Anticipate new trends in radio communication systems for IoT applications

Transcription

1 Anticipate new trends in radio communication systems for IoT applications Thierry Collette Head of Architecture, IC Design and Embedded Software Division CEA-Leti

2 Why new trends in radio communications? Smart Dust New Slope New Applications Improvements Autonomy Robustness Costs Breakthrough 50 Billion Connections in 2020 Ericsson (2010 annual report) Anticipate new trends in radio communication systems for IoT applications Thierry Collette 2

3 TOTAL RX CURRENT (ma) Radio Power Consumption Evolution Historical Products development mm IEEE Receiver Products ma nm Integration benefits from technology scaling How to improve? Anticipate new trends in radio communication systems for IoT applications Thierry Collette 3

4 Leti s strategy is two folds Disruptive Innovation Breakthrough in radio characteristics New opportunities but also new challenges Think Globally Energy/Service instead of ma COMPUTING RF POWER SENSORS Anticipate new trends in radio communication systems for IoT applications Thierry Collette 4

5 Leti RF innovations for Industrial partners. Breakthrough in radio characteristics Breakthrough on Wide Bandwidth Breakthrough on Ultra Narrow Band Breakthrough on battery-less memory tags Anticipate new trends in radio communication systems for IoT applications Thierry Collette 5

6 Breakthrough on Wide Bandwidth Bandwidth increased by more than two decades Bluetooth UWB BW (MHz) Robust Indoor Localisation TDOA Low Power transmitter Obtained Results JSSCC 13 World Record in Ranging Precision and UWB range 3.75 cm ranging precision 3.8 km range Anticipate new trends in radio communication systems for IoT applications Thierry Collette 6

7 BeSpoon : IR-UWB radio for localization Track items or individuals within a few centimeters over long ranges SpoonPhone RF IC solution for consumer market Frequency Band 3.2 à 8.8 GHz : 8 channels BW : 500MHz to 1GHz, Data rate up to 5 Mbps Range : up to 2000m, Ranging accuracy <4cm Low Power Anticipate new trends in radio communication systems for IoT applications Thierry Collette 7

8 Breakthrough on Ultra Narrow Band Bandwidth decreased by more than one decade GSM BTLE SigFox BW (khz) ,1< Sensitivity High number of nodes 4Million per BS First Silicon Results Tx+Rx -140dBm sensitivity (UNB) Digital Radio Architecture High SINR Higher range than GSM Smaller Power than Bluetooth Anticipate new trends in radio communication systems for IoT applications Thierry Collette 8

9 Sigfox : Utra Narrow band radio Provides a unique global cellular connectivity solution, from the customers devices to their software applications RF IC solution for consumer market ISM band 433/868/915 MHz 100 bps to 1kbps Sensitivity -140dBm Anticipate new trends in radio communication systems for IoT applications Thierry Collette 9

10 Breakthrough on battery-less memory tags Coupling RFID and IR-UWB radio to provide high speed communication Remote power (battery less memory tag) High data rate Obtained results Low power < 5mW Data rate from 54 to cm RFID (UHF & 13.56MHz) and IR UWB 8GHz Anticipate new trends in radio communication systems for IoT applications Thierry Collette 10

11 NOKIA : Wireless memory TAG Solution to share and experience content locally with a mobile device Nokia World 11 10s required to download 1 Gigabit of content from battery-less memory tags RF IC solution for consumer market Coupling RFID and IR UWB Data rate from 54 to cm Power consumption : 5mW Low cost Anticipate new trends in radio communication systems for IoT applications Thierry Collette 11

12 Leti next generation of ULP radio for less energy, more flexibility autonomous devices FDSOI FDSOI Advanced technologies Digital RF Inductor less RF design [Cost] 3 Power Low Power Design FDSOI Auto calibration (self Healing) Robust Reconfigurable FDSOI Multi Mode Multi Band Adapt RF performances (NF, Linearity) to the context FDSOI is the best technology to answer to theses key wireless challenges Anticipate new trends in radio communication systems for IoT applications Thierry Collette 12

13 Ultra Low Power communications Keys challenges < 4mW in active mode (Rx or Tx) < 1uA Standby mode (battery life) Chip Area lower than 2mm² (RF+DBB) inductor less design Versatility Multi Mode multi band multi data rate Context aware adapt performance & power consumption to the context High performances: VCC=1V Pdc=4mW Medium performances: VCC=0.7V Pdc=1mW Low performances: VCC=0,4V Pdc=300uW Only possible with FDSOI both at RF and DBB Anticipate new trends in radio communication systems for IoT applications Thierry Collette 13

14 Leti ULP radio Development Evolution Reconfigurability L-IOT MMMB 4 ISM Band 2 mm² 300uW to 4mW + MIX RF DIGITAL RF Zigbee & BTLE 2.4GHz 4 mm² 10mW Zigbee, BTLE Inductor less 2.4GHz 4 mm² 5mW - RF ANALOG Zigbee 2.4GHz 11mm² 15mW 130 nm 65 nm 28 nm FDSOI Merged FDSOI technology and design innovation to lower cost & boost performances Anticipate new trends in radio communication systems for IoT applications Thierry Collette 14

15 Current solutions USB PV Energy harvesters PMIC RF com MCU SPI,... Drawbacks No system-level optimization High power dissipation Small battery life Not flexible No dynamical tradeoff possible between power and performance As many hardware developments as application scenarios Benefits COTS Time-to-Market Standardized protocols Harvester delivering 100μJ/event or 100mJ/event Rechargeable battery Li-Ion Cell Sensor interface Power = mW External sensors Anticipate new trends in radio communication systems for IoT applications Thierry Collette 15

16 L-IOT innovations TM Flexibility Adapt the power consumption to the performance needs (Hardware Sense&React) Reconfigurable radio, PMIC, µc Responsiveness Always-responsive system Wake-up radio Asynchronous design Global network optimization Software Sense&React Gain: POWER/100 Anticipate new trends in radio communication systems for IoT applications Thierry Collette 16

17 RF Architecture & design challenges New RF architecture with inductor-less RF blocks Similar scaling down for both RF & Digital Cost reduction Digital oriented architecture Reconfigurable RF & analog blocs Performances (Gain, noise, linearity) Variability compensation Use the Digital power computing to enhance RF performances Requires high speed, high linearity and low variability technology FDSOI Leti DIGBEE Inductor Less ULP radio for IoT Anticipate new trends in radio communication systems for IoT applications Thierry Collette 17

18 28nm UTBB FDSOI the analog technology No channel doping better matching (half of Bulk CMOS) Analog IP area can be shrinked by 4 Lower power consumption lower Vth & less variability Design at low power supply High dynamic range (VDD-Vth) Better analog gain (better than 0,18um CMOS) Anticipate new trends in radio communication systems for IoT applications Thierry Collette 18

19 High RF performances FG & BG Front Gate FT: faster transistor even at low power supply FT: volts Vdrain Front Gate FT: Volts Vdrain Back Gate Back gate useful for RF simple design FT: 80 1 volts Vdrain FT: volts Vdrain FDSOI Back Gate enables design flexibility and additional RF functionality Anticipate new trends in radio communication systems for IoT applications Thierry Collette 19

20 Back Gate control design flexibility Back Gate Body Bias: 85mV/V VTh ajust Efficient knob for analog design Dynamic sizing (inherent switch capability) Dynamic trimming for differential pairs, and fast logic Gain or common mode control loop for amplifier Calibration, self healing Non Linearity reduction Anticipate new trends in radio communication systems for IoT applications Thierry Collette 20

21 Classical approach for LNA design Pro s NF, Gain & BW insensitive to process variability Con s Consumes silicon area (too much) scaling down not possible with advanced technologies L D IN L G M 1 OUT Area 0,14 mm² L S Anticipate new trends in radio communication systems for IoT applications Thierry Collette 21

22 Inductorless LNA Pro s 20 times smaller compare to traditional inductor LNA Con s performances depends on process variability Need Control Area < 0,007 mm² Leti: Gm Boost inductor less LNA Belmas, F.; Hameau, F.; Fournier, J.;, "A Low Power Inductorless LNA With Double Enhancement in 130 nm CMOS," Solid-State Circuits, IEEE Journal of, vol.47, no.5, pp , May 2012 Belmas, F.; Hameau, F.; Fournier, J.;, "A 1.3mW 20dB gain low power inductorless LNA with 4dB Noise Figure for 2.45GHz ISM band," Radio Frequency Integrated Circuits Symposium (RFIC), 2011 IEEE, vol., no., pp.1-4, 5-7 June 2011 Belmas, F.; Hameau, F.; Fournier, J.-M.;, "A new method for performance control of a differential active inductor for low power 2.4GHz applications," IC Design and Technology (ICICDT), 2010 IEEE International Conference on, vol., no., pp , 2-4 June 2010 Anticipate new trends in radio communication systems for IoT applications Thierry Collette 22

23 Inductorless controled FDSOI LNA Take advantages of FDSOI back gate to control the LNA behavior Linearity, gain, noise Use the Digital power computing for dynamic calibration Back gate control Anticipate new trends in radio communication systems for IoT applications Thierry Collette 23

24 Transceiver Implementation Flexible Building Blocks Analog Front-End Analog Baseband Digital Baseband Mixer VGA Channel Filter ADC Channel Filter LNA Data Path 5 mw RF Preselect Filter PLL ADC Synchronization Metrics Estimation 2 mw Adaptive Control Unit Domain 1 Domain 2 Domain 3 1 mw 500 mw 350 mw Global Control Unit 200 mw 100 mw Appli -cation Energy Environment User 50 mw Anticipate new trends in radio communication systems for IoT applications Thierry Collette 24

25 Interesting Challenges in radio communications!! New generations of RF systems for future application Order of magnitude better Optimized at the system level FDSOI open new RF and analog design opportunities for autonomous devices Up to the Industrial maturity Come and join us to design your low power IC in FDSOI Leti brings innovation necessary for your next generation of low power IC design. Let s think globally together Anticipate new trends in radio communication systems for IoT applications Thierry Collette 25

26 Thank you for your attention!