382 Pages 138 B/W Illustrations
    by CRC Press

    382 Pages 138 B/W Illustrations
    by CRC Press

    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 1
    Single-Carrier Communication Systems 
         SC-FDE System 
         DFT-SC-FDMA System

    DFT-SC-FDMA System
    Introduction
    Subcarrier 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 Amplifier
    Peak 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 Model
    Complexity Evaluation
    Time-Domain Symbols of the DCT-SC-FDMA System 
         Time-Domain Symbols of the DCT-IFDMA System 
         Time-Domain Symbols of the DCT-LFDMA System
    Simulation Examples 
         Simulation Parameters 
         BER Performance 
         CCDF Performance 
         Impact 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 Transform
    Wavelet-based Transceiver Scheme 
         Mathematical Model 
         Two-Level Decomposition 
         Complexity Evaluation
    Simulation Examples
         Simulation 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 Model
         SFBC DCT-SC-FDMA System Model 
         SM DCT-SC-FDMA System Model
    MIMO 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 Ratio
    Joint Equalization and CFOs Compensation Schemes 
         JLRZF Equalization Scheme 
         JMMSE Equalization Scheme 
         Complexity Evaluation
    Simulation Examples 
         Simulation Parameters 
         Absence of CFOs 
              Results of the LRZF
    Equalization Scheme 
              Impact of Estimation Errors
         Presence of CFOs 
              Results of the JLRZF
    Equalization Scheme 
              Results of the JMMSE
    Equalization Scheme 
              Impact of Estimation Errors

    Fundamentals of Cooperative Communications
    Introduction
    Diversity Techniques and MIMO Systems 
         Diversity 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 Model
    Cooperative 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-FDMA
    Simulation Examples

    Relaying 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 Channel
    Appendix 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

    Biography

    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.