Digital & Wireless Communications DA Analytical r ina Due to their ability to support reliable high quality of service as well as spectral isújo and power efficiency, multicarrier modulation systems have found increasing use in modern communications services. However, one of the main drawbacks of these Evaluation of A systems is their vulnerability to nonlinear distortion effects. Analytical Evaluation n a of Nonlinear Distortion Effects on Multicarrier Signals details a unified approach l y to well-known analytical results on memoryless nonlinearities that takes advantage t i Nonlinear Distortion of the Gaussian behavior of multicarrier signals. c a l Sharing new insights into the behavior of nonlinearly distorted multicarrier signals, E v the book begins with a review of the fundamental principles of multicarrier a l Effects on transmission and multicarrier-based systems. Next, it covers well-known results u a on nonlinear distortion of Gaussian signals and examines the accuracy of the use t i of Gaussian approximation for evaluating nonlinear effects. It also considers the o n performance of various multicarrier-based systems in the presence of different o Multicarrier Signals types of nonlinear devices. f N o • Describes general clipping and filtering techniques to reduce the envelope n fluctuations of multicarrier signals li n e • Analyzes quantization effects caused by the numerical accuracy required a in DFT computations r D • Discusses quantization requirements of analog-to-digital converters i s t • Redefines loading techniques to take into account nonlinear distortion o r issues on adaptive multicarrier systems t io Teresa Araújo • Examines the impact of nonlinear signal processing techniques for n reducing the envelope fluctuations of OFDMA signals E f f • Presents performance results for all the discussed applications e Rui Dinis c t The book covers the essential principles of multicarrier modulations, including s o OFDM modulations and other multicarrier schemes. It describes multicarrier n modulation systems that will be used in next-generation communications M systems and also provides new insight into the behavior of nonlinearly distorted u multicarrier signals. l t i c Illustrating the application of the nonlinear distortion analysis techniques presented, a r the book provides you with a wide range of analytical tools to assess the effects of r i e nonlinearities on the performance of multicarrier-based schemes. r S i g n a l K22031 s 6000 Broken Sound Parkway, NW Suite 300, Boca Raton, FL 33487 ISBN: 978-1-4822-1594-6 711 Third Avenue 90000 New York, NY 10017 an informa business 2 Park Square, Milton Park www.crcpress.com Abingdon, Oxon OX14 4RN, UK 9 781482 215946 w w w. c r c p r e s s . c o m K22031 cvr mech.indd 1 3/26/15 9:15 AM Analytical Evaluation of Nonlinear Distortion Effects on Multicarrier Signals OTHER COMMUNICATIONS BOOKS FROM AUERBACH Analytical Evaluation of Nonlinear Distortion Network Innovation through OpenFlow and SDN: Effects on Multicarrier Signals Principles and Design Theresa Araújo Edited by Fei Hu ISBN 978-1-4822-1594-6 ISBN 978-1-4665-7209-6 Architecting Software Intensive Systems: Neural Networks for Applied Sciences and A Practitioners Guide Engineering: From Fundamentals to Complex Anthony J. 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Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com Contents List of Abbreviations . . . . . . . . . . . . . . . . . . . . . ix List of Symbols . . . . . . . . . . . . . . . . . . . . . . . . . xiii 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Book Structure . . . . . . . . . . . . . . . . . . . . . . . 4 2 Multicarrier Transmission . . . . . . . . . . . . . . . . 7 2.1 Orthogonal Multicarrier Signals . . . . . . . . . . . . . 8 2.2 Orthogonal Frequency Division Multiplexing . . . . . . 11 2.2.1 Transmitter Structure . . . . . . . . . . . . . . . 12 2.2.2 Receiver Structure . . . . . . . . . . . . . . . . . 18 2.3 Other Multicarrier Schemes . . . . . . . . . . . . . . . . 21 2.3.1 Discrete Multitone . . . . . . . . . . . . . . . . . 21 2.3.1.1 Bandpass Approach . . . . . . . . . . . 21 2.3.1.2 Baseband Approach . . . . . . . . . . . 23 2.3.2 Orthogonal Frequency Division Multiple Access 23 2.3.2.1 Downlink Transmission . . . . . . . . . 24 2.3.2.2 Uplink Transmission . . . . . . . . . . . 26 2.3.3 Multicarrier Code Division Multiple Access . . . 26 2.3.3.1 Downlink Transmission . . . . . . . . . 28 2.3.3.2 Uplink Transmission . . . . . . . . . . . 29 2.3.4 Software Radio . . . . . . . . . . . . . . . . . . . 31 2.4 Characterization of the Transmitted Signals . . . . . . 33 2.4.1 Spectral Characterization . . . . . . . . . . . . . 33 2.4.1.1 Other Multicarrier Schemes . . . . . . . 35 2.4.2 Time Domain Characterization . . . . . . . . . . 36 2.4.2.1 Other Multicarrier Schemes . . . . . . . 37 v vi (cid:4) Contents 2.4.3 Envelope Fluctuations . . . . . . . . . . . . . . 40 3 Nonlinear Distortion of Gaussian Signals . . . . . . . 43 3.1 Memoryless Nonlinearities Characterization . . . . . . 44 3.1.1 Memoryless Nonlinear Characteristics . . . . . . 45 3.1.2 Cartesian Memoryless Nonlinear Characteristics 47 3.1.3 Polar Memoryless Nonlinear Characteristics . . . 49 3.2 Memoryless Nonlinear Distortion of Gaussian Signals . 54 3.3 Cartesian Memoryless Nonlinearities with Gaussian In- puts . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 3.4 Polar Memoryless Nonlinearities with Gaussian Inputs 61 4 Accuracy of the Gaussian Approximation for the Eval- uation of Nonlinear Effects . . . . . . . . . . . . . . . . 65 4.1 Exact Characterization of Nonlinearly Distorted Multi- carrier Signals . . . . . . . . . . . . . . . . . . . . . . . 66 4.1.1 Nonlinear Characteristic of Order 3 . . . . . . . 67 4.1.2 Nonlinear Characteristic of Order 5 . . . . . . . 72 4.1.3 Generalization . . . . . . . . . . . . . . . . . . . 74 4.2 Analytical Characterization of Nonlinearly Distorted Multicarrier Signals Using the Gaussian Approximation 75 4.3 Accuracy of the Gaussian Approximation . . . . . . . 78 4.4 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . 82 5 Nonlinear Effects in Specific Multicarrier Systems . . 87 5.1 Clipping and Filtering Techniques . . . . . . . . . . . . 89 5.1.1 Transmitter Structure . . . . . . . . . . . . . . . 89 5.1.2 Signal Characterization along the Signal Process- ing Chain . . . . . . . . . . . . . . . . . . . . . . 92 5.1.3 Numerical Results . . . . . . . . . . . . . . . . . 97 5.1.4 Analytical BER Performance . . . . . . . . . . . 100 5.1.5 Performance Results . . . . . . . . . . . . . . . . 103 5.1.6 Complementary Remarks . . . . . . . . . . . . . 108 5.2 Impact of Quantization Effects on Multicarrier Signals 110 5.2.1 Quantization Effects on Multicarrier Modulated Signals. . . . . . . . . . . . . . . . . . . . . . . . 111 5.2.2 Statistical Characterization of the Transmitted and Received Signals . . . . . . . . . . . . . . . . 113 5.2.3 Performance Results . . . . . . . . . . . . . . . . 116 5.3 Impact of Quantization Effects on Software Radio Signals 119 5.3.1 ADC Quantization in Software Radio Architectures . . . . . . . . . . . . . . . . . . . . 120 Contents (cid:4) vii 5.3.2 Statistical Characterization of the Quantized Sig- nals . . . . . . . . . . . . . . . . . . . . . . . . . 122 5.3.3 Performance Results . . . . . . . . . . . . . . . . 123 5.4 Loading Techniques with Nonlinear Distortion Effects . 126 5.4.1 Nonlinear Signal Processing for Multicarrier Sig- nals . . . . . . . . . . . . . . . . . . . . . . . . . 126 5.4.2 Loading Techniques . . . . . . . . . . . . . . . . 130 5.4.2.1 Single Carrier Analysis . . . . . . . . . 130 5.4.2.2 Multicarrier Analysis . . . . . . . . . . 131 5.4.2.3 Waterfilling . . . . . . . . . . . . . . . . 133 5.4.2.4 Leke–Cioffi Algorithm . . . . . . . . . . 133 5.4.3 Loading with Nonlinear Distortion Effects . . . . 134 5.4.4 Performance Results . . . . . . . . . . . . . . . . 135 5.5 Impact of Nonlinear Signal Processing on OFDMA Sig- nals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139 5.5.1 Nonlinear Effects on OFDMA Signals . . . . . . 139 5.5.2 Statistical Characterization of the Transmitted Signals. . . . . . . . . . . . . . . . . . . . . . . . 140 5.5.3 Signal-to-Interference Ratio Levels on the Received Signals . . . . . . . . . . . . . . . . . . 143 5.5.3.1 Multiple Users . . . . . . . . . . . . . . 143 5.5.3.2 Single User . . . . . . . . . . . . . . . . 144 5.5.4 Performance Results . . . . . . . . . . . . . . . . 144 5.5.4.1 Downlink Transmission . . . . . . . . . 145 5.5.4.2 Uplink Transmission . . . . . . . . . . . 147 5.6 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . 149 A Output Autocorrelation for Polar Memoryless Nonlin- earities with Gaussian Inputs . . . . . . . . . . . . . . . 155 B Analytical Results for Specific Nonlinearities . . . . . 161 B.1 Cartesian Memoryless Nonlinearities . . . . . . . . . . . 161 B.2 Polar Memoryless Nonlinearities . . . . . . . . . . . . . 166 C Exact Characterization of a Polar Memoryless Nonlin- earity with Characteristic g(R)=R5 . . . . . . . . . . . 173 D Approximated Symbol Error Rate for Cross QAM Con- stellations . . . . . . . . . . . . . . . . . . . . . . . . . . 179 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 List of Abbreviations ADC Analog-to-Digital Converter ADSL Asymmetric Digital Subscriber Line AWGN Additive White Gaussian Noise BA Block Assignment BER Bit Error Rate BPSK Binary Phase-Shift Keying BS Base Station CAS Carrier Assignment Scheme CIR Channel Impulse Response CP Cyclic Prefix DAB Digital Audio Broadcasting DFT Discrete Fourier Transform DMT Discrete Multitone DSL Digital Subscriber Line DVB Digital Video Broadcasting EGC Equal Gain Combining ESNR Equivalent Signal-to-Noise plus Self-Interference Ratio ix