SC-FDMA for Mobile Communications: 1st Edition (Paperback) book cover

SC-FDMA for Mobile Communications

1st Edition

By Fathi E. Abd El-Samie, Faisal S. Al-kamali, Azzam Y. Al-nahari, Moawad I. Dessouky

CRC Press

382 pages | 138 B/W Illus.

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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

About the Authors

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 Processingjournal 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 Processingjournal in 2008. His research interests include spectral estimation techniques, image enhancement, image restoration, super-resolution reconstruction of images, satellite communications, and spread spectrum techniques.

Subject Categories

BISAC Subject Codes/Headings:
COM032000
COMPUTERS / Information Technology
COM043000
COMPUTERS / Networking / General
TEC041000
TECHNOLOGY & ENGINEERING / Telecommunications
TEC061000
TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications