{"product_id":"mimo-ofdm-wireless-communications-with-matlab-hardback-9780470825617","title":"MIMO-OFDM Wireless Communications with MATLAB (Hardback) 9780470825617","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMIMO-OFDM Wireless Communications with MATLAB\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eYong Soo Cho (Author), Jaekwon Kim (Author), Won Y. Yang (Author), Chung G. Kang (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470825617, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 19 October 2010\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e544 pages\u003cbr\u003e25.2 x 17.3 x 2.8 cm, 0.943 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eMIMO-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 \u003ci\u003eMIMO-OFDM Wireless Communications with MATLAB\u003c\/i\u003e, 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eOne of the only books in the area dedicated to explaining simulation aspects\u003c\/li\u003e \u003cli\u003eCovers implementation to help cement the key concepts\u003c\/li\u003e \u003cli\u003eUses materials that have been classroom-tested in numerous universities\u003c\/li\u003e \u003cli\u003eProvides the analytic solutions and practical examples with downloadable MATLAB codes\u003c\/li\u003e \u003cli\u003eSimulation examples based on actual industry and research projects\u003c\/li\u003e \u003cli\u003ePresentation slides with key equations and figures for instructor use\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eMIMO-OFDM Wireless Communications with MATLAB\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eInstructor materials and MATLAB code examples available for download at \u003cb\u003ewww.wiley.com\/go\/chomimo\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eLimits of Liability and Disclaimer of Warranty of Software xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 The Wireless Channel: Propagation and Fading 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Large-Scale Fading 4\u003c\/p\u003e \u003cp\u003e1.1.1 General Path Loss Model 4\u003c\/p\u003e \u003cp\u003e1.1.2 Okumura\/Hata Model 8\u003c\/p\u003e \u003cp\u003e1.1.3 IEEE 802.16d Model 10\u003c\/p\u003e \u003cp\u003e1.2 Small-Scale Fading 15\u003c\/p\u003e \u003cp\u003e1.2.1 Parameters for Small-Scale Fading 15\u003c\/p\u003e \u003cp\u003e1.2.2 Time-Dispersive vs. Frequency-Dispersive Fading 16\u003c\/p\u003e \u003cp\u003e1.2.3 Statistical Characterization and Generation of Fading Channel 19\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 SISO Channel Models 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Indoor Channel Models 25\u003c\/p\u003e \u003cp\u003e2.1.1 General Indoor Channel Models 26\u003c\/p\u003e \u003cp\u003e2.1.2 IEEE 802.11 Channel Model 28\u003c\/p\u003e \u003cp\u003e2.1.3 Saleh-Valenzuela (S-V) Channel Model 30\u003c\/p\u003e \u003cp\u003e2.1.4 UWB Channel Model 35\u003c\/p\u003e \u003cp\u003e2.2 Outdoor Channel Models 40\u003c\/p\u003e \u003cp\u003e2.2.1 FWGN Model 41\u003c\/p\u003e \u003cp\u003e2.2.2 Jakes Model 50\u003c\/p\u003e \u003cp\u003e2.2.3 Ray-Based Channel Model 54\u003c\/p\u003e \u003cp\u003e2.2.4 Frequency-Selective Fading Channel Model 61\u003c\/p\u003e \u003cp\u003e2.2.5 SUI Channel Model 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 MIMO Channel Models 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Statistical MIMO Model 71\u003c\/p\u003e \u003cp\u003e3.1.1 Spatial Correlation 73\u003c\/p\u003e \u003cp\u003e3.1.2 PAS Model 76\u003c\/p\u003e \u003cp\u003e3.2 I-METRA MIMO Channel Model 84\u003c\/p\u003e \u003cp\u003e3.2.1 Statistical Model of Correlated MIMO Fading Channel 84\u003c\/p\u003e \u003cp\u003e3.2.2 Generation of Correlated MIMO Channel Coefficients 88\u003c\/p\u003e \u003cp\u003e3.2.3 I-METRA MIMO Channel Model 90\u003c\/p\u003e \u003cp\u003e3.2.4 3GPP MIMO Channel Model 94\u003c\/p\u003e \u003cp\u003e3.3 SCM MIMO Channel Model 97\u003c\/p\u003e \u003cp\u003e3.3.1 SCM Link-Level Channel Parameters 98\u003c\/p\u003e \u003cp\u003e3.3.2 SCM Link-Level Channel Modeling 102\u003c\/p\u003e \u003cp\u003e3.3.3 Spatial Correlation of Ray-Based Channel Model 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Introduction to OFDM 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Single-Carrier vs. Multi-Carrier Transmission 111\u003c\/p\u003e \u003cp\u003e4.1.1 Single-Carrier Transmission 111\u003c\/p\u003e \u003cp\u003e4.1.2 Multi-Carrier Transmission 115\u003c\/p\u003e \u003cp\u003e4.1.3 Single-Carrier vs. Multi-Carrier Transmission 120\u003c\/p\u003e \u003cp\u003e4.2 Basic Principle of OFDM 121\u003c\/p\u003e \u003cp\u003e4.2.1 OFDM Modulation and Demodulation 121\u003c\/p\u003e \u003cp\u003e4.2.2 OFDM Guard Interval 126\u003c\/p\u003e \u003cp\u003e4.2.3 OFDM Guard Band 132\u003c\/p\u003e \u003cp\u003e4.2.4 BER of OFDM Scheme 136\u003c\/p\u003e \u003cp\u003e4.2.5 Water-Filling Algorithm for Frequency-Domain Link Adaptation 139\u003c\/p\u003e \u003cp\u003e4.3 Coded OFDM 142\u003c\/p\u003e \u003cp\u003e4.4 OFDMA: Multiple Access Extensions of OFDM 143\u003c\/p\u003e \u003cp\u003e4.4.1 Resource Allocation – Subchannel Allocation Types 145\u003c\/p\u003e \u003cp\u003e4.4.2 Resource Allocation – Subchannelization 146\u003c\/p\u003e \u003cp\u003e4.5 Duplexing 150\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Synchronization for OFDM 153\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Effect of STO 153\u003c\/p\u003e \u003cp\u003e5.2 Effect of CFO 156\u003c\/p\u003e \u003cp\u003e5.2.1 Effect of Integer Carrier Frequency Offset (IFO) 159\u003c\/p\u003e \u003cp\u003e5.2.2 Effect of Fractional Carrier Frequency Offset (FFO) 160\u003c\/p\u003e \u003cp\u003e5.3 Estimation Techniques for STO 162\u003c\/p\u003e \u003cp\u003e5.3.1 Time-Domain Estimation Techniques for STO 162\u003c\/p\u003e \u003cp\u003e5.3.2 Frequency-Domain Estimation Techniques for STO 168\u003c\/p\u003e \u003cp\u003e5.4 Estimation Techniques for CFO 170\u003c\/p\u003e \u003cp\u003e5.4.1 Time-Domain Estimation Techniques for CFO 170\u003c\/p\u003e \u003cp\u003e5.4.2 Frequency-Domain Estimation Techniques for CFO 173\u003c\/p\u003e \u003cp\u003e5.5 Effect of Sampling Clock Offset 177\u003c\/p\u003e \u003cp\u003e5.5.1 Effect of Phase Offset in Sampling Clocks 177\u003c\/p\u003e \u003cp\u003e5.5.2 Effect of Frequency Offset in Sampling Clocks 178\u003c\/p\u003e \u003cp\u003e5.6 Compensation for Sampling Clock Offset 178\u003c\/p\u003e \u003cp\u003e5.7 Synchronization in Cellular Systems 180\u003c\/p\u003e \u003cp\u003e5.7.1 Downlink Synchronization 180\u003c\/p\u003e \u003cp\u003e5.7.2 Uplink Synchronization 183\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Channel Estimation 187\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Pilot Structure 187\u003c\/p\u003e \u003cp\u003e6.1.1 Block Type 187\u003c\/p\u003e \u003cp\u003e6.1.2 Comb Type 188\u003c\/p\u003e \u003cp\u003e6.1.3 Lattice Type 189\u003c\/p\u003e \u003cp\u003e6.2 Training Symbol-Based Channel Estimation 190\u003c\/p\u003e \u003cp\u003e6.2.1 LS Channel Estimation 190\u003c\/p\u003e \u003cp\u003e6.2.2 MMSE Channel Estimation 191\u003c\/p\u003e \u003cp\u003e6.3 DFT-Based Channel Estimation 195\u003c\/p\u003e \u003cp\u003e6.4 Decision-Directed Channel Estimation 199\u003c\/p\u003e \u003cp\u003e6.5 Advanced Channel Estimation Techniques 199\u003c\/p\u003e \u003cp\u003e6.5.1 Channel Estimation Using a Superimposed Signal 199\u003c\/p\u003e \u003cp\u003e6.5.2 Channel Estimation in Fast Time-Varying Channels 201\u003c\/p\u003e \u003cp\u003e6.5.3 EM Algorithm-Based Channel Estimation 204\u003c\/p\u003e \u003cp\u003e6.5.4 Blind Channel Estimation 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 PAPR Reduction 209\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction to PAPR 209\u003c\/p\u003e \u003cp\u003e7.1.1 Definition of PAPR 210\u003c\/p\u003e \u003cp\u003e7.1.2 Distribution of OFDM Signal 216\u003c\/p\u003e \u003cp\u003e7.1.3 PAPR and Oversampling 218\u003c\/p\u003e \u003cp\u003e7.1.4 Clipping and SQNR 222\u003c\/p\u003e \u003cp\u003e7.2 PAPR Reduction Techniques 224\u003c\/p\u003e \u003cp\u003e7.2.1 Clipping and Filtering 224\u003c\/p\u003e \u003cp\u003e7.2.2 PAPR Reduction Code 231\u003c\/p\u003e \u003cp\u003e7.2.3 Selective Mapping 233\u003c\/p\u003e \u003cp\u003e7.2.4 Partial Transmit Sequence 234\u003c\/p\u003e \u003cp\u003e7.2.5 Tone Reservation 238\u003c\/p\u003e \u003cp\u003e7.2.6 Tone Injection 239\u003c\/p\u003e \u003cp\u003e7.2.7 DFT Spreading 241\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Inter-Cell Interference Mitigation Techniques 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Inter-Cell Interference Coordination Technique 251\u003c\/p\u003e \u003cp\u003e8.1.1 Fractional Frequency Reuse 251\u003c\/p\u003e \u003cp\u003e8.1.2 Soft Frequency Reuse 254\u003c\/p\u003e \u003cp\u003e8.1.3 Flexible Fractional Frequency Reuse 255\u003c\/p\u003e \u003cp\u003e8.1.4 Dynamic Channel Allocation 256\u003c\/p\u003e \u003cp\u003e8.2 Inter-Cell Interference Randomization Technique 257\u003c\/p\u003e \u003cp\u003e8.2.1 Cell-Specific Scrambling 257\u003c\/p\u003e \u003cp\u003e8.2.2 Cell-Specific Interleaving 258\u003c\/p\u003e \u003cp\u003e8.2.3 Frequency-Hopping OFDMA 258\u003c\/p\u003e \u003cp\u003e8.2.4 Random Subcarrier Allocation 260\u003c\/p\u003e \u003cp\u003e8.3 Inter-Cell Interference Cancellation Technique 260\u003c\/p\u003e \u003cp\u003e8.3.1 Interference Rejection Combining Technique 260\u003c\/p\u003e \u003cp\u003e8.3.2 IDMA Multiuser Detection 262\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 MIMO: Channel Capacity 263\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Useful Matrix Theory 263\u003c\/p\u003e \u003cp\u003e9.2 Deterministic MIMO Channel Capacity 265\u003c\/p\u003e \u003cp\u003e9.2.1 Channel Capacity when CSI is Known to the Transmitter Side 266\u003c\/p\u003e \u003cp\u003e9.2.2 Channel Capacity when CSI is Not Available at the Transmitter Side 270\u003c\/p\u003e \u003cp\u003e9.2.3 Channel Capacity of SIMO and MISO Channels 271\u003c\/p\u003e \u003cp\u003e9.3 Channel Capacity of Random MIMO Channels 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Antenna Diversity and Space-Time Coding Techniques 281\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Antenna Diversity 281\u003c\/p\u003e \u003cp\u003e10.1.1 Receive Diversity 283\u003c\/p\u003e \u003cp\u003e10.1.2 Transmit Diversity 287\u003c\/p\u003e \u003cp\u003e10.2 Space-Time Coding (STC): Overview 287\u003c\/p\u003e \u003cp\u003e10.2.1 System Model 287\u003c\/p\u003e \u003cp\u003e10.2.2 Pairwise Error Probability 289\u003c\/p\u003e \u003cp\u003e10.2.3 Space-Time Code Design 292\u003c\/p\u003e \u003cp\u003e10.3 Space-Time Block Code (STBC) 294\u003c\/p\u003e \u003cp\u003e10.3.1 Alamouti Space-Time Code 294\u003c\/p\u003e \u003cp\u003e10.3.2 Generalization of Space-Time Block Coding 298\u003c\/p\u003e \u003cp\u003e10.3.3 Decoding for Space-Time Block Codes 302\u003c\/p\u003e \u003cp\u003e10.4 Space-Time Trellis Code 307\u003c\/p\u003e \u003cp\u003e10.4.1 Space-Time Trellis Encoder 307\u003c\/p\u003e \u003cp\u003e10.4.2 Space-Time Trellis Code: Illustrative Example 310\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Signal Detection for Spatially Multiplexed MIMO Systems 319\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Linear Signal Detection 319\u003c\/p\u003e \u003cp\u003e11.1.1 ZF Signal Detection 320\u003c\/p\u003e \u003cp\u003e11.1.2 MMSE Signal Detection 321\u003c\/p\u003e \u003cp\u003e11.2 OSIC Signal Detection 322\u003c\/p\u003e \u003cp\u003e11.3 ML Signal Detection 327\u003c\/p\u003e \u003cp\u003e11.4 Sphere Decoding Method 329\u003c\/p\u003e \u003cp\u003e11.5 QRM-MLD Method 339\u003c\/p\u003e \u003cp\u003e11.6 Lattice Reduction-Aided Detection 344\u003c\/p\u003e \u003cp\u003e11.6.1 Lenstra-Lenstra-Lovasz (LLL) Algorithm 345\u003c\/p\u003e \u003cp\u003e11.6.2 Application of Lattice Reduction 349\u003c\/p\u003e \u003cp\u003e11.7 Soft Decision for MIMO Systems 352\u003c\/p\u003e \u003cp\u003e11.7.1 Log-Likelihood-Ratio (LLR) for SISO Systems 353\u003c\/p\u003e \u003cp\u003e11.7.2 LLR for Linear Detector-Based MIMO System 358\u003c\/p\u003e \u003cp\u003e11.7.3 LLR for MIMO System with a Candidate Vector Set 361\u003c\/p\u003e \u003cp\u003e11.7.4 LLR for MIMO System Using a Limited Candidate Vector Set 364\u003c\/p\u003e \u003cp\u003eAppendix 11.A Derivation of Equation (11.23) 370\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Exploiting Channel State Information at the Transmitter Side 373\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Channel Estimation on the Transmitter Side 373\u003c\/p\u003e \u003cp\u003e12.1.1 Using Channel Reciprocity 374\u003c\/p\u003e \u003cp\u003e12.1.2 CSI Feedback 374\u003c\/p\u003e \u003cp\u003e12.2 Precoded OSTBC 375\u003c\/p\u003e \u003cp\u003e12.3 Precoded Spatial-Multiplexing System 381\u003c\/p\u003e \u003cp\u003e12.4 Antenna Selection Techniques 383\u003c\/p\u003e \u003cp\u003e12.4.1 Optimum Antenna Selection Technique 384\u003c\/p\u003e \u003cp\u003e12.4.2 Complexity-Reduced Antenna Selection 386\u003c\/p\u003e \u003cp\u003e12.4.3 Antenna Selection for OSTBC 390\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Multi-User MIMO 395\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 Mathematical Model for Multi-User MIMO System 396\u003c\/p\u003e \u003cp\u003e13.2 Channel Capacity of Multi-User MIMO System 397\u003c\/p\u003e \u003cp\u003e13.2.1 Capacity of MAC 398\u003c\/p\u003e \u003cp\u003e13.2.2 Capacity of BC 399\u003c\/p\u003e \u003cp\u003e13.3 Transmission Methods for Broadcast Channel 401\u003c\/p\u003e \u003cp\u003e13.3.1 Channel Inversion 401\u003c\/p\u003e \u003cp\u003e13.3.2 Block Diagonalization 404\u003c\/p\u003e \u003cp\u003e13.3.3 Dirty Paper Coding (DPC) 408\u003c\/p\u003e \u003cp\u003e13.3.4 Tomlinson-Harashima Precoding 412\u003c\/p\u003e \u003cp\u003eReferences 419\u003c\/p\u003e \u003cp\u003eIndex 431\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52511345082648,"sku":"9780470825617","price":95.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470825617.jpg?v=1786597106","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/mimo-ofdm-wireless-communications-with-matlab-hardback-9780470825617","provider":"Freshly Printed Books","version":"1.0","type":"link"}