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

Incelligent at a glance March, 2015