advanced cellular design and automatic optimisation in the small cell era
TRANSCRIPT
© 2013 AIRCOM International Ltd
Future of Telco Industry: Advanced Cellular Design and Automatic Optimisation in the Small Cell Era
Stephen BowkerChief Technology Office (CTO)[email protected]
2 © 2013 AIRCOM International Ltd
AIRCOM is the largest independent provider of network planning, optimisation and OSS management software, and consultancy services to
mobile networks.
17 years providing wireless
expertise
14 Officesproviding global support
#1 in wireless planning tools and #2 in mobile
performance management*
Products deployed
in 159 countries
Independent support for all Vendors
Symena acquired in 2012
Unique mix of
Product and
Services
Investing 20% of revenue into R&D
Over 850 customers
including over 150 LTE customers
950 staff and400 associates
Top 20 Operators depend
on AIRCOM
* Analysys Mason, 2013
3 © 2013 AIRCOM International Ltd
Automatic Cell Planning & Optimisation
ProblemCoverage/capacity
holes
Traffic & revenueWhat & who to cover
Backhaul accessCost base for Small
Cells
White spotsHow to cover them in the most cost efficient
manner?
ARPU mapTraffic
expectation, ARPU or any other
valuation of income
Backhaul gridMap (vector grid) for
backhaul options and COST, e.g. VDSL
8 © 2013 AIRCOM International Ltd
PtP PtMP LOS PtMP NLOS Fibre
Backhaul evaluated as basis for selection
9 © 2013 AIRCOM International Ltd
PtP PtMP LOS PtMP NLOS Fibre
Small Cell sites selected
Site costs vs. capacity drive selection
10 © 2013 AIRCOM International Ltd
PtP PtMP LOS PtMP NLOS Fibre
Combined coverage of new and existing cells
11 © 2013 AIRCOM International Ltd
Improved Operational Efficiency with SONIndependent, Multi-vendor, Multi-technology, Centralised Self Organising Network
I-VIEW SON
PM, CM & site data
Root causeanalysis
Recommend changes
Validate Implement
Backend Processing
Use Cases Source
Operators have the choice to evaluate
results or automatically apply to N/W
MultiRAT
Multivendor
Highly scalable automated performance
and configuration management
Advanced Algorithms are executed co-
ordinated and ranked
Open & closed loop
12 © 2013 AIRCOM International Ltd
SON Case study: European Operator
aa
a
90% time saving +30% performance
Sample area based on 2x RNC cluster of
cells
Top 100 Issue cells found automatically
Top 15% cells fixed
13 © 2013 AIRCOM International Ltd
FUTURE: Using Self-Organising Networks (SON) to automate and predict issues, improving operational efficiency and ensuring optimal customer
experience
End-to-end SON is a key enabler
• VIP service provisioning
• Service assurance
• Customer Experience Management
• Data monetisation
Next generation OSS / BSS
Customer Experience
Real-time network
data
Customers
Real-time network
behaviour
Auto
mati
c p
red
icti
ve
Auto
mati
c r
eal-
tim
eM
anual
react
ive
Network KPI centric User KPI centricEnd-to-end customer
experience centric
Traditional optimisatio
n
Intelligent operation efficiency