MIMO-OFDM for LTE, WiFi and WiMAX

MIMO-OFDM for LTE, WiFi and WiMAXMIMO-OFDM for lte. Wi-Fi and WiMAXMMMO-OFDM for lte Wi-Fiand WimaXCoherent versus Non-coherent andCooperative Turbo-transceiversProf Lajos Hanzo, Dr. Yosef (Jos) Akhtman and Dr Li WangAll ofUniversity of Southampton, UKDr Ming JiangCurrently withNew postcom equipment co, Ltd◆EEWILEYA John Wiley and Sons, Ltd, PublicationThis edition first published 2011C 201 1 John Wiley sons ltdRegistered officeJohn wiley sons ltd, The Atrium, Southern Gate, Chichester, West Sussex, Po19 8SQUnited KingdomFor details of our global editorial offices, for customer services and for information about how to applyforpermissiontoreusethecopyrightmaterialinthisbookpleaseseeourwebsiteatwww.wiley.comThe right of the author to be identified as the author of this work has been asserted in accordance withthe Copyright, Designs and Patents Act 1988All rights reserved. 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If professional advice or other expert assistance isrequired, the services of a competent professional should be soughtLibrary of Congress Cataloging -in-Publication dataHanzo, Lajos, 1952MIMO-OFDM for LtE, WiFi, and WiMAX: coherent versus non-coherent and cooperativeturbo-transceivers /by L. Hanzo, J. Akhtman, L. Wang, M. Jiangp cm.Includes bibliographical references and indexISBN978-0-470-68669-0( cloth)supplies. 4.IEEE 802. 11(Standard).5.IEEE 802.16(Standard)6. Radio-Transmitter-receivers/ andrthogonal frequency division multiplexing. 2. MIMO systems. 3. Wireless LANs-EquipmentAkhtman, J. Jos)II. Wang, L. L1),1982-IlI. TitleTK5103484H362010621.38216dc222010015324A catalogue record for this book is available from the British LibraryPrint isbn:9780470686690(H/B)Set in 9/lpt Times by Sunrise Setting Ltd, Torquay, UKWe dedicate this monograph to the numerous contributors to this field, many of whom are listed in theAuthor indexThe MIMo capacity theoretically increases linearly with the number of transmit antennas, providedthat the number of receive antennas is equal to the number of transmit antennas. With the furtherproviso that the total transmit power is increased proportionately to the number of transmit antennas,a linear capacity increase is achieved on increasing the transmit power. However, under realisticconditions the theoretical MIMo-OFDM performance erodes, hence, to circumvent this degradationour monograph is dedicated to the design of practical coherent, non-coherent and cooperativeMIMO-OFDM turbo-transceiversContentsAbout the authorsXIXOther Wiley-IEEE Press Books on Related TopicsPrefaceXXIIAcknowledgmentsXXVList of Symbols1 Introduction to ofdm and MIMo-OFdm1 OFDM History1.1.1 MIMO-Assisted OFDM1.1.1.1 The benefits of mimos1.1.1.2 MIMO-OFDM1122561.1.3 SDMA-based MIMo-OFDM Systems1.2 OFDM Schematic1. 3 Channel Estimation for Multi-carrier Systems1. 4 Channel Estimation for MIMo-OFDM1.5 Signal Detection in MIMo-OFDM Systems161.6 Iterative Signal Processing for SDM-OFDM211.7 System Model221.7.1 Channel statistics221.7.2 Realistic Channel Properties251.7. 3 Baseline Scenario Characteristics261.7.4 MC Transceiver1. 8 SDM-OFDM System Model291. 8.1 MIMO Channel model291.8.2 Channel Capacity301. 8. 3 SDM-OFDM Transceiver StructureNovel Aspects and Outline of the book331.10 Chapter Summary362 OFDM Standards2.1 Wi-F372.1.1 Ieee 802.11 StandardsContents2.2 3GPP LTE382. 3 WiMAX EVolution2.3.1 Historic background412.3.1.1 IEEE 802.16 Standard Family412.3.1.2 Early 802.16 Standards412.3.1.2. 1 IEee 802. 16d-2004- Fixed WiMAX432.3.1.2.2 Ieee 802 1- Mobile wiMAX432.3. 1 2.3 Other 802.16 Standards452.3.1. 3 WiMAX Forum462.3. 1 4 WiMAX and wibro472.3.2 Technical Aspects of WiMAX472.3.2.1 WIMAX-I:802.16-2004and802.16e-2005482.3.2. 1.1 OFDMA System Configuration482.3.2.1.2 Frame Structure482.3.2.1.3 Subcarrier Mapping42.3.2. 1.4 Channel Coding502.3.2. 1.5 MIMO Support2.3.2. 1.6 Other Aspects522.3.2.2 WIMAX-Ⅰ:802.16m2.3.2.2.1 System Requirements522.3.2.2.2 System Description542.3.3 The Future of wimaX2.4 Chapter summarPartI Coherently Detected SDMA-oFDM Systems613 Channel Coding Assisted stBC-OFDM systems633.1 Introduction633.2 Space-Time Block Codes633.2.1 Alamouti's G2 STBC643.2.2 Encoding alsgorithm3.2.2.1 Transmission matrix3.2.2.2 Encoding algorithm of the stbc g23.2. 2 3 Other Stbcs663.2.3 Decoding algorithm673.2.3.1 Maximum Likelihood Decoding673.2.3.2 Maximum-A-Posteriori decoding3.2.4 System Overview703.2.5 Simulation Results703.2.5.1 Performance over Uncorrelated Rayleigh Fading Channels713.2.5.2 Performance over Correlated Rayleigh Fading Channel3.2.6 Conclusions3.3 Channel-Coded StBCs7:3.3.1 STBCs with ldPc Channel codes763.3.1.1 System Overview773.3.1.2 Simulation results783.3.1.2. 1 Performance over Uncorrelated Rayleigh FadingChannels793.3. 1.2.2 Performance over Correlated rayleigh Fading Channels. 823.1.3 Complexity Issues863.3. 1 4 Conclusions