Growing demand reveals more challenges - 20150309i.pdf · Unique insights / foresights from your...
Transcript of Growing demand reveals more challenges - 20150309i.pdf · Unique insights / foresights from your...
Growing demand reveals more challenges
Quality inefficiencies: Congestions, time-outs,
call blocking,
unsuccessful handovers etc.
(Customer testimonials)
Booming operational costs:84 Terawatt-hours consumed by
mobile operators’ radio access
networks only in 2014
(Source: Ericsson)
Wireless networks’ trends & pains
Traffic volume
Network cost
Revenue
Management
complexity
Cost growth outruns ARPU
Densification
Heterogeneity
Unprecedented demand
WiFi, 2G/3G/4G, M2M
Incelligent at a glance March, 2015
Foresight is gold
Incelligent at a glance March, 2015
How this applies to
wireless networks?
Vision of Incelligent Networks
Incelligent at a glance
Incelligent software value - addedOur product provides you with:
Unique insights / foresights from your network and your users’ behavior
(highly heterogeneous, telco/non-telco, input data)
Next generation predictive network management
for you to transform your network to a smart system that proactively adapts to expected
loads making your users happier, your profits higher and our planet cleaner.
Network Insights & Foresights
Autonomic & Predictive
management
Incelligent Networks
Incelligent at a glance March, 2015
Heterogeneous data-sources
Knowledge - based & Predictive
network management
Multi-technology: (e.g., 3GPP & WiFi)
Resource optimization & Customer management
Incelligent at a glance March, 2015
Incelligent bridges 3 worlds
What we do for your network
Incelligent revolutionizes wireless network management with predictive data analytics.
Analyzing heterogeneous telco and non–telco data-sources, Incelligent software enables you to
mine private and public data, predict upcoming network states and optimize in real-time
Real - time Optimization
Traffic steering, Spectrum selection, Power allocation, Element activation / deactivation …
Machine learning, Predicting
Expected usage patterns, Signaling, Bottlenecks, …
Big Data analysis
Telco: Network metrics, Mobility, … + Non-telco: Street conditions, Weather forecasts, …
Incelligent at a glance March, 2015
Key Innovations
Innovation points Incelligent
Heterogeneous input sources (e.g., telco-related and non-telco related
such as weather, day-time, special events etc.)
Knowledge-based –
Predictive Management
Multi-technology(e.g., 3GPP-WiFi)
Resource optimization -
Customer management
Incelligent’s main innovation
Innovation connecting different concepts
Incelligent at a glance March, 2015
• 1 km2 metropolitan station
• 3 key transportation lines
• 1000 wireless device users
moving across platforms
“At a high –traffic train station”Build predictors on the macro cell
load from traffic pattern recognition
1
Propose parameter value settings to
optimally steer traffic among macro-small
cells
Proactively schedule actions to be enforced
in the network
2
Incelligent at a glance March, 2015
“At a high –traffic train station”
Benefits:
18% less energy
20% more capacity
68% faster downloads
• 1 km2 metropolitan station
• 3 key transportation lines
• 1000 wireless device users
moving across platforms
Incelligent at a glance March, 2015
Realistic, complex &
heterogeneous area
Corporal/Industrial
pedestrian users
Highway
Users
Tra
ffic
Ho
tsp
ot
Are
as
(To
uri
sm
-C
ult
ura
l C
en
ter)
Real time network
emulation & visualization
Incelligent at a glance March, 2015
“At a heavy load avenue with hotspot ends”
“At a heavy load avenue with hotspot ends”
Realistic, complex &
heterogeneous area
Corporal/Industrial
pedestrian users
Highway
Users
Tra
ffic
Ho
tsp
ot
Are
as
(To
uri
sm
-C
ult
ura
l C
en
ter)
Autonomic learning of
policies that optimally
serve operator’s objectives
for each cluster.
Grouping of measurements representing similar
network conditions into clusters.
1
2
Cluster = States
exhibiting similar ,
radio, mobility and
weather conditions
in specific
days/hours for a
number of cells
Incelligent at a glance March, 2015
“There is high probability of congestion in
{Cell2_0 and Cell6_1}
WHEN
the day is Tuesday,
the time is 19:12PM and
the weather is Rainy”
ADVANCED ANALYTICS/INSIGHTS
based on clustering of real time measurements
Incelligent at a glance March, 2015
RECOMMENDATIONS/ENFORCEMENT OF
CONFIGURATION ACTIONS
based on learned optimality per situation
Incelligent at a glance March, 2015
Realistic, complex &
heterogeneous area
Corporal/Industrial
pedestrian users
Highway
Users
Tra
ffic
Ho
tsp
ot
Are
as
(To
uri
sm
-C
ult
ura
l C
en
ter)
Measured benefits:
25% faster downloads
10% less session failures
45% less energy
15% higher resource
utilization
Incelligent at a glance March, 2015
“At a heavy load avenue with hotspot ends”
Navigating through advanced analytics
Big data analytics from large - scale Wi-Fi
Incelligent at a glance March, 2015
Achievements so far
1st version of software available
Applied in realistic high – demand use cases with promising results
Released 1st whitepaper analyzing the technology and some measurements on realistic use cases
Started a pilot project with a distinguished international airport
Engaged in discussions with some top network equipment vendors and mobile operators for collaboration
Jeremy Openfund II VC funds Incelligent
Founders
Dr. Serafim Kotrotsos, Electrical & Computer Engineer, VP Business Development
Experienced in business development, productization, technical and business management. Having a
long entrepreneurial background with significant achievements including the development and
commercialization of innovative software products for the telecom industry. Strong in business
consultancy, management and business strategy.
Dr. Kostas Tsagkaris, Electrical & Computer Engineer, Technical Director & General Manager
Experienced in the design, management and performance evaluation of autonomic/cognitive
networks, self-organizing networks, software defined networks, optimization algorithms, learning
techniques and software engineering. Strong in technical management of international and national
projects related to management ICT for networks.
Prof. Panagiotis Demestichas, Electrical & Computer Engineer, VP Research
Professor at University of Piraeus, top scientist in telecommunication network design and
management, queue management. Long experience in international and national research and
development projects. Leading research on 5th generation wireless / mobile networks and
mechanisms for management and design of wireless / mobile broadband networks.
Founding company: WINGS ICT Solutions
WINGS is a dynamic SME conducting research and developing solutions in ICT
• WINGS Strategy is built around:
• Smart Wireless Access
• Device Management
• Internet of Things (IoT)
• Big Data
• End-2-End Infrastructureshttp://www.wings-ict-solutions.eu
Main focus areas
High density wireless broadband networks / heterogeneous nets
Wi-Fi networks (Public / Private)
Machine to Machine / Internet of Things
LTE networks based on licensed / unlicensed spectrum
Network sharing cost / benefit studies
Incelligent at a glance March, 2015