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MIMO-OFDM wireless communications with MATLAB [electronic resource] / Yong Soo Cho ... [et al.].

Contributor(s): Material type: TextTextPublication details: Singapore ; Hoboken, NJ : IEEE Press : J. Wiley & Sons (Asia), c2010.Description: 1 online resource (xiv, 439 p.) : illISBN:
  • 0470825634 (electronic bk.)
  • 9780470825631 (electronic bk.)
  • 9780470825624
  • 0470825626
Subject(s): Genre/Form: Additional physical formats: Print version:: MIMO-OFDM wireless communications with MATLAB.DDC classification:
  • 621.384
Online resources:
Contents:
Machine generated contents note: 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.
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Includes bibliographical references and index.

Machine generated contents note: 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.

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