internet of things, autonomous driving and frequency ... · standardisation of bluetooth sig in...
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0Funded by the European Union
Internet of Things, autonomous driving
and frequency regulation
Dr. Bernd Sörries
Rome, 26.09.2018
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Funded by the European Union
Agenda
Definition of IoT
Requirements and allocation/assignment of frequencies
IoT and Standardisation of technologies
Use case „Smart Mobility“ (autonomous driving)
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Funded by the European Union
Definition of IoT?
IoT uses cases vary extremely
Illustration of M2M-solution
Quelle: Büllingen/Börnsen (2015) nach Höller et al. (2014).
Physical
itemBusiness
process
M2M
elementM2M
applicationNetwork
M2M system solution
sensors
actorsWide Area
Network
(WAN)/ Local
Area Network
(LAN)
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Definition of IoT?
Definition and Clustering of terms dealing with Internet of Things, Industry
4.0 and Machine-to-Machine-Communication or Cyber-physical systems
vary:
No clear cut definition,
B2B like B2B2C (e.g. Connected Car, E-Health)
Internet of Things (IoT):
Enabling connectivity of various things and machines
Different networks, different purposes, different requirements
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Definition of IoT?
Machine-to-Machine-Communication (M2M)
Automated exchange of information without any human interference
(traffic steering, grid automation etc.)
Direct mode communication or use of centralized platforms
IoT covers also Wearables etc.
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What means IoT?
Cyber-physical systems (CPS)
Networking in complex systems, functions and data exchange of
physical, biological and possibly other components with the help of
information technology and software
The human-machine interface (e.g. Smart Factory, Smart Mobility,
Smart Grid) is generally included.
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Worldwide IoT-connections
Year
Worldwide Europe
Ericsson Cisco GSMA
2016 5,6 Mrd. 5,8 Mrd. 87,8 Mio.
2020/2021/2022 17,6 Mrd. 13,7 Mrd. / 18 Mrd. 182 Mio.
Source: LS telecom/VVA/Policy Tracker.
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Requirements and use of frequencies
Current situation
Narrowband applications and technologies (e.g. WiFi, Bluetooth,
use of license exempt frequencies (assignment procedure: general
authorisation)
In the midterm future
Use of exclusive frequency to match requirements like low latency,
high technical availability, deep indoor, resiliency :
Frequencies
Use of already assigned frequencies in 700/800/1800/2600 MHz
3,4 GHz - 3,8 GHz frequencies for 5G-IoT-use cases
Dedicated frequencies for special services (Smart Grid, PPDR)
New network technologies (network slicing)
Deployment (resiliency)
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RSPG-Guide
RSPG roadmap for frequencies facilitating IoT in Europe
Quelle: RSPG (2016).
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IoT-Technologies and Status of
Standardisation (I)
Complex eco system of wireless technologies
Technology Data rate FrequenciesStandardisation
approachComments
eMTC (enhanced for machine
type communications) (also
known as LTE-M or LTE Cat-
M1)
1 Mbps licensed3GPP
Standardisation
More expensive technology
than other LPWAs with higher
data rates
NB (narrowband)-IoT (or LTE
Cat-NB1)
20 - 60
Kbpslicensed
3GPP
Standardisation
Software upgrade to existing
infrastructure and less
expensive than other LPWA
technologies
EC (extended coverage)-GSM 10 Kbps licensed3GPP
Standardisation
Software upgrade to existing
infrastructure, but less good
than NBIoT
LoRaWAN250 bps -
50 Kbpslicense free
Developed by
Semtech,
standardization runs
under LoRa Alliance
A growing ecosystem with
certified devices
Quelle: Cambridge Consultants (2017).
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TechnologyData
rateFrequencies
Standardisation
approachComments
Weightless various
Weightless N. licence-free
Weightless P. licence-free
Weightless W. TV whitespaces
Weightless SIGSo far a limited commercial
activity
Bluetooth Low
Energy
(BLE)
various licence-freeStandardisation of
Bluetooth SIG
In consumer electronics strongly
adapted for short-range
communication
802.15.4
(ZigBee und
Tread build on it)
various licence-free
802.15.4 is
standardized by IEEE,
ZigBee and Thread
additionally use
protocols
Supports short-range mesh
networks
5G variousboth
licence-free and licenced3GPP Standardisation
Developed to enable IoT from the
outset, but standardization is only
at the very beginning, only
available on a larger scale in a few
years' time
Quelle: Cambridge Consultants (2017).
IoT-Technologies and Status of
Standardisation (II)
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Is 5G the answer?
Latency (Delay):
1 ms - second
User per cell
(Links per km2):
fex - millions:
Massive Machine Type
Communication
Data rates
(Throughput):
Ultra-high - low
Ultra-reliable
communication (URC)
- best effort
Source: http://www.huawei.com/5gwhitepaper/ - last access: Sept. 2015
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5G system for IoT
Quelle: 5G Initiative Team, NGMN 5G White Paper, 2015, https://www.ngmn.org/uploads/media/NGMN-5G-White-Paper-V1-0.pdf
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IoT applications and the frequency
authorization regime preferred by users (I)
Applications CharacteristicsPreferred authorisation regime
expressed by stakeholders
Ultra-reliable low latency communications
(URLLC): Applications for maintenance
services for grid systems after electricity
network failure detections
Remote connections to grid systems
needed
Private commons might be feasible in
order to remotely connect to the grid.
The exclusive licensee could give
access to its spectrum for the time
needed to do the maintenance
Ultra-reliable low latency communications
(URLLC): Critical infrastructure (e.g. high-
voltage grids)
Rely on end-to-end service guarantees
(independent of network loadIndividual exclusive licenses
Ultra-reliable low latency communications
(URLLC): Factory automation applicationsRely on end-to-end service guarantees Individual exclusive licenses
Ultra-reliable low latency communications
(URLLC):: Fault localisationRequire high QoS and low latency Individual exclusive licenses
Ultra-reliable low latency communications
(URLLC): Identification in smart gridsRequire high QoS Individual exclusive licenses
Massive machine type communications
(mMTC): Smart metering
Data collection from measurement points
with latency requirements cited in the range
of one to several seconds. The spectrum is
used to transfer information from remote
sensors to a central point.
It can work without dedicated spectrum,
shared spectrum solution is considered
beneficial (e.g. reducing spectrum
acquisition costs, improving time taken
to access spectrum).32 It could also rely
on license exempt spectrum, as long as
there is no lack of communication for
several hours.
- table continued next page -
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IoT applications and the frequency
authorization regime preferred by users (II)
Applications CharacteristicsPreferred authorisation regime
expressed by stakeholders
Ultra-reliable low latency communications
(URLLC): Transmission system operators
(TSOs)
The need of spectrum is not predictable, as
it depends on high voltage peaks and the
associated very sophisticated QoS
demands.
Individual exclusive licenses
Ultra-reliable low latency communications
(URLLC): Train control, Platooning
Monitoring and controlling train movements.
Stringent requirements for availability and
QoS, Interoperability requirements.
Individual exclusive licenses
Enhanced mobile broadband (eMBB): High
throughput and capacity in localised hot
spot and congested areas
Improved peak/average/cell-edge data
rates, capacity and coverage
Individual exclusive licenses, supported
in a local service area by a license
exempt, light licensing, or a licensed
shared access approach
Ultra-reliable low latency communications
(URLLC): other examples including remote
surgery, intelligent transport,
infrastructure protection
Requirement for emerging critical
applications have stringent requirements for
capabilities such as throughput, latency and
availability.
Individual exclusive licenses
Source: Policy Tracker/VVA/LS telecom (2017)
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Current European measures (I)
Relaxation of technical conditions of use in the 862 - 868 MHz
frequency band (Short Range Devices)
Initiative to make available parts of the 870 - 876 MHz and 915 - 921
MHz band
Creation of usage possibilities of the 1900 – 1920 MHz band
CEPT for BDA2GC (Broadband Direct Air-to-ground
Communications), a frequency band that has so far been little
used
Directional radio frequencies or point-to-multipoint frequencies for IoT
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Standardisation and enabling the use of IoT in frequency bands
allocated to mobile communications (under 3GPP)
Extended range (GSM for IoT) (EC-GSM-IoT), Performance
upgrade to EGPRS for M2M, global cellular IoT for all GSM markets
LTE-eMTC, LTE Evolution for massive MTC approved under 3GPP
Release 13
Narrowband frequency technology on the LTE platform for the
provision of low cost massive MTC (NB-IoT)
Contribution of the EU Commission to standardisation
Current European measures (II)
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Regulatory response to use cases
Are 100 MHz in the 3.6 GHz range sufficient for an efficient 5G IoT
network?
Assignment of regional or even local frequencies?
Coverage obligations and technical requirements (e.g. uplink is
more important than downlink, low latency)? Outdoor or Incar? Edge
of cell? Time to market: when is low latency needed?
Shared use of frequencies
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Frist Conclusions
Implementation of IoT complex due to high heterogeneity
IoT more an ecosystem than a technology
Technology and networking approaches only partly clear
Business models largely still under development
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Autonomous driving
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Status quo Smart Mobility (I)
In newly introduced cars mostly infotainment services play most important
role; collaborative connectivity use-cases less prevalent
However, with the move towards autonomous driving OEM focus on other
services
Autonomous driving presents a series of challenges to mobile networks:
Communication between vehicles (V2V) as well as between
vehicles and smart infrastructure (V2I) required
Approx. 4 TB are expected to generated per autonomous vehicle
Besides throughput, mobile networks need to feature low E2E
latency and extremly high reliability
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Status quo Smart Mobility (II)
Requirements do not translate into par for par into necessary network
rollouts
Several technological developements mitigate the required network
investments:
Direct data transfers between vehicles and between vehicles and
infrastructure (+ competing 802.11p standard)
Data processing inside the vehicle
Intelligence inside the car vs. inside edge-clouds
Tranmissioning transfer of delta informations only
Still, moderate data throughput (particularly uplink) and E2E low latency
are a must have
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Use Cases „V2X“
• Communication with infrastructure in the direct
environment:
o Communication beacons
o Smart crash barriers
o Traffic lights
o Mobile Edge Server, if applicable
Vehicle-to-Infrastructure
(V2I)
Vehicle-to-Vehicle
(V2V)
• Direct communication between vehicles in the direct
vicinity, even without a mobile phone signal:
o Data exchange between cars and trucks
o Summary of several platoons
Vehicle-to-Network
(V2N)
• Communication that goes beyond the close-up range:
o Teleoperator
o OEM backend
o Central traffic control instance or traffic database
o Remote smart infrastructure (see V2I)
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Connectivity demands of future connected
vehicles
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Comparison of Technologies
Timely availability
Low provisioning costs
Limited quality parameters
Controversial discussion about the use of 802.11p; individual
OEMs rely on this technology to implement security
applications. Other OEMs rely on C-V2X. Only 5G will enable
advanced, more sophisticated smart mobility services.
C-ITS
(802.11.p)5G
in connection with
Edge-Computing
Not timely availability
High provisioning costs
Extensive quality parameters
C-V2X
LTEC-V2X
5G (Rel. 15)
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C-IST
(Cooperative Intelligent Transport System)
• The C-ITS (Cooperative Intelligent Transport
System)-development took place aiming at
networking vehicles (among each other).
• C-ITS enables V2V and V2I data
transmission based on WLAN standard
802.11p
• C-ITS uses the 5.9 GHz frequency band
• Development process already completed,
so C-ITS is ready for commercial use
• There is already a C-ITS test track between
Vienna, Frankfurt and Rotterdam where V2I
communication provides early warning of
short-notice construction sites, among other
things.
Technology is already commercially viable
Comparatively inexpensive, since no
additional network infrastructure is
required
Low latency of up to 2 ms
Decreasing quality parameters with high
density of participants
Lower spectral efficiency compared to
mobile communications
Missing V2N functionality
Does not use existing mobile radio
infrastructures
Brief profile Central advantages and disadvantages
of C-ITS
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C-V2X
• The predecessor LTE Broadcast was
already introduced in 3GPP Release 9 and
further improved in Release 12 (LTE Direct).
• Point-to-multipoint communication and
direct data transmission without mobile
phone coverage in the 5.9 GHz band are
already technically possible.
• However, only the C-V2X transmission
introduced with Release 14 offers low
latency (1 ms), high mobility and reliable
connections.
• If a mobile phone coverage exists, the
transmission is coordinated by the base
station, while the data exchange takes place
directly.
• Outside mobile coverage, predefined rules
determine frequency usage
Uses existing mobile radio infrastructures
Higher spectral efficiency
Better quality parameters compared to C-
ITS (packet loss, range, etc.)
Convergent communication solution for
V2I, V2V and V2N
Data transmission also possible without
mobile phone coverage
C-V2X is not expected to be commercially
available for several years
Few field tests show practical suitability so
far
Brief profile Central advantages and disadvantages
of C-V2X
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Autonomous driving and Mobile Edge
Computing
• The success of the cloud segments
IaaS, PaaS and Saas is primarily due
to economies of scale and the
associated cost advantages.
• These are also relevant in the context
of smart mobility services, as up to 2
TB of data per car must be generated,
processed and stored daily.
Initial Situation
The distance between the
central cloud server and the
networked vehicle leads to
higher latency.
Mobile Edge Cloud
Decentralization of the cloud, i.e.
technical realization of the service
will be realized at the eNodeB level
(successive compression):
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Scenarios and Quality of Service /
performance of mobile networks
• V2V: Exchange of position/direction
vectors
• V2V: Exchange of sensor data
• V2I: Exchange with smart
infrastructures
• Regular map material updates
• Regular firmware updates
• Traffic light phase optimized driving
planning
• Traffic-optimised driving
• Collaborative maneuver planning of
platoons
Single-autonomous driving planning
• Central control and computing
instance
• Real-time map update
• Teleoperated driving
Fully centralized driving planning
(after 2025)
• Central maneuver planning at traffic
hotspots (e.g. motorway junctions)
• Central maneuver planning for
urban areas
Partially centralized driving planning
• Scheduling is done exclusively on the basis of sensor data
• Basic mobile phone coverage for out-of-sight (traffic light phases, traffic information, traffic jam information)
• Driving planning is centralised (MECs) or teleoperator takes over control at traffic hotspots and in urban areas (for cars "confusing" traffic situations).
• Extremely high availability, reliability, low latencies and high data rates (uplink) in the respective areas, as well as MECs
• Driving planning is done
• Ubiquitous extremely high availability, reliability, low latencies and high data rates
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Regulatory aspects
Dedicated V2X spectrum necessary to achieve low latency
EU Commission‘s technology neutral approach slows down
migration path towards unified 5G solution
Technical requirements will steadily rise as autonomous driving
penetration surges and OEMs move towards edge cloud solutions
Regional penetration of egde cloud infrastructure: digital divide
because of high cost of network deployment (?) and is there enough
spectrum available to duplicate infrastructure (?)
Spectrum and / or RAN-sharing possible solutions to address these
challenges
Access to edge-clouds across OEMs and MNOs potentially critical
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Transmission technologies
Safety-relevant smart mobility services require low packet loss rates, secure
transmission rates and, in particular, low latency (guaranteed QoS).
However, the packet transit times in optical fiber basically limit the distances that a signal
can cover under the requirement of extremely low latency. In one millisecond
a vehicle has already covered a distance of 4 cm at 160 km/h,
the maximum signal path in optical fibre (without data processing) is only 200 km
Public mobile radio networks in their current form cannot meet the latency requirements of
advanced smart mobility services.
In view of the enormous amount of data and the extensive nature of the transport
network, non-public radio networks are not an economically viable alternative to public
networks.
C-ITS and C-V2X are two transmission technologies specially developed for V2X
communication.
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Classification of scenarios
Infrastructural requirement of public 5G networks
effic
iency
pote
ntials
Single
Autonomous
Driving
Partially
centralized driving
planning
Fully centralized
driving planning
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Conclusion
OEMs have no common view on which communication technology
(WLANp or LTE/5G) is the preferred technology
Uncertainties might negatively affect the establishment of an Eco-System;
As long as there is no common view / demand it is difficult for regulators
to impose certain obligation addressing potential requirements of OEMs
when assigning frequencies
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