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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
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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
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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
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IoT early stage investments (2013)
Cellular IoT
$25M
$115M
$25M
$11M
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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
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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)
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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
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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/
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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/
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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
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Emerging De-facto LRLP standards
Vs
De-facto standards
IOT, Multi-Vendors, Certification
Source: McKinsey, June 2015
Open Standard
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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/
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LoRa Alliance Sample of Members (+100 members)
Operators
Sponsor Members Contributor Members A
dopte
r M
em
bers
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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
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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
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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)
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LoRaWAN device classes
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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
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LoRA nodes protocols
Ultra small/low power
10x5x5 cm,
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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
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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.
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Geolocation Macro BS/GW Roll-out - illustration
No Geolocation
Outdoor Geolocation
available and only few
indoor available
GPS
Macro BS/GW
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Influence of Femtos Density onto Joint/Hybrid GeoLocation
Performance RSS Fusion
Femtos benefit
Geolocation
thanks to Data
Fusion
(RSS and
DTOA)
ISD = 1732 m
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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
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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
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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
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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 !
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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
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Thanks
Any Question?
Special Thanks to:
- Massinissa Lalam, Ph.D
- Maxime Grau