{"product_id":"mimoofdm-wireless-communications-with-matlab-9780470825617","title":"MIMOOFDM Wireless Communications with MATLAB","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eMIMO-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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface.  \u003cp\u003eLimits of Liability and Disclaimer of Warranty of Software.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 The Wireless Channel: Propagation and Fading.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Large-Scale Fading.\u003c\/p\u003e \u003cp\u003e1.1.1 General Path Loss Model.\u003c\/p\u003e \u003cp\u003e1.1.2 Okumura\/Hata Model.\u003c\/p\u003e \u003cp\u003e1.1.3 IEEE 802.16d Model.\u003c\/p\u003e \u003cp\u003e1.2 Small-Scale Fading.\u003c\/p\u003e \u003cp\u003e1.2.1 Parameters for Small-Scale Fading.\u003c\/p\u003e \u003cp\u003e1.2.2 Time-Dispersive vs. Frequency-Dispersive Fading.\u003c\/p\u003e \u003cp\u003e1.2.3 Statistical Characterization and Generation of Fading Channel.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 SISO Channel Models.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Indoor Channel Models.\u003c\/p\u003e \u003cp\u003e2.1.1 General Indoor Channel Models.\u003c\/p\u003e \u003cp\u003e2.1.2 IEEE 802.11 Channel Model.\u003c\/p\u003e \u003cp\u003e2.1.3 Saleh-Valenzuela (S-V) Channel Model.\u003c\/p\u003e \u003cp\u003e2.1.4 UWB Channel Model.\u003c\/p\u003e \u003cp\u003e2.2 Outdoor Channel Models.\u003c\/p\u003e \u003cp\u003e2.2.1 FWGN Model.\u003c\/p\u003e \u003cp\u003e2.2.2 Jakes Model.\u003c\/p\u003e \u003cp\u003e2.2.3 Ray-Based Channel Model.\u003c\/p\u003e \u003cp\u003e2.2.4 Frequency-Selective Fading Channel Model.\u003c\/p\u003e \u003cp\u003e2.2.5 SUI Channel Model.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 MIMO Channel Models.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Statistical MIMO Model.\u003c\/p\u003e \u003cp\u003e3.1.1 Spatial Correlation.\u003c\/p\u003e \u003cp\u003e3.1.2 PAS Model.\u003c\/p\u003e \u003cp\u003e3.2 I-METRA MIMO Channel Model.\u003c\/p\u003e \u003cp\u003e3.2.1 Statistical Model of Correlated MIMO Fading Channel.\u003c\/p\u003e \u003cp\u003e3.2.2 Generation of Correlated MIMO Channel Coefficients.\u003c\/p\u003e \u003cp\u003e3.2.3 I-METRA MIMO Channel Model.\u003c\/p\u003e \u003cp\u003e3.2.4 3GPP MIMO Channel Model.\u003c\/p\u003e \u003cp\u003e3.3 SCM MIMO Channel Model.\u003c\/p\u003e \u003cp\u003e3.3.1 SCM Link-Level Channel Parameters.\u003c\/p\u003e \u003cp\u003e3.3.2 SCM Link-Level Channel Modeling.\u003c\/p\u003e \u003cp\u003e3.3.3 Spatial Correlation of Ray-Based Channel Model.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Introduction to OFDM.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Single-Carrier vs. Multi-Carrier Transmission.\u003c\/p\u003e \u003cp\u003e4.1.1 Single-Carrier Transmission.\u003c\/p\u003e \u003cp\u003e4.1.2 Multi-Carrier Transmission.\u003c\/p\u003e \u003cp\u003e4.1.3 Single-Carrier vs. Multi-Carrier Transmission.\u003c\/p\u003e \u003cp\u003e4.2 Basic Principle of OFDM.\u003c\/p\u003e \u003cp\u003e4.2.1 OFDM Modulation and Demodulation.\u003c\/p\u003e \u003cp\u003e4.2.2 OFDM Guard Interval.\u003c\/p\u003e \u003cp\u003e4.2.3 OFDM Guard Band.\u003c\/p\u003e \u003cp\u003e4.2.4 BER of OFDM Scheme.\u003c\/p\u003e \u003cp\u003e4.2.5 Water-Filling Algorithm for Frequency-Domain Link Adaptation.\u003c\/p\u003e \u003cp\u003e4.3 Coded OFDM.\u003c\/p\u003e \u003cp\u003e4.4 OFDMA: Multiple Access Extensions of OFDM.\u003c\/p\u003e \u003cp\u003e4.4.1 Resource Allocation – Subchannel Allocation Types.\u003c\/p\u003e \u003cp\u003e4.4.2 Resource Allocation – Subchannelization.\u003c\/p\u003e \u003cp\u003e4.5 Duplexing.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Synchronization for OFDM.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Effect of STO.\u003c\/p\u003e \u003cp\u003e5.2 Effect of CFO.\u003c\/p\u003e \u003cp\u003e5.2.1 Effect of Integer Carrier Frequency Offset (IFO).\u003c\/p\u003e \u003cp\u003e5.2.2 Effect of Fractional Carrier Frequency Offset (FFO).\u003c\/p\u003e \u003cp\u003e5.3 Estimation Techniques for STO.\u003c\/p\u003e \u003cp\u003e5.3.1 Time-Domain Estimation Techniques for STO.\u003c\/p\u003e \u003cp\u003e5.3.2 Frequency-Domain Estimation Techniques for STO.\u003c\/p\u003e \u003cp\u003e5.4 Estimation Techniques for CFO.\u003c\/p\u003e \u003cp\u003e5.4.1 Time-Domain Estimation Techniques for CFO.\u003c\/p\u003e \u003cp\u003e5.4.2 Frequency-Domain Estimation Techniques for CFO.\u003c\/p\u003e \u003cp\u003e5.5 Effect of Sampling Clock Offset.\u003c\/p\u003e \u003cp\u003e5.5.1 Effect of Phase Offset in Sampling Clocks.\u003c\/p\u003e \u003cp\u003e5.5.2 Effect of Frequency Offset in Sampling Clocks.\u003c\/p\u003e \u003cp\u003e5.6 Compensation for Sampling Clock Offset.\u003c\/p\u003e \u003cp\u003e5.7 Synchronization in Cellular Systems.\u003c\/p\u003e \u003cp\u003e5.7.1 Downlink Synchronization.\u003c\/p\u003e \u003cp\u003e5.7.2 Uplink Synchronization.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Channel Estimation.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Pilot Structure.\u003c\/p\u003e \u003cp\u003e6.1.1 Block Type.\u003c\/p\u003e \u003cp\u003e6.1.2 Comb Type.\u003c\/p\u003e \u003cp\u003e6.1.3 Lattice Type.\u003c\/p\u003e \u003cp\u003e6.2 Training Symbol-Based Channel Estimation.\u003c\/p\u003e \u003cp\u003e6.2.1 LS Channel Estimation.\u003c\/p\u003e \u003cp\u003e6.2.2 MMSE Channel Estimation.\u003c\/p\u003e \u003cp\u003e6.3 DFT-Based Channel Estimation.\u003c\/p\u003e \u003cp\u003e6.4 Decision-Directed Channel Estimation.\u003c\/p\u003e \u003cp\u003e6.5 Advanced Channel Estimation Techniques.\u003c\/p\u003e \u003cp\u003e6.5.1 Channel Estimation Using a Superimposed Signal.\u003c\/p\u003e \u003cp\u003e6.5.2 Channel Estimation in Fast Time-Varying Channels.\u003c\/p\u003e \u003cp\u003e6.5.3 EM Algorithm-Based Channel Estimation.\u003c\/p\u003e \u003cp\u003e6.5.4 Blind Channel Estimation.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 PAPR Reduction.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction to PAPR.\u003c\/p\u003e \u003cp\u003e7.1.1 Definition of PAPR.\u003c\/p\u003e \u003cp\u003e7.1.2 Distribution of OFDM Signal.\u003c\/p\u003e \u003cp\u003e7.1.3 PAPR and Oversampling.\u003c\/p\u003e \u003cp\u003e7.1.4 Clipping and SQNR.\u003c\/p\u003e \u003cp\u003e7.2 PAPR Reduction Techniques.\u003c\/p\u003e \u003cp\u003e7.2.1 Clipping and Filtering.\u003c\/p\u003e \u003cp\u003e7.2.2 PAPR Reduction Code.\u003c\/p\u003e \u003cp\u003e7.2.3 Selective Mapping.\u003c\/p\u003e \u003cp\u003e7.2.4 Partial Transmit Sequence.\u003c\/p\u003e \u003cp\u003e7.2.5 Tone Reservation.\u003c\/p\u003e \u003cp\u003e7.2.6 Tone Injection.\u003c\/p\u003e \u003cp\u003e7.2.7 DFT Spreading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Inter-Cell Interference Mitigation Techniques.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Inter-Cell Interference Coordination Technique.\u003c\/p\u003e \u003cp\u003e8.1.1 Fractional Frequency Reuse.\u003c\/p\u003e \u003cp\u003e8.1.2 Soft Frequency Reuse.\u003c\/p\u003e \u003cp\u003e8.1.3 Flexible Fractional Frequency Reuse.\u003c\/p\u003e \u003cp\u003e8.1.4 Dynamic Channel Allocation.\u003c\/p\u003e \u003cp\u003e8.2 Inter-Cell Interference Randomization Technique.\u003c\/p\u003e \u003cp\u003e8.2.1 Cell-Specific Scrambling.\u003c\/p\u003e \u003cp\u003e8.2.2 Cell-Specific Interleaving.\u003c\/p\u003e \u003cp\u003e8.2.3 Frequency-Hopping OFDMA.\u003c\/p\u003e \u003cp\u003e8.2.4 Random Subcarrier Allocation.\u003c\/p\u003e \u003cp\u003e8.3 Inter-Cell Interference Cancellation Technique.\u003c\/p\u003e \u003cp\u003e8.3.1 Interference Rejection Combining Technique.\u003c\/p\u003e \u003cp\u003e8.3.2 IDMA Multiuser Detection.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 MIMO: Channel Capacity.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Useful Matrix Theory.\u003c\/p\u003e \u003cp\u003e9.2 Deterministic MIMO Channel Capacity.\u003c\/p\u003e \u003cp\u003e9.2.1 Channel Capacity when CSI is Known to the Transmitter Side.\u003c\/p\u003e \u003cp\u003e9.2.2 Channel Capacity when CSI is Not Available at the Transmitter Side.\u003c\/p\u003e \u003cp\u003e9.2.3 Channel Capacity of SIMO and MISO Channels.\u003c\/p\u003e \u003cp\u003e9.3 Channel Capacity of Random MIMO Channels.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Antenna Diversity and Space-Time Coding Techniques.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Antenna Diversity.\u003c\/p\u003e \u003cp\u003e10.1.1 Receive Diversity.\u003c\/p\u003e \u003cp\u003e10.1.2 Transmit Diversity.\u003c\/p\u003e \u003cp\u003e10.2 Space-Time Coding (STC): Overview.\u003c\/p\u003e \u003cp\u003e10.2.1 System Model.\u003c\/p\u003e \u003cp\u003e10.2.2 Pairwise Error Probability.\u003c\/p\u003e \u003cp\u003e10.2.3 Space-Time Code Design.\u003c\/p\u003e \u003cp\u003e10.3 Space-Time Block Code (STBC).\u003c\/p\u003e \u003cp\u003e10.3.1 Alamouti Space-Time Code.\u003c\/p\u003e \u003cp\u003e10.3.2 Generalization of Space-Time Block Coding.\u003c\/p\u003e \u003cp\u003e10.3.3 Decoding for Space-Time Block Codes.\u003c\/p\u003e \u003cp\u003e10.3.4 Space-Time Trellis Code.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Signal Detection for Spatially Multiplexed MIMO Systems.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Linear Signal Detection.\u003c\/p\u003e \u003cp\u003e11.1.1 ZF Signal Detection.\u003c\/p\u003e \u003cp\u003e11.1.2 MMSE Signal Detection.\u003c\/p\u003e \u003cp\u003e11.2 OSIC Signal Detection.\u003c\/p\u003e \u003cp\u003e11.3 ML Signal Detection.\u003c\/p\u003e \u003cp\u003e11.4 Sphere Decoding Method.\u003c\/p\u003e \u003cp\u003e11.5 QRM-MLD Method.\u003c\/p\u003e \u003cp\u003e11.6 Lattice Reduction-Aided Detection.\u003c\/p\u003e \u003cp\u003e11.6.1 Lenstra-Lenstra-Lovasz (LLL) Algorithm.\u003c\/p\u003e \u003cp\u003e11.6.2 Application of Lattice Reduction.\u003c\/p\u003e \u003cp\u003e11.7 Soft Decision for MIMO Systems.\u003c\/p\u003e \u003cp\u003e11.7.1 Log-Likelihood-Ratio (LLR) for SISO Systems.\u003c\/p\u003e \u003cp\u003e11.7.2 LLR for Linear Detector-Based MIMO System.\u003c\/p\u003e \u003cp\u003e11.7.3 LLR for MIMO System with a Candidate Vector Set.\u003c\/p\u003e \u003cp\u003e11.7.4 LLR for MIMO System Using a Limited Candidate Vector Set.\u003c\/p\u003e \u003cp\u003eAppendix 11.A Derivation of Equation (11.23).\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Exploiting Channel State Information at the Transmitter Side.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Channel Estimation on the Transmitter Side.\u003c\/p\u003e \u003cp\u003e12.1.1 Using Channel Reciprocity.\u003c\/p\u003e \u003cp\u003e12.1.2 CSI Feedback.\u003c\/p\u003e \u003cp\u003e12.2 Precoded OSTBC.\u003c\/p\u003e \u003cp\u003e12.3 Precoded Spatial-Multiplexing System.\u003c\/p\u003e \u003cp\u003e12.4 Antenna Selection Techniques.\u003c\/p\u003e \u003cp\u003e12.4.1 Optimum Antenna Selection Technique.\u003c\/p\u003e \u003cp\u003e12.4.2 Complexity-Reduced Antenna Selection.\u003c\/p\u003e \u003cp\u003e12.4.3 Antenna Selection for OSTBC.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Multi-User MIMO.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Mathematical Model for Multi-User MIMO System.\u003c\/p\u003e \u003cp\u003e13.2 Channel Capacity of Multi-User MIMO System.\u003c\/p\u003e \u003cp\u003e13.2.1 Capacity of MAC.\u003c\/p\u003e \u003cp\u003e13.2.2 Capacity of BC.\u003c\/p\u003e \u003cp\u003e13.3 Transmission Methods for Broadcast Channel.\u003c\/p\u003e \u003cp\u003e13.3.1 Channel Inversion.\u003c\/p\u003e \u003cp\u003e13.3.2 Block Diagonalization.\u003c\/p\u003e \u003cp\u003e13.3.3 Dirty Paper Coding (DPC).\u003c\/p\u003e \u003cp\u003e13.3.4 Tomlinson-Harashima Precoding.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default 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