ActixOne Introduction

8/13/2019 ActixOne Introduction

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Introducing Actix

2013


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Our business

Actix is a leading provider of mobile

analytics software that delivers

actionable intelligence to improve

customer experience and optimize the

Radio Access Network

25 of thetop 30Mobile operators

350Operator customers


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Our Vision

We believe that analysis of the customers experience in the

RAN will become the key driver for:

Optimization and SON

Het Net investment planning

Customer Experience Management

Solutions to monetize mobile data C-level insights and decision making


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About us

Founded in 1991, originally focused on RAN Analytics for

assessment of pre-launch quality

More than 350 Operators are Actix customers 25 of the top 30 operators worldwide

Key Offices in UK, Germany, Kuala Lumpur and China

250 people globally

Primary revenue generator is ActixOne, a RAN Analytics and

Optimization platform installed at 50 sites globally


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Over 50 ActixOne deployments

Our global footprint
http://www.orange.com/default.asp?UID=&UAT=


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Our focus on the Radio Access Network

Most costly part of the network infrastructure

$50bn in RAN CAPEX 2013 (50% of all CAPEX)

The RAN has the biggest impact on customer experience

Causes 80% of customer experience problems

Data throughputs can be 50% lower indoors

Provides business critical insights

5% of locations carry over 50% of all traffic

15% of locations cause 85% of problems

iPhones consume 3x more data than Blackberries


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Our capabilities

ActixOne

Advanced visualization: dashboards, maps & reports

Data

Sources

RAN configuration

RNC traces

Drive & walk test

Network element

Performance

Social, customer

complaints, ad-hoc

RAN

Analytics

Geo-location

Customer experience

Radio network

Competitive

Rules based

Optimization2G, 3G & LTE

Customer Experience

Network Quality

Logical parameters

Physical parameters

Small cells

SON2G,3G & LTE

ANR

CCO

MLB

ESM

Customer

Experience

Analytics

Acceptance &

BenchmarkingOptimization SON


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Proven operator impact: Customer

experience

Actix enables operators to .by

Improve customer retention

Geo-locating subscribes to build accurate

pictures of customer experience andcompetitive threats

Satisfy key corporate customersEnabling operators to demonstrate superior

mobile performance at corporate HQs

Streamline customer careCutting by 80% the time needed to diagnose

customer experience issues in the RAN

Target new service rolloutsIdentifying where new devices and key

customer segments are active


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Proven operator impact: Network

rollouts

Actix enables operators to .by

Ensure LTE quality at launch

Delivering industry best practice

measurement of LTE performance captured

from 100 customer deployments

Manage network equipment providers

Providing a scalable LTE rollout acceptance

process that allows operators to hold vendors

to account

Target new network capacity

Geo-locating subscribers to accurately

quantify service demand to target LTE andsmall cells.


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Manage your

customers experience,

not just your mobile

network

Customer Experience

The

Network

Places

PeoplePhones


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Mobile operators face a challenging environment

Saturated Markets Smartphone Explosion

Customer experience is a key

operator battleground

Reduced customer loyalty and

increased acquisition costs

Customer retention is as important

as acquisition

Huge growth in network traffic,

changes in usage patterns

Increased network cost and

complexity

Assuring customer experience is

getting more difficult


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Network performance isnt customer experience

Network KPIs arent segmented

by people, places and phones

Customer experience for high

value subscribers is lost in the

noise

Performance at indoor locations

like corporate HQs is hidden

As a result operator cant:

Focus on improving QOE for top20% of customers

Target limited network capacity

at the right people

A

BC

D

Cell DCR

A 1.5%

B 1.8%

C 1.6%

D 1.4%

Corporate HQ iPhone 4s

8% DCR 4% DCR


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Network demand isnt evenly distributed

Train station Single user

Corporate HQ

Tourist spot

Network capacity KPIs focus on

network elements

Data demand is driven by

people, places and phones

As a result operators cant select

the right capacity solution

Macro capacity

Wi-Fi Offload

Femto

DAS


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What is the signal strength for

roamers using data cards at

airports?

Where does poordata performance

result in VIP

customer churn?

What is the iPhonedropped call rate

inside key corporate

HQs?

The network should answer business questions

The

Network

Places

PeoplePhones


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Real customer

experience

Business

correlation

Actionable

Analysis

RAN customer experience insight means

Use real subscriber

measurements to

capture the actual

customer experience

Combine with business

data to understand the

true impact of RAN

performance

Use powerful analytics

to drive decisions on

how to improve

customer experience


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Architecture for customer experience analyticsCall

Measurement

Data

Call Trace

Call Trace

Call Trace

LTE

Call Trace

ActixOne

Segment CallsHandset, customer,

Generate KPIsFailures, quality,

Geo-locateRaw, mesh, area,

Customer Experience Visualization

Action Customer Experience

Business

Data

CustomerAccounts

Churn

Records

Customer

Complaints

Remain in same GUI


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Where do I have poor

network quality as

measured by call trace?

Where are my high value

subscribers?

Where do I have high

numbers of deactivations?

Where I need to focus to

reduce high value

subscriber churn?

Customer experience analytics engine

ActixOne Customer Experience

Analytics Engine enables

customer experience data to

be quickly combined and

filtered

Call trace data can be

analyzed to identify problem

areas and hotspots

Call trace data can be

combined with business data

for geographic correlation


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POC Scope

Huawei PCHR data

Majority from 23rd May

From 6pm to 10pm

1.6 Million ConnectionAttempts on 23rd May


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Peak Demand: Colombo Main Street

Highest demand in Colombo is

around Main Street.

Here we see overall excellent

customer experience with very low

drop rates.


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IPHONE4 CUSTOMEREXPERIENCE


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Regional iPhone4 Usage

Thimbirigasyaya is the hotspot for

iPhone4 use, constituting 10% of

overall connections in the network.

We can also see 2/3 of the usage is

indoors, which will lead us to indoor

planning analysis later.

We can also trend the usage over

time using both hourly and daily

Customer Experience stats.


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iPhone4: Customer Experience Use Case

The high iPhone use in Main Street has

few corresponding drops.We do see hotspots of poor iPhone4

experience near Wellawatta and

Jawatta

iPhone4 Connections iPhone4 Drops


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Indoor iPhone Quality Issues

EcNo distribution plot at indoor

locations shows areas in Wellawatta

where the quality of service could be

improved further.


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Pilot Pollution Contributes to Poor Quality

Pilot Pollution Analysis showed that

many of the locations where EcNo were

previously seen as weak also had pilot

polluted bins.


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Dehiwala North A is listed as the most polluter,

and appears to be overshooting.

The site configuration should be validated to check

the downtilt.

Investigate Down-tilt to Resolve Pollution


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IN BUILDING/HET-NETPLANNING


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Indoor connection attempts for iPhone4 Outdoor connection attempts for iPhone4

Not surprisingly, it was observed that there was more usage in indoor locations

than outdoor for iPhone4s.

iPhone4: In Building/Het-Net Planning Use Case


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To understand the impact of this observation, the numbers of dropped

connections due to poor RF conditions were plotted. It was found that the

same area was affected by this.

Poor Indoor Coverage Leading to High Drops


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Zooming into the specific area, the Unity Plaza was the area with high number

of indoor dropped connections due to poor RF conditions.

Unity Plaza: Hotspot of Indoor Poor RF Drops

This issue needs to be addressed,

especially since the demand is quite

strong, shown by the high number of

indoor High Speed (HS) connection

attempts


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Identify Responsible Network Elements

Customer Experience Data aggregated to

the Sector Level quickly identify the

worst offenders.

This sector has a high proportion of drops

due to Poor RF Coverage


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Event Diagnostics &

Drilldown

Event filtering, automated diagnostics

and Layer3 drilldown allow engineers to

validate conclusions


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It is observed that the Unity Plaza only has an outdoor site but not an Inbuilding

system (the next door Majestic City has an Inbuilding system). Therefore this

building is a strong candidate for a new Inbuilding site.

Conclusions


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INTERNATIONAL ROAMEREXPERIENCE


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Hotspot of roamers was found along Galle Road

Correlates with

5-Star Hotels

International Roamer Hotspots


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The same hotspot was also recording a number of connection drops for roamers.

International Roamer Drops


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Correlation with Drop Hotspot

The dropped calls locations are identified,

mostly around site 53085 (the Holiday Inn

sectors)

Note: These are drops not just for

international roamers, but for all users

The coverage by the best SC confirms that

the best servers in this area are the Holiday

Inn sectors

(SC 70, 71 and 72).


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Identify Contributing Sector

Colouring the sectors by the

Customer Experience statistics

aggregated to sector level reveals

those contributing the most drops

One customer had 4 drops

in the time period.


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VIRTUAL DRIVE SURVEYUSE CASE


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Filter Customer Experience Data by Highways

High concentration of dropped calls were

seen in the highway stretch near

Rajagiriya.

As this is a highway we investigated RF

related Handover issues, but far less were

reported.


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Investigating Mesh Statistics

Focusing on the worst affected mesh areas, it was observed that the mainreason for dropped call was system released. This indicates a higher level issue

(where inter-RNC handover is a possible cause) rather than RF-related issues.


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Investigating Network Configuration

Coloring the sectors by RNC quickly showed

the drop hotspot at an RNC boarder. (No LAC

data was available in the POC data)


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Possible Inter RNC Issue

Looking at individual dropped calls, the possible inter-RNC handover issue can

again be observed the most common dropped calls scenario occurred when the

Active Set contains two cells from different RNCs. In most cases,

Sri_Japura_Naita_C was the best server, the other server being the

Koswatta_North cells.


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Possible Missing Neighbour

Viewing the configuration suggests Sri_Japura_NAITA_C was also having

missing neighbours with the Rajagiriya_East cells. However the ActixOne

Neighbour Planning capability shows no shared measurements.

In fact the site is off-air.


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THANK YOU

ActixOne Introduction

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