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Location-Enabled LoRaIoT Network: “Geo-LoRa-ting” your assets T. Lestable, Ph.D Innovation & Technology Office of CTO SAGEMCOM SAS

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  • Location-Enabled LoRa IoT Network:

    Geo-LoRa-ting your assets

    T. Lestable, Ph.D

    Innovation & Technology

    Office of CTO

    SAGEMCOM SAS

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 2

    Internet of Everything (IoE) is comingsooner than you think

    By 2020:

    * [30-50] Billion devices connected

    * $7,1 Trillion Global Market

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 3

    IoT/M2M, Beyond the Hype

    http://www.gartner.com/newsroom/id/2575515

    5G??

    http://www.gartner.com/newsroom/id/2575515

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 4

    IoT early stage investments (2013)

    Cellular IoT

    $25M

    $115M

    $25M

    $11M

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 5

    Overall IoT Market Forecast by 2025

    Source: McKinsey, June 2015

    True revolution is

    not coming from

    where you might

    think.

    Industrial IoT is

    leading the Market !

    minority

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 6

    Strategic IoT Use Cases/Services (illustrations)

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 7

    GeoFencing, GeoTargeting, GeoPositioning, Tracking

    Trigger geofences based on events like

    - entering, dwelling, or leaving a place

    - time of day

    - crossing a speed threshold

    - entering a city, state or country

    - after traveling a given distance

    - after a particular change in altitude

    Source: Geoloqi

    Smart Cities

    http://cdn3.raywenderlich.com/wp-content/uploads/2015/02/geofence.png

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 8

    Waste Collection for Smart Cities, By ENEVO

    Waste Collection optimized route

    Waste Container connected sensor

    http://www.enevo.com/ Finland

    Ultrasonic fill level sensor

    10+ years battery life

    IP 66, [-40, +85]

    http://www.enevo.com/http://www.enevo.com/

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 9

    Tank monitoring & Delivery Optimization, By SENET

    Network as a Service (NaaS) - Wireless Network roll-out (150 Rx GW)

    - Data Aggregation platform

    - Network Resource Tools

    http://www.senetco.com/ US

    Propane, Heating oil, Water, Farming coop.

    http://www.senetco.com/http://www.senetco.com/

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 10

    Fire/CO2 Detection & Alarms, by FINSECUR

    10 years battery life

    Up to 10 DAAF (Detectors) interconnected

    Std: EN 14604

    HQ Nanterre, FR http://www.finsecur.com/index.php

    http://www.finsecur.com/index.phphttp://www.finsecur.com/index.php

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 11

    Emerging De-facto LRLP standards

    Vs

    De-facto standards

    IOT, Multi-Vendors, Certification

    Source: McKinsey, June 2015

    Open Standard

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 12

    LoRA Alliance

    announced during CES 2015, in Las Vegas (January15)

    Launched during MWC 2015, in Barcelona (March15)

    http://lora-alliance.org/

    IoT Long Range Low Power (LRLP): LoRA Alliance

    +100 members!! (Sept.15)

    http://lora-alliance.org/http://lora-alliance.org/http://lora-alliance.org/http://lora-alliance.org/

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 13

    LoRa Alliance Sample of Members (+100 members)

    Operators

    Sponsor Members Contributor Members A

    dopte

    r M

    em

    bers

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 14

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 15

    LoRa Network Features

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 16

    Sagemcom IoT Offer - overview

    Sagemcom Offering spreads through a set of IoT

    products :

    Sagemcom IoT Packet Core (SPC): a modular software

    suite to build core network IoT solutions

    Sagemcom IoT RAN (SRAN): a set of network

    equipments (HW/SW) to build the IoT Radio Access

    Network

    Sagemcom IoT End-Points (SEP): a set of optimized

    radio modules to build IoT connected devices.

    SEP SRAN SPC

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 17

    LoRa PHY Layer: Chirp Spread Spectrum (CSS) / IEEE 802.15.4a

    =

    2

    =2

    =1

    = 2

    Linear Frequency Modulation (LFM)

    Spreading Gain

    = = 2 1

    LoRa PHY inherits its properties from

    RADAR technology, and its maturity in

    Telecom from IEEE 802.15.4a (WPAN)

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 18

    LoRaWAN device classes

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 19

    LoRa: Bidirectional communications

    Class A: Receiver Initiated Transmission strategy (RIT)

    Class B: Coordinated Sampled Listening (CSL) Network may send downlink packet to node at any Rx slot

    Class C: Continuous Listening

    LoRa is

    fully

    bidirectionnal

    from early

    stage.

    Three Modes

    (Class A, B,

    C) allow to

    embrace

    Industry 4.0

    strong

    segment of

    applications.

    La

    ten

    cy c

    on

    str

    ain

    ed

    ap

    plic

    atio

    ns

    Po

    we

    r Effic

    ien

    cy

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 20

    LoRA nodes protocols

    Ultra small/low power

    10x5x5 cm,

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 21 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 21

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 22

    TDOA Basics

    = +

    = +

    = =

    is not needed no need to synchronize EndPoint with BS

    Hyperbolic Geolocation

    =

    =

    1

    LOS assumed

    = =

    = + 2 =

    2 +

    2 + 2

    2 = 2+

    2

    constant

    2 1 2 1 211

    1

    = Linear w.r.t =

    Known Constant

    Source: Semtech

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 23

    LPWAN Killing application = Geo-Location whilst saving battery!

    TDOA

    RSS

    DRSS

    Data

    Fusion &

    hybrid

    solutions

    are natural

    solutions

    thanks to

    flat IP

    architecture

    Geo-Location is a MUST HAVE

    for many industrial 4.0 applications,

    and thus KEY Differentiator amongst

    IoT Systems.

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 24

    Geolocation Macro BS/GW Roll-out - illustration

    No Geolocation

    Outdoor Geolocation

    available and only few

    indoor available

    GPS

    Macro BS/GW

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 25

    Geolocation Densify Macro BS/GW - illustration

    GeoLocation not

    guaranteed in deep

    indoor

    Data rate optimized

    (battery saving)

    devices anywhere

    GPS

    Macro BS/GW

    Deep indoor

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 26

    Cellular IoT Roll-out Layout Evaluation Methodology

    Hexagonal Layout

    LoRa Parameters

    Carrier frequency = 868MHz

    Bandwidth BW = 125kHz

    Spreading factor 7

    Layout and Drop Parameters

    Inter-Site Distance ISD = 1732m

    GW Drop location Fixed (42 sites, hexagonal layout)

    Antenna gain GW = 3dBi (omnidirectional)

    Antenna height GW = 32m

    Transmit power GWMax = 21dBm

    Noise figure NFGW = 7dB

    EP Drop location Random (5000 EPs outdoor)

    Antenna gain GW = 0dBi (omnidirectional)

    Antenna height EP = 1.5m

    Transmit power EPMax = 14dBm

    Noise figure NFEP = 7dB

    Propagation Parameters

    Pathloss Model Friis ( = 3)

    Shadowing Standard deviation S = 8dB

    Fast Fading None LoS, no multipath (delay)

    Localization

    Number of transmission per EP 10

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 27

    Geolocation Algorithms Framework DTOA behaviour

    LoRa Networks greatly benefit from:

    - Multiple Rx BS/GW (act as Sensor NW for UL packets)

    - Centralized Data Fusion Architecture

    DTOA

    Rx Macro BS/GW

    Other Key LoRa Wireless degrees of Freedom will bring improvements

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 28

    TDOA (Weighted Least Square) influence of SF

    SF7

    SF9

    SF12

    SF12

    SF7

    Inc

    rea

    sed

    SF

    in

    cre

    as

    ed

    co

    ve

    rag

    e

    hig

    he

    r N

    b o

    f R

    x G

    Ws

    To get full benefits from LoRa degrees of

    freedom (ADR, TxPr, densification,), joint

    Optimization is required designing RRM

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 29

    IoT Network Management & planning Preliminary Guidelines

    DTOA DTOA

    ISD (m) SF

    50% - SF Gain

    30% - Algorithm gain

    Network Densification

    Increasing the Spreading Factor

    (SF) greatly benefits

    GeoLocation

    Densifying the Network

    also benefits GeoLocation

    ISD = 1732 m

    Thanks to its dynamic & adaptive features, LoRa enables Optimized

    Network Roll-out & Management, with Multiple SLA Objectives

    Macro only

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 30

    Sagemcom - Femto LoRa integration

    An easy way to increase the densification to :

    Connect additionnal objects

    Connect inhome appliances

    Enhance the accuracy

    LoRa in the Home residential GWY :

    Plugging a module on existing Home residential

    Gateway via existing USB interface.

    LoRa capabilities managed from LoRa servers :

    Low software impact inside the Home residential

    gateway itself (mainly driver of the Module and

    passthrough interface to the Lora Server)

    Home residential

    Gateway

    Femto LoRa

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 31

    Indoor Femtocells Roll-out Layout Evaluation Methodology

    LoRa Parameters

    Carrier frequency = 868MHz

    Bandwidth BW = 125kHz

    Spreading factor Gnie (=7)

    Layout and Drop Parameters

    Inter-Site Distance ISD = 1732m

    GW Drop location Fixed (19 sites, hexagonal layout)

    Antenna gain GW = 3dBi (omnidirectional)

    Antenna height GW = 35m

    Transmit power GWMax = 21dBm

    Noise figure NFGW = 7dB

    EP Drop location Random (1000 EPs outdoor)

    Antenna gain GW = 0dBi (omnidirectional)

    Antenna height EP = 1.5m

    Transmit power EPMax = 14dBm

    Noise figure NFEP = 7dB

    Propagation Parameters

    Pathloss Model 3GPP TR36,942 v12,0

    Shadowing Standard deviation SF = 8dB

    Inter-correlation 0

    Fast Fading COST207 Rural Area LoS/NLoS, multipath (max delay 0.5s)

    Localization

    Number of transmission per EP 1

    HetNet Femto Layout, Density 0.5/km2

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 32

    With Box/Femto LoRa: 100% data coverage & enhanced GeoLoc

    Severe access devices

    regain connectivity &

    Geolocation improved

    GeoLocation not always

    guaranteed indoor

    GPS

    Data Fusion

    Femto (D)RSS

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 33

    Joint/Hybrid GeoLocation Performance

    Femto RSS Fusion with Macro DTOA

    Macro only Macro + Femtos

    Gain

    ISD = 1732 m

    Even if not synchronized, Femtos benefit

    greatly Geolocation thanks Fusion of their

    RSS with Macro DTOA

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 34

    Influence of Femtos Density onto Joint/Hybrid GeoLocation

    Performance RSS Fusion

    Femtos benefit

    Geolocation

    thanks to Data

    Fusion

    (RSS and

    DTOA)

    ISD = 1732 m

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 35

    With Box/Femto LoRa + sync option: 100% data + GeoLocation

    coverage

    Localisation and data

    services available

    everywhere indoor

    GPS

    Data Fusion

    Femto DTOA

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 36

    Joint/Hybrid GeoLocation Performance

    Femto DTOA (sync) Fusion with Macro DTOA

    When synchronized, Femtos benefit on

    Geolocation is outstanding thanks to

    Fusion of their timestamps (TOA) with

    Macro TOAs, through DTOA approach

    ISD = 1732 m

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 37

    Reliability @90%: Influence of Femtos roll-out, thanks to

    Hyrid/Fusion of RSS/TOA

    Macro only

    Data Fusion Gain

    Time stamps + RSS

    Data Fusion

    Femtos

    ISD = 1732 m

    Flexibility of IoT LoRa Network allows to tailor & adapt both roll-

    out strategies & dynamic performance to meet SLA & QoS Criteria,

    thus delivering true LPWAN Experience

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 38 This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 38

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 39

    IoT GeoLocation assessment Criteria & trade-offs

    There is a strong NEED for

    flexibility to deal with variability &

    Randomness of Wireless

    Environment !

    This will make the

    difference on SLA

    & TCO !

  • This document and the information contained are Sagemcom property and shall not be copied or disclosed to any third party without Sagemcom prior written authorization 40

    LPWAN IoT Systems Now & Tomorrow

    LPWAN are changing already the rules of competition by

    proposing new disruptive business models, thanks to tailored

    technology, well dimensionned from the beginning with the true

    fondamental and simple primary needs from major industrial

    IoT:

    - (Very) Low Power

    - (Very) Long Range

    - (Very) Low Cost (TCO)

    This allows new actors to join the Connected Economy, by

    adopting available & affordable wireless technology, with simple

    & fast roll-out.

    Simplifying IoT roll-out will massively

    benefit value extraction from data, and

    its monetization.

    Innovative & disruptive business is emerging from ISM bands

    technologies (e.g. WiFi, RFID, SRD, and now IoT), Regulators

    should bear that in mind, whilst LTE-U/LAA is crossing the line

  • Thanks

    Any Question?

    Special Thanks to:

    - Massinissa Lalam, Ph.D

    - Maxime Grau