Yong Soo Cho, Jaekwon Kim, Won Y Yang, Chung G Kang

Mimo-Ofdm Wireless Communications with MATLAB

• Gebundenes Buch

Produktbeschreibung

MIMO-OFDM Wireless Communications with MATLAB is comprised of three main sections. The first introduces wireless channel modeling with MATLAB, covering the characteristics of wireless channels, SISO and MIMO channel modeling. The second section discusses OFDM with MATLAB, explaining the basics before going over synchronization, channel estimation, peak-to-average power ratio, and then major techniques using MATLAB: PAPR Reduction, intercell interference coordination, randomization, and cancellation. The last section covers the application of MIMO to MATLAB, including MIMO channel capacity, space diversity and space-time codes, signal detection for spatially-multiplexed MIMO systems, space-time block codes for diversity-multiplexing trade-off, and multiuser MIMO.

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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(r), the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB(r) 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(r) 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(r) 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. Instructor materials and MATLAB(r) code examples available for download at www.wiley.com/go/chomimo

Produktdetails

• Verlag: John Wiley & Sons / Wiley
• Seitenzahl: 544
• Erscheinungstermin: 16. November 2010
• Englisch
• Abmessung: 260mm x 183mm x 29mm
• Gewicht: 1048g
• ISBN-13: 9780470825617
• ISBN-10: 0470825618
• Artikelnr.: 30881056

Autorenporträt

Yong Soo Cho is a Professor of Electronic Engineering at Chung-Ang University in Seoul, Korea. He has taught OFDM for 10 years and MIMO for 5. His research interests are in the areas of digital communication, digital signal processing, and FPGA Implementation. Cho has held positions at LG Electronics, the ETRI Mobile Communication Group, the WiBro Project Group, and was Chairman of the Wireless Access Working Group in Korea. He holds a BS from Chung-Ang University, an MS from Yonsei University, and a PhD from the University of Texas at Austin, all in electronic engineering. Jaekwon Kim is an Assistant Professor of Computer and Telecommunications Engineering at Yonsei University. Prior to that he worked at Samsung Advanced Institute of Technology with the 4G System Team. He holds a BS and MS from Chung-Ang University and a PhD from the University of Texas at Austin, all in electronic engineering. Won Y. Yang is a Professor of Electronic Engineering at Chung-Ang University. He has written two books on MATLAB in English, and two in Korean. Yang holds a BS and MS in Electrical Engineering from Seoul National University, an MS in Applied Math and a PhD in Electrical Engineering from the University of Southern California. Chung Gu Kang is a Professor of Radio Communication and Engineering at Korea University. Previous work experience inlcudes time in the US spent at the Aerospace Corporation and Rockwell International, where he worked on telecommunications systems development. He was also a Visiting Associate Professor at the UC San Diego. His research interests are focesed on the cross layer design issues for MIMO/multiple access schemes for mobile broadband wireless access systems and MAC/routing protocols for mobile ad hoc networks. Kang holds a BS from UC San Diego and an MS and PhD in Electrical Engineering and Computer Engineering from UC Irvine.

Inhaltsangabe

Preface. Limits of Liability and Disclaimer of Warranty of Software. 1 The
Wireless Channel: Propagation and Fading. 1.1 Large-Scale Fading. 1.1.1
General Path Loss Model. 1.1.2 Okumura/Hata Model. 1.1.3 IEEE 802.16d
Model. 1.2 Small-Scale Fading. 1.2.1 Parameters for Small-Scale Fading.
1.2.2 Time-Dispersive vs. Frequency-Dispersive Fading. 1.2.3 Statistical
Characterization and Generation of Fading Channel. 2 SISO Channel Models.
2.1 Indoor Channel Models. 2.1.1 General Indoor Channel Models. 2.1.2 IEEE
802.11 Channel Model. 2.1.3 Saleh-Valenzuela (S-V) Channel Model. 2.1.4 UWB
Channel Model. 2.2 Outdoor Channel Models. 2.2.1 FWGN Model. 2.2.2 Jakes
Model. 2.2.3 Ray-Based Channel Model. 2.2.4 Frequency-Selective Fading
Channel Model. 2.2.5 SUI Channel Model. 3 MIMO Channel Models. 3.1
Statistical MIMO Model. 3.1.1 Spatial Correlation. 3.1.2 PAS Model. 3.2
I-METRA MIMO Channel Model. 3.2.1 Statistical Model of Correlated MIMO
Fading Channel. 3.2.2 Generation of Correlated MIMO Channel Coefficients.
3.2.3 I-METRA MIMO Channel Model. 3.2.4 3GPP MIMO Channel Model. 3.3 SCM
MIMO Channel Model. 3.3.1 SCM Link-Level Channel Parameters. 3.3.2 SCM
Link-Level Channel Modeling. 3.3.3 Spatial Correlation of Ray-Based Channel
Model. 4 Introduction to OFDM. 4.1 Single-Carrier vs. Multi-Carrier
Transmission. 4.1.1 Single-Carrier Transmission. 4.1.2 Multi-Carrier
Transmission. 4.1.3 Single-Carrier vs. Multi-Carrier Transmission. 4.2
Basic Principle of OFDM. 4.2.1 OFDM Modulation and Demodulation. 4.2.2 OFDM
Guard Interval. 4.2.3 OFDM Guard Band. 4.2.4 BER of OFDM Scheme. 4.2.5
Water-Filling Algorithm for Frequency-Domain Link Adaptation. 4.3 Coded
OFDM. 4.4 OFDMA: Multiple Access Extensions of OFDM. 4.4.1 Resource
Allocation - Subchannel Allocation Types. 4.4.2 Resource Allocation -
Subchannelization. 4.5 Duplexing. 5 Synchronization for OFDM. 5.1 Effect of
STO. 5.2 Effect of CFO. 5.2.1 Effect of Integer Carrier Frequency Offset
(IFO). 5.2.2 Effect of Fractional Carrier Frequency Offset (FFO). 5.3
Estimation Techniques for STO. 5.3.1 Time-Domain Estimation Techniques for
STO. 5.3.2 Frequency-Domain Estimation Techniques for STO. 5.4 Estimation
Techniques for CFO. 5.4.1 Time-Domain Estimation Techniques for CFO. 5.4.2
Frequency-Domain Estimation Techniques for CFO. 5.5 Effect of Sampling
Clock Offset. 5.5.1 Effect of Phase Offset in Sampling Clocks. 5.5.2 Effect
of Frequency Offset in Sampling Clocks. 5.6 Compensation for Sampling Clock
Offset. 5.7 Synchronization in Cellular Systems. 5.7.1 Downlink
Synchronization. 5.7.2 Uplink Synchronization. 6 Channel Estimation. 6.1
Pilot Structure. 6.1.1 Block Type. 6.1.2 Comb Type. 6.1.3 Lattice Type. 6.2
Training Symbol-Based Channel Estimation. 6.2.1 LS Channel Estimation.
6.2.2 MMSE Channel Estimation. 6.3 DFT-Based Channel Estimation. 6.4
Decision-Directed Channel Estimation. 6.5 Advanced Channel Estimation
Techniques. 6.5.1 Channel Estimation Using a Superimposed Signal. 6.5.2
Channel Estimation in Fast Time-Varying Channels. 6.5.3 EM Algorithm-Based
Channel Estimation. 6.5.4 Blind Channel Estimation. 7 PAPR Reduction. 7.1
Introduction to PAPR. 7.1.1 Definition of PAPR. 7.1.2 Distribution of OFDM
Signal. 7.1.3 PAPR and Oversampling. 7.1.4 Clipping and SQNR. 7.2 PAPR
Reduction Techniques. 7.2.1 Clipping and Filtering. 7.2.2 PAPR Reduction
Code. 7.2.3 Selective Mapping. 7.2.4 Partial Transmit Sequence. 7.2.5 Tone
Reservation. 7.2.6 Tone Injection. 7.2.7 DFT Spreading. 8 Inter-Cell
Interference Mitigation Techniques. 8.1 Inter-Cell Interference
Coordination Technique. 8.1.1 Fractional Frequency Reuse. 8.1.2 Soft
Frequency Reuse. 8.1.3 Flexible Fractional Frequency Reuse. 8.1.4 Dynamic
Channel Allocation. 8.2 Inter-Cell Interference Randomization Technique.
8.2.1 Cell-Specific Scrambling. 8.2.2 Cell-Specific Interleaving. 8.2.3
Frequency-Hopping OFDMA. 8.2.4 Random Subcarrier Allocation. 8.3 Inter-Cell
Interference Cancellation Technique. 8.3.1 Interference Rejection Combining
Technique. 8.3.2 IDMA Multiuser Detection. 9 MIMO: Channel Capacity. 9.1
Useful Matrix Theory. 9.2 Deterministic MIMO Channel Capacity. 9.2.1
Channel Capacity when CSI is Known to the Transmitter Side. 9.2.2 Channel
Capacity when CSI is Not Available at the Transmitter Side. 9.2.3 Channel
Capacity of SIMO and MISO Channels. 9.3 Channel Capacity of Random MIMO
Channels. 10 Antenna Diversity and Space-Time Coding Techniques. 10.1
Antenna Diversity. 10.1.1 Receive Diversity. 10.1.2 Transmit Diversity.
10.2 Space-Time Coding (STC): Overview. 10.2.1 System Model. 10.2.2
Pairwise Error Probability. 10.2.3 Space-Time Code Design. 10.3 Space-Time
Block Code (STBC). 10.3.1 Alamouti Space-Time Code. 10.3.2 Generalization
of Space-Time Block Coding. 10.3.3 Decoding for Space-Time Block Codes.
10.3.4 Space-Time Trellis Code. 11 Signal Detection for Spatially
Multiplexed MIMO Systems. 11.1 Linear Signal Detection. 11.1.1 ZF Signal
Detection. 11.1.2 MMSE Signal Detection. 11.2 OSIC Signal Detection. 11.3
ML Signal Detection. 11.4 Sphere Decoding Method. 11.5 QRM-MLD Method. 11.6
Lattice Reduction-Aided Detection. 11.6.1 Lenstra-Lenstra-Lovasz (LLL)
Algorithm. 11.6.2 Application of Lattice Reduction. 11.7 Soft Decision for
MIMO Systems. 11.7.1 Log-Likelihood-Ratio (LLR) for SISO Systems. 11.7.2
LLR for Linear Detector-Based MIMO System. 11.7.3 LLR for MIMO System with
a Candidate Vector Set. 11.7.4 LLR for MIMO System Using a Limited
Candidate Vector Set. Appendix 11.A Derivation of Equation (11.23). 12
Exploiting Channel State Information at the Transmitter Side. 12.1 Channel
Estimation on the Transmitter Side. 12.1.1 Using Channel Reciprocity.
12.1.2 CSI Feedback. 12.2 Precoded OSTBC. 12.3 Precoded
Spatial-Multiplexing System. 12.4 Antenna Selection Techniques. 12.4.1
Optimum Antenna Selection Technique. 12.4.2 Complexity-Reduced Antenna
Selection. 12.4.3 Antenna Selection for OSTBC. 13 Multi-User MIMO. 13.1
Mathematical Model for Multi-User MIMO System. 13.2 Channel Capacity of
Multi-User MIMO System. 13.2.1 Capacity of MAC. 13.2.2 Capacity of BC. 13.3
Transmission Methods for Broadcast Channel. 13.3.1 Channel Inversion.
13.3.2 Block Diagonalization. 13.3.3 Dirty Paper Coding (DPC). 13.3.4
Tomlinson-Harashima Precoding. References. Index.