1st Edition

SC-FDMA for Mobile Communications





ISBN 9781138199941
Published October 12, 2017 by CRC Press
382 Pages 138 B/W Illustrations

USD $56.95

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Book Description

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.

Table of Contents

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

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Author(s)

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.