 Cooperative Space-Time/Frequency Coding Schemes for SC-FDMA Systems
189(22)
8.1 SC-FDMA System Model
190(5)
8.1.1 SISO SC-FDMA System Model
190(3)
8.1.2 MIMO SC-FDMA System Model
193(2)
8.2 Cooperative Space-Frequency Coding for SC-FDMA System
195(8)
8.2.1 Motivation and Cooperation Strategy
195(3)
8.2.2 Cooperative Space-Frequency Code for SC-FDMA with the DF Protocol
198(4)
8.2.2.1 Peak-to-Average Power Ratio
202(1)
8.3 Cooperative Space-Time Code for SC-FDMA
203(2)
8.4 Simulation Examples
205(6)
Chapter 9 Relaying Techniques for Improving the Physical Layer Security
211(28)
9.1 System and Channel Models
214(3)
9.2 Relay and Jammers Selection Schemes
217(12)
9.2.1 Selection Schemes with Noncooperative Eavesdroppers
217(2)
9.2.1.1 Noncooperative Eavesdroppers without Jamming (NC)
219(2)
9.2.1.2 Noncooperative Eavesdroppers with Jamming (NCJ)
221(3)
9.2.1.3 Noncooperative Eavesdroppers with Controlled Jamming (NCCJ)
224(2)
9.2.2 Selection Schemes with Cooperative Eavesdroppers
226(1)
9.2.2.1 Cooperative Eavesdroppers without Jamming (Cw/oJ)
226(1)
9.2.2.2 Cooperative Eavesdroppers with Jamming (CJ)
227(1)
9.2.2.3 Cooperative Eavesdroppers with Controlled Jamming (CCJ)
228(1)
9.3 Simulation Examples
229(10)
Appendix A Channel Models 239(2)
Appendix B Derivation of the Interference Coefficients for the DFT-SC-FDMA System over an AWGN Channel 241(4)
Appendix C Derivation of the Interference Coefficients for the DCT-SC-FDMA System over an AWGN Channel 245(8)
Appendix D Derivation of the Optimum Solution of the JLRZF Scheme in
Chapter 6		 253(4)
Appendix E Derivations for
Chapter 9		 257(6)
Appendix F MATLAB® Simulation Codes for
Chapters 2 through 6		 263(36)
Appendix G MATLAB® Simulation Codes for
Chapters 7 through 9		 299(42)
References 341(12)
Index 353
Fathi E. Abd El-Samie received his BSc (Honors), MSc, and PhD from Menoufia University, Menouf, Egypt, in 1998, 2001, and 2005, respectively. Since 2005, he has been a teaching staff member with the Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University. He currently serves as a researcher at KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICs). He is a coauthor of about 200 papers in international conference proceedings and journals and of 4 textbooks. His research interests include image enhancement, image restoration, image interpolation, super-resolution reconstruction of images, data hiding, multimedia communications, medical image processing, optical signal processing, and digital communications. Dr. Abd El-Samie received the Most Cited Paper Award from the Digital Signal Processing journal in 2008.

Faisal S. Al-Kamali received his BSc in electronics and communications engineering from the Faculty of Engineering, Baghdad University, Baghdad, Iraq, in 2001. He received his MSc and PhD in communication engineering from the Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt, in 2008 and 2011, respectively. He joined the teaching staff of the Department of Electrical Engineering, Faculty of Engineering and Architecture, Ibb University, Ibb, Yemen, in 2011. He is a coauthor of several papers in international conferences and journals. His research interests include CDMA systems, OFDMA systems, single-carrier FDMA (SC-FDMA) system, MIMO systems, interference cancellation, synchronization, channel equalization, and channel estimation.

Azzam Y. Al-nahari received his BSc in electronics and communications engineering from the University of Technology, Baghdad, Iraq. He received his MSc and PhD from Menoufia University, Egypt, in 2008 and 2011, respectively. He was also a postdoctoral fellow in the Department of Electrical and Information Technology, Lund University, Sweden. He currently serves as an assistant professor in the Department of Electrical Engineering, Ibb University, Yemen. His research interests include MIMO systems, OFDM, cooperative communications and physical layer security.

Moawad I. Dessouky received his BSc (Honors) and MSc from the Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt, in 1976 and 1981, respectively, and his PhD from McMaster University, Canada, in 1986. He joined the teaching staff of the Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt, in 1986. He has published more than 200 scientific papers in national and international conference proceedings and journals. He currently serves as the vice dean of the Faculty of Electronic Engineering, Menoufia University. Dr. Dessouky received the Most Cited Paper Award from Digital Signal Processing journal in 2008. His research interests include spectral estimation techniques, image enhancement, image restoration, super-resolution reconstruction of images, satellite communications, and spread spectrum techniques.
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