MIMO OFDM Wireless Communications with MATLAB 1st Edition by Yong Soo Cho, Jaekwon Kim, Won Y Yang, Chung G Kang ISBN 0470825618 9780470825617 by Yong Soo Cho, Jaekwon Kim, Won Young Yang, Chung G. Kang 0470825618 instant download after payment.

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ISBN 10: 0470825618 
ISBN 13: 9780470825617
Author: Yong Soo Cho, Jaekwon Kim, Won Y Yang, Chung G Kang

MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB programs to simulate the various techniques on MIMO-OFDM systems.

• One of the only books in the area dedicated to explaining simulation aspects
• Covers implementation to help cement the key concepts
• Uses materials that have been classroom-tested in numerous universities
• Provides the analytic solutions and practical examples with downloadable MATLAB codes
• Simulation examples based on actual industry and research projects
• Presentation slides with key equations and figures for instructor use

MIMO-OFDM Wireless Communications with MATLAB is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques.

MIMO OFDM Wireless Communications with MATLAB 1st Table of contents:

Part I: Fundamentals of Wireless Communications and Signal Processing

• Chapter 1: Introduction to Wireless Communications
  • Evolution of Wireless Systems (1G to 5G/Beyond)
  • Challenges in Wireless Communication (Fading, ISI, Noise)
  • Overview of Digital Communication Systems
  • Motivation for MIMO and OFDM
• Chapter 2: Review of Digital Signal Processing for Communications
  • Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT)
  • Filtering and Convolution
  • Sampling Theory
  • Stochastic Processes and Random Variables
• Chapter 3: Wireless Channel Models
  • Large-Scale Fading (Path Loss, Shadowing)
  • Small-Scale Fading (Rayleigh, Rician, Nakagami-m)
  • Multipath Channels and Time-Varying Channels
  • Statistical Channel Models for MIMO Systems

Part II: Orthogonal Frequency Division Multiplexing (OFDM)

• Chapter 4: Principles of OFDM
  • Introduction to OFDM and its Benefits
  • Working Principle: Parallel Data Transmission and Orthogonality
  • Advantages: Mitigating ISI, Spectral Efficiency
  • Disadvantages: PAPR, Sensitivity to Frequency Offset
• Chapter 5: OFDM System Design and Implementation
  • OFDM Transmitter and Receiver Architecture
  • IFFT/FFT in OFDM Systems
  • Cyclic Prefix (CP) and its Role
  • Guard Bands and Null Subcarriers
  • MATLAB Example: Basic OFDM System Simulation
• Chapter 6: Channel Estimation and Equalization in OFDM
  • The Need for Channel Estimation
  • Pilot-Aided Channel Estimation (Block Type, Comb Type)
  • LS and MMSE Estimators
  • One-Tap Equalization in Frequency Domain
  • MATLAB Example: OFDM Channel Estimation and Equalization
• Chapter 7: Synchronization in OFDM Systems
  • Timing Synchronization (Coarse and Fine)
  • Frequency Synchronization (Coarse and Fine)
  • Impact of Synchronization Errors
  • MATLAB Example: OFDM Synchronization Algorithms
• Chapter 8: Peak-to-Average Power Ratio (PAPR) Reduction Techniques
  • Understanding PAPR in OFDM
  • PAPR Reduction Methods (Clipping, Selective Mapping (SLM), Partial Transmit Sequence (PTS))
  • MATLAB Example: PAPR Reduction Techniques

Part III: Multiple-Input Multiple-Output (MIMO) Systems

• Chapter 9: Fundamentals of MIMO
  • Introduction to MIMO Concepts
  • Spatial Multiplexing for Capacity Enhancement
  • Spatial Diversity for Reliability Improvement
  • Antenna Configurations and Array Gains
• Chapter 10: MIMO Channel Models
  • Linear MIMO Channel Model
  • Capacity of MIMO Channels (Known and Unknown CSI)
  • Practical MIMO Channel Measurement and Modeling
• Chapter 11: MIMO Detection Techniques
  • Linear Receivers: ZF, MMSE
  • Non-Linear Receivers: Sphere Decoding, ML Detection
  • Successive Interference Cancellation (SIC) and V-BLAST
  • MATLAB Example: MIMO Detection Algorithms
• Chapter 12: Space-Time Coding for MIMO Diversity
  • Space-Time Block Codes (STBC): Alamouti Code
  • Space-Time Trellis Codes (STTC)
  • Performance Analysis of Space-Time Codes
  • MATLAB Example: STBC Implementation and Performance

Part IV: MIMO-OFDM Systems and Advanced Topics

• Chapter 13: Integrated MIMO-OFDM Systems
  • Combining MIMO and OFDM: System Architecture
  • MIMO-OFDM Channel Modeling
  • Pilot Design for MIMO-OFDM
  • Transmitter and Receiver Processing for MIMO-OFDM
  • MATLAB Example: Full MIMO-OFDM System Simulation
• Chapter 14: Multi-User MIMO-OFDM
  • Downlink and Uplink Multi-User Scenarios
  • Dirty Paper Coding (DPC)
  • Precoding and Beamforming Techniques
  • Zero-Forcing (ZF) and MMSE Precoding
  • MATLAB Example: Multi-User MIMO-OFDM Precoding
• Chapter 15: Cooperative Communication and Relaying in OFDM Systems
  • Cooperative Diversity Concepts
  • Relaying Protocols (Amplify-and-Forward, Decode-and-Forward)
  • MIMO-OFDM Relaying Architectures
• Chapter 16: Emerging MIMO-OFDM Technologies and Standards
  • Massive MIMO and Hybrid Beamforming
  • Millimeter Wave (mmWave) Communications
  • Index Modulation and Cognitive Radio in OFDM Systems
  • LTE and 5G NR Implementations of MIMO-OFDM

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Tags: Yong Soo Cho, Jaekwon Kim, Won Y Yang, Chung G Kang, MIMO, OFDM