MIMO-OFDM Wireless Communications with MATLAB (eBook, PDF)
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MIMO-OFDM Wireless Communications with MATLAB (eBook, PDF)
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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¯®, 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…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 456
- Erscheinungstermin: 20. August 2010
- Englisch
- ISBN-13: 9780470825624
- Artikelnr.: 37299458
- Verlag: John Wiley & Sons
- Seitenzahl: 456
- Erscheinungstermin: 20. August 2010
- Englisch
- ISBN-13: 9780470825624
- Artikelnr.: 37299458
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.
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.