Bringing Wireless Communications Classes into the Modern Day

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3 Bringing Wireless Communications Classes into the Modern Day Engaging students by using real world hardware. Michel Nassar Academic Field Sales Engineer National Instruments

4 Systems are Everywhere Tesla Motors Red Bull Stratos SpaceX Insulin Pump Robots Smartphones 5

5 How Does a Student Become a Communications Engineer? Researchers discover what nobody knows. Students discover what they don t know. The rate of discovery is important. 6

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7 The Theory is Complex and Convoluted The Reality is Intangible 8

8 A lack of affordable, accessible tools RF Instrumentation costs easily running into $100,000+ Domain expertise required in multiple low level languages 9

9 Software Defined Radio Architecture Multi-Processor Subsystem Real-time signal processor Host processor Physical Layer (PHY) Medium Access Control (MAC) ex FPGA, DSP Rx/Tx control ex. Host GPP, multi-core CPU PLL V C O RF Front End General Purpose RF Dual LOs Contiguous Frequency Range D/A 0 CPU GPP FPGA DSP D/A A/D 9 0 A/D Host Connection Determines Streaming Bandwidth Ex. Gigabit E-net, PCIe Baseband Converters PLL V C O 10

10 Today s Development Challenge Tools Targets Math (.m files) Simulation (Hybrid) User Interface (HTML) FPGA (VHDL, Verilog) Host Control (C, C++,.NET) DSP (Fixed Point C, Assembly) H/W Driver (C, Assembly) System Debug FPGAs Multicore Processors SDR development requires multiple, disparate software tools Software tools don t address system design Long learning curves Limited reuse Deep level of expertise required Increased costs Increased time-to-result 11

11 The Challenge with Existing Tools Disjointed path from concept to real-world signal One Standard Tool No Standard. No Tools No Standard. Many Tools Algorithm Development System Mapping System Implementation Floating Point Model CPU GPP FPGA DSP Design Specifications Research Team System Design Team Implementation Team 12

12 The Ideal Solution One continuous design flow that unifies the disparate design teams Single, Cohesive Toolchain Algorithm Development Iterative Modeling System Mapping Rapid hardware mapping exploration System Implementation Collaborative Design Team 13

13 LabVIEW Communications System Design Suite The platform for wireless communications discovery Single, Cohesive Toolchain Algorithm Development Iterative Modeling System Mapping Rapid hardware mapping exploration System Implementation Collaborative Design Team 14

14 The Graphical Overall System NI Solution Design Accelerating Discovery Turn Key teaching solutions using industry standard tools; Graphical system design software Tightly integrated hardware Ready to run courseware 15

15 NI Wireless Communications Course Map Course Name Signal and Systems Analogue and Digital Telecommunications Introduction to Communications Systems Digital Communications Course Objective To give students a foundation for further study into communications, control or systems engineering. Allow students to explore the fundamentals of radio hardware design. Introduce different modulation schemes, the underlying mathematics and system design. Challenge students to overcome real world effects on complex modulation schemes. Concepts Covered Linear + Non-Linear Systems Convolution Integration Fourier Series Discrete Time Filters Mixing Adding Side Bands Modulation AM + FM Image Rejection DSB ASK, PSK, FSK BPSK + QPSK QAM Pulse Shaping Energy Detection Equalization Frame Detection Frequency Correction OFDM, Channel Coding Hardware NI ELVIS II + Emona SIGEx NI ELVIS II + Emona DATEx Software LabVIEW LabVIEW NI USRP 2900, 2901 or 2920 LabVIEW Communications System Design Software NI USRP 2920 LabVIEW Communications System Design Software 16

16 The NI Approach to Learning to be a Communications Engineer Intro Under Graduate Student Design Research DO ENGINEERING FROM K TO 5G 17

17 Introduction to Communications Systems Full semester lab course by Prof Bruce Black, Rose-Hulman University. 12 Lab exercises with pre lab material for students to begin at home. Supplied with exercise code for students and full solutions and answer guide for instructors. AM FM FDM DSB-SC ASK FSK BPSK QPSK Image Rejection Eye Diagram Equalization 18

18 To better prepare them for their careers in industry The USRP gives an avenue for exploration. It is a good tool to bridge the gap between practical and theory." More than four out of five students, 82 percent, said that in the future they would like to make use of the USRP in the taught aspects of their course. 19

19 The NI Approach to Learning to be a Communications Engineer Intro Under Graduate Post Graduate Research & Industry DO ENGINEERING FROM K TO 5G 20

20 Our Platform-based Approach Opens New Opportunities Software Defined Radio for Wireless Communication Prototyping and Test The complexity associated with the development of 5G and its prototypes has made NI s software-defined radio platform an indispensable tool for both academic researchers and the telecom equipment vendors involved in 5G innovation. NI has now put itself in a unique position in the 5G community. Junko Yoshida, EETimes 5G is a disruptive change, and NI is exploiting its unique architectural position to leverage the change to gain market share. NI s strategy is essentially a platform innovation play. Larry Desjardin, EDN 21

21 5G Technologies Under Investigation Massive MIMO Wireless Networks 5G Waveforms mmwave Dramatically increased number of antenna elements on base station Consistent connectivity meeting the 1000x traffic demand for 5G Improve bandwidth utilization through signal structure improvements such as NOMA, GFDM, FBMC, and UFMC Utilize potential of extremely wide bandwidths at frequency ranges once thought impractical for commercial wireless 22

22 5G Massive MIMO at Lund University, Sweden Research Goal To build a cellular massive MIMO,100x10 antenna system to validate theoretical results with real-time processing Prof. Fredrik Tufvesson Prof. Ove Edfos 23

23 NI and Massive MIMO Silicon Valley Software Giant A Leading Chip Vendor UNAMED INDUSTRY 24

24 NYU Wireless: mmwave Research Goal Channel sounding at 28, 38, and 72 GHz Dense urban environments (New York City) Prove viability of mmwave for mobile wireless communications Advances in mmwave Consideration Results NYU published first results in June GPP calls for further investigation in 2015 FCC proposes new rules for mmwave in 2015 Prof. Ted Rappaport 25

25 Nokia Using a Platform-based Design Approach for 5G mmwave It took about 1 calendar year, less than half the time it would have taken with other tools Dr. Amitava Ghosh, Head of Broadband Wireless Innovation, Nokia Networks Nokia Video 26

26 NTT Docomo at MWC 2016 mmwave 1 GHz System Mobility and Beam Tracking 73 GHz 1 GHz BW, 2.3 Gbps peak rate 27

27 Do Engineering 28

28 Before you go, take the survey. 29

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30 Stay Connected During and After NIDays / community facebook.com/ NationalInstruments twitter.com/ niglobal youtube.com/ nationalinstruments 31