Speaker: Merouane DEBBAH, Vice-president of Huawei France R&D Center Algiers, June 2018

1. Merouane DEBBAH
IEEE Fellow, WWRF Fellow, Member of the Academic Senate of the Saclay Plateau
PH.D. , Full Professor at CentraleSupelec (Paris, France)
Vice-President of Huawei France R&D Cneter
Building Together Algiers Smart City

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Biggest Area in Africa Best Living Standard
Africa Top 4 Economy
Per capita GDP > 3000 $
Population > 40M
71.0%
5.5%
Algeria Morocco Egypt South
Africa
Urbanization Ratio
Poverty Ratio
Lack of IXP in Africa
IXP: Internet exchange
point
With Its Unique Advantage, Algiers has the Potential to be the ICT
Hub of Africa

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City governance
Natural disasters, passive
emergency command, and difficult
cross-agency collaboration
Environmental ecology
Insufficient pollution monitoring
and poor green energy
development
Industry development
Insufficient decision-making
support and difficulties in
enterprise innovation, upgrading,
and transformation
People's livelihood
Difficult Mobility and
Transportation conditions
C138
C139
C158
Severe Challenges Facing Algiers

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Why a Smart City for Algiers?
Efficient
Municipal Governance
High-quality
Public Services
Sustainable
Economic Development
 Social security
 Emergency response
 Utilities management
 Urban planning
 …
 Public transportation
 Education
 Healthcare
 Government services
 …
 Environmental ecology
 Industrial parks
 Tourism
 Intelligent manufacturing
 …

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Increasingly clear industrial polices
 In 2011, EU launched the "Smart City and Community Plan." This
plan aimed to promote environmental protection technologies and
boost local green-technology company development through
smart city projects.
 In 2012, the Ministry of Housing and Urban-Rural Development of
China released the Notification on Executing Pilot Work of
National Smart City.
 In May 2015, the Indian government proposed the plan of
constructing hundreds of smart cities to cope with the
requirements of large-scale urbanization.
Gradually mature technical conditions
 Vigorous development of cloud and Big Data
 Rapid popularization of mobile broadband, application of a large
quantity of mobile applications
 Passing the new IoT standard and starting to construct IoT at the
city level
Business model transformed from trial to implementation
 The PPP mode is gradually accepted. Governments regulate
guidelines and carry out pilot implementation.
Three Reference Steps for Urban Development Recent Key Changes
British
"Digital
City"
South Korea
"U-Korea"
Dubai "Smart City"
Singapore "Smart
Nation"
1.0 era
Digital city
Driven by
geographical
information
and led by
professional
agencies
2.0 era
Wireless city
Interconnecti
on city
Driven by industry
applications,
promoted by
various mains
supply cities, and
transmission
based on 3G and
Wi-Fi
3.0 era
Smart city
Driven by emerging
technologies
Front-end sensing and
data collection
Smart data integration
New-style urbanization
in China
Why Now？

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Lack of a unified
network bearer
 Independent network
construction of each
government agency, failing to
share information
 Failure to centrally manage
and maintain resources
New service growth
facing network
challenges
 HD video development
poses challenges on
bandwidth resources.
 Access of a large quantity
of agencies, insufficient
bandwidth resources
 Long new service rollout
time and low deployment
efficiency
 Access of increasing service
departments, poor network
scalability
 Wi-Fi is a necessity but not
available in hot spots
 Unstable roaming of mobile
devices: frequent
disconnections
Poor city network
experience
 Ever-increasing security
requirements over
government agency
services and data
 Services of all agencies are
running on a network.
How to ensure data
security and independence
of different agencies is a
severe challenge.
Prominent service
security requirements
Increased
bandwidth
Rich
resources
Bottlenecks
Service transfer
Requirement
increase
Network Bottlenecks for Smart City Construction

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Standard
 Various terminals and
standards hinder
interoperability
 Lack of a unified IoT
operating system
Platform
 Far from compatible and open
 Insufficient support capabilities
 Inflexible rules
Access
 Mass connections
 High power consumption
 Limited coverage
 High costs
Challenges Facing a Large Quantity of IoT Applications in the
Broadband Interconnection Era

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 Lack of unified planning
and nonstandard
information resource
construction
 Insufficient information
resources
 Poor data quality
 Inconsistent standards and
formats
 Repeated data collections
 Lack of sharing mechanisms
 Weak data opening awareness
 Low information resource
usage
 Heterogeneous and exclusive
data
 Failure to update information
resources in a timely manner
Insufficient emphasis on
IT construction
Difficult information
resource sharing
Low data usage
Information Silos Hinder Digital Transformation

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Urban
communications
network
Urban IoT
Urban cloud data center
CloudNetwork
Smart
governmen
t
Smart
application
SafeCity
Smartpark
Wireless
city
Smart
education
Smart
healthcare
… … …
Governme
nt
Industry Public
Smart Education
Smart Healthcare
Smart ParkSafe City
Smart Government
Smart
Applications
Smart Transportation
Operation CenterI C T
a p p l i c a t i o n
e n a b l e m e n t
p l a t f o r m
B i g D a t a
s u p p o r t
p l a t f o r m
O p e r a t i o n
m a n a g e m e n
t p l a t f o r m
PlatformHuawei Smart City Solution — Smart Applications

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City operating center
City IoT
Central Nervous System – Brain
Peripheral Nervous System
+
Cloud data center
+
City communications
network
Huawei, Builder of Smart City's Nerve System

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Cloud Data Center + Intelligent Operation Center, Brain of Cities

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IoT + Communications Network, Peripheral Nerve System of Cities

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China
Algeria
Russia
Laos
Angola
Tajikistan
Venezuela
Ecuador
South Africa
Brazil
South Korea
Pakistan
Kazakhstan
Nigeria
Huawei Smart City Solution has served 100+ cities, across 40+ countries
Global Footprint of Huawei Smart City

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