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Understanding LTE with MATLAB : From Mathematical Modeling to Simulation and Prototyping.

By: Material type: TextTextSeries: New York Academy of Sciences SeriesPublisher: Newark : John Wiley & Sons, Incorporated, 2014Copyright date: ©2013Edition: 1st edDescription: 1 online resource (510 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118443439
Subject(s): Genre/Form: Additional physical formats: Print version:: Understanding LTE with MATLABDDC classification:
  • 621.3845/6
LOC classification:
  • TK5103.48325 .Z37 2014
Online resources:
Contents:
Cover -- Title Page -- Copyright -- Contents -- Preface -- List of Abbreviations -- Chapter 1 Introduction -- 1.1 Quick Overview of Wireless Standards -- 1.2 Historical Profile of Data Rates -- 1.3 IMT-Advanced Requirements -- 1.4 3GPP and LTE Standardization -- 1.5 LTE Requirements -- 1.6 Theoretical Strategies -- 1.7 LTE-Enabling Technologies -- 1.7.1 OFDM -- 1.7.2 SC-FDM -- 1.7.3 MIMO -- 1.7.4 Turbo Channel Coding -- 1.7.5 Link Adaptation -- 1.8 LTE Physical Layer (PHY) Modeling -- 1.9 LTE (Releases 8 and 9) -- 1.10 LTE-Advanced (Release 10) -- 1.11 MATLAB® and Wireless System Design -- 1.12 Organization of This Book -- References -- Chapter 2 Overview of the LTE Physical Layer -- 2.1 Air Interface -- 2.2 Frequency Bands -- 2.3 Unicast and Multicast Services -- 2.4 Allocation of Bandwidth -- 2.5 Time Framing -- 2.6 Time-Frequency Representation -- 2.7 OFDM Multicarrier Transmission -- 2.7.1 Cyclic Prefix -- 2.7.2 Subcarrier Spacing -- 2.7.3 Resource Block Size -- 2.7.4 Frequency-Domain Scheduling -- 2.7.5 Typical Receiver Operations -- 2.8 Single-Carrier Frequency Division Multiplexing -- 2.9 Resource Grid Content -- 2.10 Physical Channels -- 2.10.1 Downlink Physical Channels -- 2.10.2 Function of Downlink Channels -- 2.10.3 Uplink Physical Channels -- 2.10.4 Function of Uplink Channels -- 2.11 Physical Signals -- 2.11.1 Reference Signals -- 2.11.2 Synchronization Signals -- 2.12 Downlink Frame Structures -- 2.13 Uplink Frame Structures -- 2.14 MIMO -- 2.14.1 Receive Diversity -- 2.14.2 Transmit Diversity -- 2.14.3 Spatial Multiplexing -- 2.14.4 Beam Forming -- 2.14.5 Cyclic Delay Diversity -- 2.15 MIMO Modes -- 2.16 PHY Processing -- 2.17 Downlink Processing -- 2.18 Uplink Processing -- 2.18.1 SC-FDM -- 2.18.2 MU-MIMO -- 2.19 Chapter Summary -- References -- Chapter 3 MATLAB® for Communications System Design -- 3.1 System Development Workflow.
3.2 Challenges and Capabilities -- 3.3 Focus -- 3.4 Approach -- 3.5 PHY Models in MATLAB -- 3.6 MATLAB -- 3.7 MATLAB Toolboxes -- 3.8 Simulink -- 3.9 Modeling and Simulation -- 3.9.1 DSP System Toolbox -- 3.9.2 Communications System Toolbox -- 3.9.3 Parallel Computing Toolbox -- 3.9.4 Fixed-Point Designer -- 3.10 Prototyping and Implementation -- 3.10.1 MATLAB Coder -- 3.10.2 Hardware Implementation -- 3.11 Introduction to System Objects -- 3.11.1 System Objects of the Communications System Toolbox -- 3.11.2 Test Benches with System Objects -- 3.11.3 Functions with System Objects -- 3.11.4 Bit Error Rate Simulation -- 3.12 MATLAB Channel Coding Examples -- 3.12.1 Error Correction and Detection -- 3.12.2 Convolutional Coding -- 3.12.3 Hard-Decision Viterbi Decoding -- 3.12.4 Soft-Decision Viterbi Decoding -- 3.12.5 Turbo Coding -- 3.13 Chapter Summary -- References -- Chapter 4 Modulation and Coding -- 4.1 Modulation Schemes of LTE -- 4.1.1 MATLAB Examples -- 4.1.2 BER Measurements -- 4.2 Bit-Level Scrambling -- 4.2.1 MATLAB Examples -- 4.2.2 BER Measurements -- 4.3 Channel Coding -- 4.4 Turbo Coding -- 4.4.1 Turbo Encoders -- 4.4.2 Turbo Decoders -- 4.4.3 MATLAB Examples -- 4.4.4 BER Measurements -- 4.5 Early-Termination Mechanism -- 4.5.1 MATLAB Examples -- 4.5.2 BER Measurements -- 4.5.3 Timing Measurements -- 4.6 Rate Matching -- 4.6.1 MATLAB Examples -- 4.6.2 BER Measurements -- 4.7 Codeblock Segmentation -- 4.7.1 MATLAB Examples -- 4.8 LTE Transport-Channel Processing -- 4.8.1 MATLAB Examples -- 4.8.2 BER Measurements -- 4.9 Chapter Summary -- References -- Chapter 5 OFDM -- 5.1 Channel Modeling -- 5.1.1 Large-Scale and Small-Scale Fading -- 5.1.2 Multipath Fading Effects -- 5.1.3 Doppler Effects -- 5.1.4 MATLAB® Examples -- 5.2 Scope -- 5.3 Workflow -- 5.4 OFDM and Multipath Fading -- 5.5 OFDM and Channel-Response Estimation.
5.6 Frequency-Domain Equalization -- 5.7 LTE Resource Grid -- 5.8 Configuring the Resource Grid -- 5.8.1 CSR Symbols -- 5.8.2 DCI Symbols -- 5.8.3 BCH Symbols -- 5.8.4 Synchronization Symbols -- 5.8.5 User-Data Symbols -- 5.9 Generating Reference Signals -- 5.10 Resource Element Mapping -- 5.11 OFDM Signal Generation -- 5.12 Channel Modeling -- 5.13 OFDM Receiver -- 5.14 Resource Element Demapping -- 5.15 Channel Estimation -- 5.16 Equalizer Gain Computation -- 5.17 Visualizing the Channel -- 5.18 Downlink Transmission Mode 1 -- 5.18.1 The SISO Case -- 5.18.2 The SIMO Case -- 5.19 Chapter Summary -- References -- Chapter 6 MIMO -- 6.1 Definition of MIMO -- 6.2 Motivation for MIMO -- 6.3 Types of MIMO -- 6.3.1 Receiver-Combining Methods -- 6.3.2 Transmit Diversity -- 6.3.3 Spatial Multiplexing -- 6.4 Scope of MIMO Coverage -- 6.5 MIMO Channels -- 6.5.1 MATLAB® Implementation -- 6.5.2 LTE-Specific Channel Models -- 6.5.3 MATLAB Implementation -- 6.5.4 Initializing MIMO Channels -- 6.5.5 Adding AWGN -- 6.6 Common MIMO Features -- 6.6.1 MIMO Resource Grid Structure -- 6.6.2 Resource-Element Mapping -- 6.6.3 Resource-Element Demapping -- 6.6.4 CSR-Based Channel Estimation -- 6.6.5 Channel-Estimation Function -- 6.6.6 Channel-Estimate Expansion -- 6.6.7 Ideal Channel Estimation -- 6.6.8 Channel-Response Extraction -- 6.7 Specific MIMO Features -- 6.7.1 Transmit Diversity -- 6.7.2 Transceiver Setup Functions -- 6.7.3 Downlink Transmission Mode 2 -- 6.7.4 Spatial Multiplexing -- 6.7.5 MIMO Operations in Spatial Multiplexing -- 6.7.6 Downlink Transmission Mode 4 -- 6.7.7 Open-Loop Spatial Multiplexing -- 6.7.8 Downlink Transmission Mode 3 -- 6.8 Chapter Summary -- References -- Chapter 7 Link Adaptation -- 7.1 System Model -- 7.2 Link Adaptation in LTE -- 7.2.1 Channel Quality Estimation -- 7.2.2 Precoder Matrix Estimation -- 7.2.3 Rank Estimation.
7.3 MATLAB® Examples -- 7.3.1 CQI Estimation -- 7.3.2 PMI Estimation -- 7.3.3 RI Estimation -- 7.4 Link Adaptations between Subframes -- 7.4.1 Structure of the Transceiver Model -- 7.4.2 Updating Transceiver Parameter Structures -- 7.5 Adaptive Modulation -- 7.5.1 No Adaptation -- 7.5.2 Changing the Modulation Scheme at Random -- 7.5.3 CQI-Based Adaptation -- 7.5.4 Verifying Transceiver Performance -- 7.5.5 Adaptation Results -- 7.6 Adaptive Modulation and Coding Rate -- 7.6.1 No Adaptation -- 7.6.2 Changing Modulation Scheme at Random -- 7.6.3 CQI-Based Adaptation -- 7.6.4 Verifying Transceiver Performance -- 7.6.5 Adaptation Results -- 7.7 Adaptive Precoding -- 7.7.1 PMI-Based Adaptation -- 7.7.2 Verifying Transceiver Performance -- 7.7.3 Adaptation Results -- 7.8 Adaptive MIMO -- 7.8.1 RI-Based Adaptation -- 7.8.2 Verifying Transceiver Performance -- 7.8.3 Adaptation Results -- 7.9 Downlink Control Information -- 7.9.1 MCS -- 7.9.2 Rate of Adaptation -- 7.9.3 DCI Processing -- 7.10 Chapter Summary -- References -- Chapter 8 System-Level Specification -- 8.1 System Model -- 8.1.1 Transmitter Model -- 8.1.2 MATLAB Model for a Transmitter Model -- 8.1.3 Channel Model -- 8.1.4 MATLAB Model for a Channel Model -- 8.1.5 Receiver Model -- 8.1.6 MATLAB Model for a Receiver Model -- 8.2 System Model in MATLAB -- 8.3 Quantitative Assessments -- 8.3.1 Effects of Transmission Modes -- 8.3.2 BER as a Function of SNR -- 8.3.3 Effects of Channel-Estimation Techniques -- 8.3.4 Effects of Channel Models -- 8.3.5 Effects of Channel Delay Spread and Cyclic Prefix -- 8.3.6 Effects of MIMO Receiver Algorithms -- 8.4 Throughput Analysis -- 8.5 System Model in Simulink -- 8.5.1 Building a Simulink Model -- 8.5.2 Integrating MATLAB Algorithms in Simulink -- 8.5.3 Parameter Initialization -- 8.5.4 Running the Simulation -- 8.5.5 Introducing a Parameter Dialog.
8.6 Qualitative Assessment -- 8.6.1 Voice-Signal Transmission -- 8.6.2 Subjective Voice-Quality Testing -- 8.7 Chapter Summary -- References -- Chapter 9 Simulation -- 9.1 Speeding Up Simulations in MATLAB -- 9.2 Workflow -- 9.3 Case Study: LTE PDCCH Processing -- 9.4 Baseline Algorithm -- 9.5 MATLAB Code Profiling -- 9.6 MATLAB Code Optimizations -- 9.6.1 Vectorization -- 9.6.2 Preallocation -- 9.6.3 System Objects -- 9.7 Using Acceleration Features -- 9.7.1 MATLAB-to-C Code Generation -- 9.7.2 Parallel Computing -- 9.8 Using a Simulink Model -- 9.8.1 Creating the Simulink Model -- 9.8.2 Verifying Numerical Equivalence -- 9.8.3 Simulink Baseline Model -- 9.8.4 Optimizing the Simulink Model -- 9.9 GPU Processing -- 9.9.1 Setting up GPU Functionality in MATLAB -- 9.9.2 GPU-Optimized System Objects -- 9.9.3 Using a Single GPU System Object -- 9.9.4 Combining Parallel Processing with GPUs -- 9.10 Case Study: Turbo Coders on GPU -- 9.10.1 Baseline Algorithm on a CPU -- 9.10.2 Turbo Decoder on a GPU -- 9.10.3 Multiple System Objects on GPU -- 9.10.4 Multiple Frames and Large Data Sizes -- 9.10.5 Using Single-Precision Data Type -- 9.11 Chapter Summary -- Chapter 10 Prototyping as C/C++ Code -- 10.1 Use Cases -- 10.2 Motivations -- 10.3 Requirements -- 10.4 MATLAB Code Considerations -- 10.5 How to Generate Code -- 10.5.1 Case Study: Frequency-Domain Equalization -- 10.5.2 Using a MATLAB Command -- 10.5.3 Using the MATLAB Coder Project -- 10.6 Structure of the Generated C Code -- 10.7 Supported MATLAB Subset -- 10.7.1 Readiness for Code Generation -- 10.7.2 Case Study: Interpolation of Pilot Signals -- 10.8 Complex Numbers and Native C Types -- 10.9 Support for System Toolboxes -- 10.9.1 Case Study: FFT and Inverse FFT -- 10.10 Support for Fixed-Point Data -- 10.10.1 Case Study: FFT Function -- 10.11 Support for Variable-Sized Data.
10.11.1 Case Study: Adaptive Modulation.
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Cover -- Title Page -- Copyright -- Contents -- Preface -- List of Abbreviations -- Chapter 1 Introduction -- 1.1 Quick Overview of Wireless Standards -- 1.2 Historical Profile of Data Rates -- 1.3 IMT-Advanced Requirements -- 1.4 3GPP and LTE Standardization -- 1.5 LTE Requirements -- 1.6 Theoretical Strategies -- 1.7 LTE-Enabling Technologies -- 1.7.1 OFDM -- 1.7.2 SC-FDM -- 1.7.3 MIMO -- 1.7.4 Turbo Channel Coding -- 1.7.5 Link Adaptation -- 1.8 LTE Physical Layer (PHY) Modeling -- 1.9 LTE (Releases 8 and 9) -- 1.10 LTE-Advanced (Release 10) -- 1.11 MATLAB® and Wireless System Design -- 1.12 Organization of This Book -- References -- Chapter 2 Overview of the LTE Physical Layer -- 2.1 Air Interface -- 2.2 Frequency Bands -- 2.3 Unicast and Multicast Services -- 2.4 Allocation of Bandwidth -- 2.5 Time Framing -- 2.6 Time-Frequency Representation -- 2.7 OFDM Multicarrier Transmission -- 2.7.1 Cyclic Prefix -- 2.7.2 Subcarrier Spacing -- 2.7.3 Resource Block Size -- 2.7.4 Frequency-Domain Scheduling -- 2.7.5 Typical Receiver Operations -- 2.8 Single-Carrier Frequency Division Multiplexing -- 2.9 Resource Grid Content -- 2.10 Physical Channels -- 2.10.1 Downlink Physical Channels -- 2.10.2 Function of Downlink Channels -- 2.10.3 Uplink Physical Channels -- 2.10.4 Function of Uplink Channels -- 2.11 Physical Signals -- 2.11.1 Reference Signals -- 2.11.2 Synchronization Signals -- 2.12 Downlink Frame Structures -- 2.13 Uplink Frame Structures -- 2.14 MIMO -- 2.14.1 Receive Diversity -- 2.14.2 Transmit Diversity -- 2.14.3 Spatial Multiplexing -- 2.14.4 Beam Forming -- 2.14.5 Cyclic Delay Diversity -- 2.15 MIMO Modes -- 2.16 PHY Processing -- 2.17 Downlink Processing -- 2.18 Uplink Processing -- 2.18.1 SC-FDM -- 2.18.2 MU-MIMO -- 2.19 Chapter Summary -- References -- Chapter 3 MATLAB® for Communications System Design -- 3.1 System Development Workflow.

3.2 Challenges and Capabilities -- 3.3 Focus -- 3.4 Approach -- 3.5 PHY Models in MATLAB -- 3.6 MATLAB -- 3.7 MATLAB Toolboxes -- 3.8 Simulink -- 3.9 Modeling and Simulation -- 3.9.1 DSP System Toolbox -- 3.9.2 Communications System Toolbox -- 3.9.3 Parallel Computing Toolbox -- 3.9.4 Fixed-Point Designer -- 3.10 Prototyping and Implementation -- 3.10.1 MATLAB Coder -- 3.10.2 Hardware Implementation -- 3.11 Introduction to System Objects -- 3.11.1 System Objects of the Communications System Toolbox -- 3.11.2 Test Benches with System Objects -- 3.11.3 Functions with System Objects -- 3.11.4 Bit Error Rate Simulation -- 3.12 MATLAB Channel Coding Examples -- 3.12.1 Error Correction and Detection -- 3.12.2 Convolutional Coding -- 3.12.3 Hard-Decision Viterbi Decoding -- 3.12.4 Soft-Decision Viterbi Decoding -- 3.12.5 Turbo Coding -- 3.13 Chapter Summary -- References -- Chapter 4 Modulation and Coding -- 4.1 Modulation Schemes of LTE -- 4.1.1 MATLAB Examples -- 4.1.2 BER Measurements -- 4.2 Bit-Level Scrambling -- 4.2.1 MATLAB Examples -- 4.2.2 BER Measurements -- 4.3 Channel Coding -- 4.4 Turbo Coding -- 4.4.1 Turbo Encoders -- 4.4.2 Turbo Decoders -- 4.4.3 MATLAB Examples -- 4.4.4 BER Measurements -- 4.5 Early-Termination Mechanism -- 4.5.1 MATLAB Examples -- 4.5.2 BER Measurements -- 4.5.3 Timing Measurements -- 4.6 Rate Matching -- 4.6.1 MATLAB Examples -- 4.6.2 BER Measurements -- 4.7 Codeblock Segmentation -- 4.7.1 MATLAB Examples -- 4.8 LTE Transport-Channel Processing -- 4.8.1 MATLAB Examples -- 4.8.2 BER Measurements -- 4.9 Chapter Summary -- References -- Chapter 5 OFDM -- 5.1 Channel Modeling -- 5.1.1 Large-Scale and Small-Scale Fading -- 5.1.2 Multipath Fading Effects -- 5.1.3 Doppler Effects -- 5.1.4 MATLAB® Examples -- 5.2 Scope -- 5.3 Workflow -- 5.4 OFDM and Multipath Fading -- 5.5 OFDM and Channel-Response Estimation.

5.6 Frequency-Domain Equalization -- 5.7 LTE Resource Grid -- 5.8 Configuring the Resource Grid -- 5.8.1 CSR Symbols -- 5.8.2 DCI Symbols -- 5.8.3 BCH Symbols -- 5.8.4 Synchronization Symbols -- 5.8.5 User-Data Symbols -- 5.9 Generating Reference Signals -- 5.10 Resource Element Mapping -- 5.11 OFDM Signal Generation -- 5.12 Channel Modeling -- 5.13 OFDM Receiver -- 5.14 Resource Element Demapping -- 5.15 Channel Estimation -- 5.16 Equalizer Gain Computation -- 5.17 Visualizing the Channel -- 5.18 Downlink Transmission Mode 1 -- 5.18.1 The SISO Case -- 5.18.2 The SIMO Case -- 5.19 Chapter Summary -- References -- Chapter 6 MIMO -- 6.1 Definition of MIMO -- 6.2 Motivation for MIMO -- 6.3 Types of MIMO -- 6.3.1 Receiver-Combining Methods -- 6.3.2 Transmit Diversity -- 6.3.3 Spatial Multiplexing -- 6.4 Scope of MIMO Coverage -- 6.5 MIMO Channels -- 6.5.1 MATLAB® Implementation -- 6.5.2 LTE-Specific Channel Models -- 6.5.3 MATLAB Implementation -- 6.5.4 Initializing MIMO Channels -- 6.5.5 Adding AWGN -- 6.6 Common MIMO Features -- 6.6.1 MIMO Resource Grid Structure -- 6.6.2 Resource-Element Mapping -- 6.6.3 Resource-Element Demapping -- 6.6.4 CSR-Based Channel Estimation -- 6.6.5 Channel-Estimation Function -- 6.6.6 Channel-Estimate Expansion -- 6.6.7 Ideal Channel Estimation -- 6.6.8 Channel-Response Extraction -- 6.7 Specific MIMO Features -- 6.7.1 Transmit Diversity -- 6.7.2 Transceiver Setup Functions -- 6.7.3 Downlink Transmission Mode 2 -- 6.7.4 Spatial Multiplexing -- 6.7.5 MIMO Operations in Spatial Multiplexing -- 6.7.6 Downlink Transmission Mode 4 -- 6.7.7 Open-Loop Spatial Multiplexing -- 6.7.8 Downlink Transmission Mode 3 -- 6.8 Chapter Summary -- References -- Chapter 7 Link Adaptation -- 7.1 System Model -- 7.2 Link Adaptation in LTE -- 7.2.1 Channel Quality Estimation -- 7.2.2 Precoder Matrix Estimation -- 7.2.3 Rank Estimation.

7.3 MATLAB® Examples -- 7.3.1 CQI Estimation -- 7.3.2 PMI Estimation -- 7.3.3 RI Estimation -- 7.4 Link Adaptations between Subframes -- 7.4.1 Structure of the Transceiver Model -- 7.4.2 Updating Transceiver Parameter Structures -- 7.5 Adaptive Modulation -- 7.5.1 No Adaptation -- 7.5.2 Changing the Modulation Scheme at Random -- 7.5.3 CQI-Based Adaptation -- 7.5.4 Verifying Transceiver Performance -- 7.5.5 Adaptation Results -- 7.6 Adaptive Modulation and Coding Rate -- 7.6.1 No Adaptation -- 7.6.2 Changing Modulation Scheme at Random -- 7.6.3 CQI-Based Adaptation -- 7.6.4 Verifying Transceiver Performance -- 7.6.5 Adaptation Results -- 7.7 Adaptive Precoding -- 7.7.1 PMI-Based Adaptation -- 7.7.2 Verifying Transceiver Performance -- 7.7.3 Adaptation Results -- 7.8 Adaptive MIMO -- 7.8.1 RI-Based Adaptation -- 7.8.2 Verifying Transceiver Performance -- 7.8.3 Adaptation Results -- 7.9 Downlink Control Information -- 7.9.1 MCS -- 7.9.2 Rate of Adaptation -- 7.9.3 DCI Processing -- 7.10 Chapter Summary -- References -- Chapter 8 System-Level Specification -- 8.1 System Model -- 8.1.1 Transmitter Model -- 8.1.2 MATLAB Model for a Transmitter Model -- 8.1.3 Channel Model -- 8.1.4 MATLAB Model for a Channel Model -- 8.1.5 Receiver Model -- 8.1.6 MATLAB Model for a Receiver Model -- 8.2 System Model in MATLAB -- 8.3 Quantitative Assessments -- 8.3.1 Effects of Transmission Modes -- 8.3.2 BER as a Function of SNR -- 8.3.3 Effects of Channel-Estimation Techniques -- 8.3.4 Effects of Channel Models -- 8.3.5 Effects of Channel Delay Spread and Cyclic Prefix -- 8.3.6 Effects of MIMO Receiver Algorithms -- 8.4 Throughput Analysis -- 8.5 System Model in Simulink -- 8.5.1 Building a Simulink Model -- 8.5.2 Integrating MATLAB Algorithms in Simulink -- 8.5.3 Parameter Initialization -- 8.5.4 Running the Simulation -- 8.5.5 Introducing a Parameter Dialog.

8.6 Qualitative Assessment -- 8.6.1 Voice-Signal Transmission -- 8.6.2 Subjective Voice-Quality Testing -- 8.7 Chapter Summary -- References -- Chapter 9 Simulation -- 9.1 Speeding Up Simulations in MATLAB -- 9.2 Workflow -- 9.3 Case Study: LTE PDCCH Processing -- 9.4 Baseline Algorithm -- 9.5 MATLAB Code Profiling -- 9.6 MATLAB Code Optimizations -- 9.6.1 Vectorization -- 9.6.2 Preallocation -- 9.6.3 System Objects -- 9.7 Using Acceleration Features -- 9.7.1 MATLAB-to-C Code Generation -- 9.7.2 Parallel Computing -- 9.8 Using a Simulink Model -- 9.8.1 Creating the Simulink Model -- 9.8.2 Verifying Numerical Equivalence -- 9.8.3 Simulink Baseline Model -- 9.8.4 Optimizing the Simulink Model -- 9.9 GPU Processing -- 9.9.1 Setting up GPU Functionality in MATLAB -- 9.9.2 GPU-Optimized System Objects -- 9.9.3 Using a Single GPU System Object -- 9.9.4 Combining Parallel Processing with GPUs -- 9.10 Case Study: Turbo Coders on GPU -- 9.10.1 Baseline Algorithm on a CPU -- 9.10.2 Turbo Decoder on a GPU -- 9.10.3 Multiple System Objects on GPU -- 9.10.4 Multiple Frames and Large Data Sizes -- 9.10.5 Using Single-Precision Data Type -- 9.11 Chapter Summary -- Chapter 10 Prototyping as C/C++ Code -- 10.1 Use Cases -- 10.2 Motivations -- 10.3 Requirements -- 10.4 MATLAB Code Considerations -- 10.5 How to Generate Code -- 10.5.1 Case Study: Frequency-Domain Equalization -- 10.5.2 Using a MATLAB Command -- 10.5.3 Using the MATLAB Coder Project -- 10.6 Structure of the Generated C Code -- 10.7 Supported MATLAB Subset -- 10.7.1 Readiness for Code Generation -- 10.7.2 Case Study: Interpolation of Pilot Signals -- 10.8 Complex Numbers and Native C Types -- 10.9 Support for System Toolboxes -- 10.9.1 Case Study: FFT and Inverse FFT -- 10.10 Support for Fixed-Point Data -- 10.10.1 Case Study: FFT Function -- 10.11 Support for Variable-Sized Data.

10.11.1 Case Study: Adaptive Modulation.

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