SC-FDMA for Mobile Communications

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 space–time 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 space–time/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.

Introduction Motivations for Single-Carrier Frequency Division Multiple Access Evolution of Cellular Wireless Communications Mobile Radio Channel Slow and Fast Fading Frequency-Flat and Frequency-Selective Fading Channel Equalization Multicarrier Communication Systems OFDM System OFDMA System 1 Multicarrier CDMA System 1Single-Carrier Communication Systems SC-FDE System DFT-SC-FDMA System DFT-SC-FDMA System IntroductionSubcarrier Mapping Methods DFT-SC-FDMA System Model Time-Domain Symbols of the DFT-SC-FDMA System Time-Domain Symbols of the DFT-IFDMA System Time-Domain Symbols of the DFT-LFDMA System OFDMA vs. DFT-SC-FDMA Power AmplifierPeak Power Problem Sensitivity to Nonlinear Amplification Sensitivity to A/D and D/A Resolutions Peak-to-Average Power Ratio Pulse-Shaping Filters Simulation Examples Simulation Parameters CCDF Performance Impact of the Input Block Size Impact of the Output Block Size Impact of the Power Amplifier DCT-SC-FDMA System Introduction DCT Definition of the DCT Energy Compaction Property of the DCT DCT-SC-FDMA System ModelComplexity EvaluationTime-Domain Symbols of the DCT-SC-FDMA System Time-Domain Symbols of the DCT-IFDMA System Time-Domain Symbols of the DCT-LFDMA SystemSimulation Examples Simulation Parameters BER Performance CCDF PerformanceImpact of the Input Block Size Impact of the Output Block Size Impact of the Power Amplifier Transceiver Schemes for SC-FDMA Systems Introduction PAPR Reduction Methods Clipping Method Companding Method Hybrid Clipping and Companding Discrete Wavelet Transform Implementation of the DWT Haar Wavelet TransformWavelet-based Transceiver Scheme Mathematical Model Two-Level Decomposition Complexity Evaluation Simulation ExamplesSimulation Parameters Results of the DFT-SC-FDMA System Results of the DCT-SC-FDMA System Carrier Frequency Offsets in SC-FDMA Systems Introduction System Models in the Presence of CFOs DFT-SC-FDMA System Model DCT-SC-FDMA System Model Conventional CFOs Compensation Schemes Single-User Detector Circular-Convolution Detector MMSE Scheme Mathematical Model Banded-System Implementation Complexity Evaluation MMSE+PIC Scheme Mathematical Model Simulation Examples Simulation Parameters Impact of the CFOs Results of the MMSE Scheme DFT-SC-FDMA System DCT-SC-FDMA System Results of the MMSE+PIC Scheme DFT-SC-FDMA System DCT-SC-FDMA System Impact of Estimation Errors DFT-SC-FDMA System DCT-SC-FDMA System Equalization and CFOs Compensation for MIMO SC-FDMA Systems Introduction MIMO System Models in the Absence of CFOs SM DFT-SC-FDMA System Model SFBC DFT-SC-FDMA System ModelSFBC DCT-SC-FDMA System Model SM DCT-SC-FDMA System ModelMIMO Equalization Schemes MIMO ZF Equalization Scheme MIMO MMSE Equalization Scheme LRZF Equalization Scheme Mathematical Model Complexity Evaluation DFT-SC-FDMA System DCT-SC-FDMA System MIMO System Models in the Presence of CFOs System Model Signal-to-Interference RatioJoint Equalization and CFOs Compensation Schemes JLRZF Equalization Scheme JMMSE Equalization Scheme Complexity Evaluation Simulation Examples Simulation Parameters Absence of CFOs Results of the LRZFEqualization Scheme Impact of Estimation Errors Presence of CFOs Results of the JLRZFEqualization Scheme Results of the JMMSEEqualization Scheme Impact of Estimation Errors Fundamentals of Cooperative CommunicationsIntroduction Diversity Techniques and MIMO SystemsDiversity Techniques Multiple-Antenna Systems Classical Relay Channel Cooperative Communication Cooperative Diversity Protocols Direct Transmission Amplify and Forward Fixed Decode and Forward Selection Decode and Forward Compress and Forward Cooperative Diversity Techniques Cooperative Diversity Based on Repetition Coding Cooperative Diversity Based on Space–Time Coding Cooperative Diversity Based on Relay Selection Cooperative Diversity Based on Channel Coding Cooperative Space–Time /Frequency Coding Schemes for SC-FDMA Systems SC-FDMA System Model SISO SC-FDMA System Model MIMO SC-FDMA System ModelCooperative Space–Frequency Coding for SC-FDMA System Motivation and Cooperation Strategy Cooperative Space–Frequency Code for SC-FDMA with the DF Protocol Peak-to-Average Power Ratio Cooperative Space–Time Code for SC-FDMASimulation ExamplesRelaying Techniques for Improving the Physical Layer Security System and Channel Models Relay and Jammers Selection Schemes Selection Schemes with Noncooperative Eavesdroppers Noncooperative Eavesdroppers without Jamming (NC) Noncooperative Eavesdroppers with Jamming (NCJ) Noncooperative Eavesdroppers with Controlled Jamming (NCCJ) Selection Schemes with Cooperative Eavesdroppers Cooperative Eavesdroppers without Jamming (Cw/oJ) Cooperative Eavesdroppers with Jamming (CJ) Cooperative Eavesdroppers with Controlled Jamming (CCJ) Simulation Examples Appendix A: Channel Models Appendix B: Derivation of the Interference Coefficients for the DFT-SC-FDMA System over an AWGN Channel Appendix C: Derivation of the Interference Coefficients for the DCT -SC -FDMA System over an AWGN ChannelAppendix D: Derivation of the Optimum Solution of the JLRZF Scheme in Chapter 6 Appendix E: Derivations for Chapter 9 Appendix F: MATLAB® Simulation Codes for Chapters 2 through 6 Appendix G: MATLAB® Simulation Codes for Chapters 7 through 9

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.