Upload
frankjoh
View
36
Download
3
Embed Size (px)
Citation preview
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
ed
te
leco
mm
un
icat
ion
✔ High Level Network design✔ Consultancy✔ FO network design✔ Expert pool
✔ Optical hub site optimization
Product and service portfolio
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%
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
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.
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
• Capacity / hop – increase of 50% 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 $73,000 33 % 24,3%
Average capacity per hop (rural) 73 Mbps 148 Mbps 50,7 % 42.5 %
Average length of connections (rural) 14,6 km 13,2 km 10 % N/A
Case study 2 - figures
Case study 3 – Tier1 MNO in Middle-East
Client
Background
• Fiber optic and multi-technology wireless networks
• Core TRM network – Fiber and P2P Microwave; Last mile – P2P Microwave
• # microwave hops: Total >11000 : For pilot: 244 dense urban
Pain
• Network expansion capacity bottleneck, cannot meet market demand
• Overloaded FO HUB sites
• EBIDTA and Time to Market pressure
Client Goals
• Provide required transmission capacity on all BS sites
• Have future proof transmission network for later (4.5G) expansion.
• Relative OPEX savings with low additional investment
Findings
• Capacity / hop – increase of 260% possible
• Relative OPEX reduction (cost/Mbps) – 51% is possible
• HUB overload reduction – on most critical HUBs 25% reduction is possible
Original Change
Number of microwave hops 244 244 0 %
Relative OPEX (cost/Mbps) 100% 59% -41%
Average capacity per hop 152 Mbps 399 Mbps 262 %
Overloaded HUB sites 7 2 -72%
Case study 3 - figures
Case study 4 – Tier1 MNO in Europe
Client
Background
• Fiber optic and multi-technology wireless networks
• Core TRM network – Fiber and P2P Microwave; Last mile – P2P Microwave
• # microwave hops: Total >20000 : For pilot: 407 urban and hilly rural
Pain
• Network expansion to 4.5G has capacity bottlenecks
• EBIDTA pressure
• Complicated network structure, long chains
Client Goals
• Provide required capacity on all BS sites for 4.5G expansion.
• Simplify network topology
• Relative OPEX savings ($/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%
Case study 4 - figures
TAREC-IN AS, Authorized PartnerMobile: + 47 905 12 456Email: [email protected]: www.tarec-in.com
Thank you
Authorized Partner