Inop presentation dec sgb 2017

iNOP presentation

Intelligence by Koonsys

Authorized Partner

ABOUT KOONSYS

iNOP optimization software launched

KOONSYS

founded

First contract with MNOs

First international

contract

All Hungarian wireless MNOs contracted

iNOP strategy accepted

2004 2015 2016

First iNOP service completed

2005 2006 2009 2010 2012

iNOP in media

International launch

Koonsys timeline - History

Traditional services Innovative services

Wir

ele

ssN

etw

ork

Op

era

tors

✔ High Level Network design✔ Detailed RAN & TRM Network Planning✔ Measurements (drive test, statistical)✔ RAN Optimization (statistical & physical)✔ Planning tool development & support✔ Consultancy & Expert pool

✔ iNOP Intelligent Network Optimization✔ Smart City planning✔ Revenue boosting solutions✔ GIS and OAM support tools

Wir

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mm

un

icat

ion

✔ High Level Network design✔ Consultancy✔ FO network design✔ Expert pool

✔ Optical hub site optimization

Product and service portfolio

Customers and partners

TRENDS

By 2025

900 billion USD CAPEX infrastructure investment will be done by mobile operators in the next 5 years to roll out faster networks.

1 2 3 4

Capacity

1 2 3 4

Lifecycle

CAPEX Spending: Tech Capacity vs Lifecycle

• 4 billion new broadband users

• Data traffic per subscriber will increase by over 500-fold

• Over 100 billion devices will be connected

MNOs are under double pressure

Cost savings• ARPU decrease

• Margin erodes due to competition

• No decrease in EBIDTA is accepted

• Technology life cycle shortens – as well payback time

• Customer acquisition cost increase

Network expansion• New technologies deployed

• Mobile data boom

• Smartphones enable data intensive services

• 5G, IoT is behind the corner

iNOP is the only state of the art network optimization solution in the market addressing both cost

savings and network enhancement problems.

What is iNOP and why it is unique?

• iNOP is a new and unique concept in the market for transmission networks

• iNOP is an E2E Solution as a Service for telecom carriers

• iNOP is a techno-economic model combining both technical and economic aspects of transmission network optimization

• iNOP is a software integrating engineering know-how, complex mathematical algorithms and financial measures

Same optimization methodology has been successfully used by Fortune top companies

iNOP uses industrial best practices

iNOP is the only telecom solution which implements best optimization practices of other industries like

o Supply chain management

o Logistics

o Production

o Workforce management

o Energy management etc.

iNOP solves transmission problems at all network lifecycle stages

• Ensure TRM capacity for all BS

• Future proof TRM network

• Optimal spending of CAPEX

• Minimized OPEX

Lau

nch

new

RA

N t

ech

no

logy

RA

N e

xpan

sio

n • Minimum # of new HUB sites

• Optimal spending of CAPEX

• TRM capacity for all BS

• Optimized $/Mbps

TRM

cap

acit

y u

pgr

ade

• TRM capacity bottlenecks

• Overloaded HUB sites

• Minimize CAPEX spending

• Optimized $/Mbps

Mat

ure

net

wo

rk

• Reduce OPEX

• Increase spectrum efficiency

• Reduce network complexity

iNOP helps to find substantial savings

Typical CEE MNO budget

$ 568,700,000 per year

Subscribers Base 3-5M

ARPU $12-15

Technology 2G/3G/4G

Infrastructure ~4000 BTS

Staff ~1000

If iNOP finds 10% savings it values over 2 million USD per year for the operator

EBID20%

CAPEX

9%

OPEX$403,777,000

71%

Support and Overhead

13%

IT20%

Customer Mgmt16%Marketing / Prod.

Dev.7%

Sales17%

Network$109,019,790

27%

Civi l infrastructure15%

RAN16%

NW overhead

10%

NW Mgmt

6%VAS17%

Core

15%

TRM$22,894,156

21%

HOW iNOP WORKS?

Traditional engineering vs. iNOP optimization

Traditional

Engineering Optimization

with iNOP

Optimization on link level

Technical network parameters are

affected

Only minor topology changes

Best technical solution for Each

link

Limitations to handle complex

network

Optimization on network level

Best network based on technical &

financial targets set by the

operator

Even major changes in

topology are possible

No limits in complexity

TRM

Network

Daily

Challenges

Planning new Links

Increased

Bandwidth

Needs

Cost

Pressure

Optimized

Topology

How iNOP optimizes the network?

Technical and financial network data is extracted

from network

Millions of variations are analyzed by advanced

mathematical algorithms

Network is translated into a mathematical problem

Best solution is selected by iNOP based on pre-defined

KPIs

Mathematical solution is translated back to an

executable network plan

1 2 3

4 5

Typical iNOP project results

• Simplified network topology

• Increased link capacity

• Less overloaded HUB sites

• Higher network availability

• Lower OPEX

• Lower cost / Mbit

• Increased spectrum efficiency

• Optimized capital expenditures

iNOP deliverables

Network Status before and after iNOP Optimization

TCO Status before and after iNOP Optimization

Recommendations and detailed comparison

of original and new network Before & After

Comparison

Optimized Network Characteristics

ROI, CAPEX Needs & KPI Fulfillment Reports

Detailed figures of potential CAPEX & OPEX

Savings

iNOP Optimization plan and program based

on customer’s targets and needs

Ready to Execute implementation program

iNOP Final Report samples

iNOP optimization project

Customer’s

demand arise

for NW

Optimization

Extracting data

from

Customer's

systems

Data

preparation

and cleaning

Setting

optimization

targets

Running iNOP

Iteratively

evaluation and

refining the

plan

Implementatio

n of network

plan

1 to 2 weeks 2 to 4 weeks 1 day 0.5 to 6 hours 2 to4 weeks

Iteration if needed

Typical iNOP Optimization Project

iNOP project duration 5-10 weeks

iNOP input data requirementsTechnical data

• Site and network information

• LoS matrix or map data

• Technology, capacity requirements

• Spectrum availability and preference

• Restrictions, redundancy requirements

Financial data

• Equipment and implementation costs

• Frequency fee

• O&M costs

• Vendor support fee

• Rental fees etc.

iNOP project examples

Case study 1 – Tier1 EU based mobile operator

Client

Background

• 20+ years operating fixed and multi-technology wireless networks

• Core network – Fiber; Last mile – P2P Microwave

• # microwave hops: Total 4000 : For pilot: 400 urban / 350 rural

Pain

• Organically grown and increasingly complex network

• Leading to excessive frequency fees to National Infocommunications Authority

• EBIDTA pressure from shareholders

Client Goals

• Fast and easy to implement OPEX reductions

• Frequency fee target reduction of 20%

• Network optimization plan for long term

Findings

• Microwave hops – reduction of 23% possible

• Frequency fee – reduction of 40% possible

• Capacity / hop – increase of 28% possible

• Pilot Study - ROI of 440% within 3 months

Original ChangeExtrapolated to entire

network

Number of microwave hops 779 516 -33 % -23 %

Frequency fee$35,000

USD / per month

$7,200

USD / per month79.5 % 39.8 %

Average capacity per hop176 Mbps

223 Mbps

338 Mbps

277 MbpsAvg. 54 % 27.4 %

Average length of connections (urban)

Average length of connections (rural)

3,56 km

7,75 km

2,1 km

6,5 km

41 %

16 %Not relevant

Case study 1 - figures

Case study 2 – Tier2 EU based public operator

Client

Background

• Fiber optic and multi-technology wireless networks

• Core TRM network – Fiber and P2P Microwave; Last mile – P2P Microwave

• # microwave hops: Total 1500 : For pilot: 253 rural

Pain

• Network expansion bottleneck, cannot meet market demand

• How to spend CAPEX, tower infra/technology change/re-build of the network?

• EBIDTA and Time to Market pressure

Client Goals

• Frequency fee target reduction of 15%

• HOP minimization and freeing up tower infrastructure/antenna space

• Network optimization plan for short/mid/long term network development

Findings

• Microwave hops – reduction of 8% possible

• Frequency fee – reduction of 33% possible


• Pilot Study - ROI of 440% within 3 months

Original ChangeExtrapolated to entire

network

Number of microwave hops 253 231 8,7 % 6,4%

Frequency fee $109,000 $73,000 33 % 24,3%

Average capacity per hop (rural) 73 Mbps 148 Mbps 50,7 % 42.5 %

Average length of connections (rural) 14,6 km 13,2 km 10 % N/A


Case study 3 – Tier1 MNO in Middle-East

Client

Background



• # microwave hops: Total >11000 : For pilot: 244 dense urban

Pain

• Network expansion capacity bottleneck, cannot meet market demand

• Overloaded FO HUB sites

• EBIDTA and Time to Market pressure

Client Goals

• Provide required transmission capacity on all BS sites

• Have future proof transmission network for later (4.5G) expansion.

• Relative OPEX savings with low additional investment

Findings


• Relative OPEX reduction (cost/Mbps) – 51% is possible

• HUB overload reduction – on most critical HUBs 25% reduction is possible

Original Change

Number of microwave hops 244 244 0 %

Relative OPEX (cost/Mbps) 100% 59% -41%

Average capacity per hop 152 Mbps 399 Mbps 262 %

Overloaded HUB sites 7 2 -72%


Case study 4 – Tier1 MNO in Europe

Client

Background



• # microwave hops: Total >20000 : For pilot: 407 urban and hilly rural

Pain

• Network expansion to 4.5G has capacity bottlenecks

• EBIDTA pressure

• Complicated network structure, long chains

Client Goals

• Provide required capacity on all BS sites for 4.5G expansion.

• Simplify network topology

• Relative OPEX savings ($/Mbps) with low additional investment

Findings

• Capacity / link –35% increase is possible

• Relative OPEX reduction ($/Mbps) – 16% is possible

• Simplified network– 5% less links, 19% shorter hops

Original Change

Number of microwave hops 407 387 -5 %

Relative OPEX (cost/Mbps) 100% 84% -16%

Average capacity per hop 268 Mbps 363 Mbps 35%

BS connected to FO HUB in 1 or 2 HOPS 54% 80% 48%


TAREC-IN AS, Authorized PartnerMobile: + 47 905 12 456Email: [email protected]: www.tarec-in.com

Thank you

Authorized Partner

mailto:[email protected]

http://www.tarec-in.com/

Inop presentation dec sgb 2017

Technology

Transcript of Inop presentation dec sgb 2017