AIRCOM World Telecom CTIO Summit 2012 - Keynote

1 © 2012 AIRCOM International Ltd
World Telecom CTIO Summit – Singapore 7 September 2012
‘Not all LTE is Created Equal’ - strategies for success
Stephen Bowker – CTO
stephen.bowker@aircominternational.com

Introduction to AIRCOM International
AIRCOM is a leading independent provider of end-to-end software products and
consulting services designed to plan, manage and optimise mobile networks
 Global market leader in mobile Radio Network Planning, Optimisation and
Performance Management (PM) solutions
 Recognized and Trusted Industry Expert across all major radio and core
technologies including GSM, CDMA, UMTS, WiMAX and LTE
 350+ mobile operator customers in 135+ countries including product and
service deployments with all of the top 20 largest global mobile operators
 Recently (April 2012) acquired advanced optimisation company - Symena
Software Consulting Services
Core Capabilities
 Strategy and Technology Planning
 Network Design and Planning
 Spectrum Re-farming Solutions
 Vendor Management
 Roll-out Management
 Optimisation and Audit Services
 Network operations outsourcing
Core Capabilities
 #1* Radio Planning Tool – AIRCOM ASSET
 Advanced proven scalable OSS software
PM (AIRCOM OPTIMA) and CM (LIVE-PLAN)
 Worlds fastest** and most accurate
optimisation tool (Symena CAPESSOTM)
 Integrated RAN/Backhaul Planning and
Optimisation/Dimensioning capabilities
 Multi-Technology / Multi-Vendor tools,
already Interfacing to all leading equipment
* Based on Analysys Mason “Network planning and optimisation outlook 2012“
** Capesso rated #1 technically in every trial since 2006 (Vendor & Operator)

AIRCOM’s Product Portfolio
Expected Network Performance   Actual Network Performance
 Tune Models / Parameters Configure and Optimise Network 
Radio network design for all
sizes of network including
centralised system with over
300k cells
Microwave and transmission
planning
Backhaul routing and
dimensioning and mobile
network node capacity
dimensioning
Optimisation through all stages
of the network lifecycle
Performance management
including the worlds largest
centralised PM system
Configuration management,
parameter auditing and base-
lining of the planning tool data
Consulting solution to optimise
networks based on
measurement and trace data
Centralised SON optimisation
across multiple technologies
and vendors

Plan and Design
 Design Objectives
 Design Basis
 Model Calibration
 Radio + Backhaul Design
 Measurement test processes
 Business Planning (HSPA+ vs. LTE)
 Migration strategies
 Spectrum Planning
 Infrastructure Sharing
 LTE trials evaluation
LTE Strategy
LTE – Important Strategic Decisions to take

Radio Access Technology Planning
 Inter-Technology Radio Planning requires
tools to support multiple technologies
simultaneously in same project
 Support for Shared Antenna Systems
 Interim Voice Services such as CSFB are
dependent on have 2G/3G coverage co-
incidental with LTE
 Inter-RAT multi-technology features such
as: simulated/live traffic capture,
neighbour planning, PCI planning
 Joint planning of Tracking Areas in LTE
and Location Areas in 2G and 3G
 Automation, including Live update of
configuration parameters from network
keeps planning tools in sync
Voice Calls (CSFB) likely to fail in this
area due to coverage/quality

 Important to dimension and plan on an end-to-end basis from Radio Planning tool (e.g.
AIRCOM ASSET®) across backhaul (e.g. CONNECT®) and the network (e.g. I-VIEW DIMENSION)
 Technology evolution => LTE higher network elements are supported (SAEGW, MME)
 Ability to create the LTE logical interfaces (S1-SAE, S1-MME, X2)
 Realization of the LTE mesh topology (an eNodeB can belong to more than one SAEGW or
MME)
 Inter-technology operation
 Actual and simulated traffic
from different sources (GSM,
UMTS, LTE sites) is created and
carried over
Transmission
Backhaul
Core
Network
Air Interface
Carried Traffic Analysis for LTE (CTA)

Predictions
Drive Test
OSS & trace
OperateDeployPlan
Initial Optimized
Optimized Plan
Optimized Deployment
Optimized Operation
Better, Faster, Simpler

0
20
40
60
80
100
120
0 5 10 15 20 25 30
Average received Es/N0 per receiver branch (dB)
Throughput(Mbps)
QRM-MLD using ASESS
MMSE
QPSK R = 1/2
QPSK R = 2/3
QPSK R = 3/4
16QAM R = 1/2
16QAM R = 2/3
16QAM R = 3/4
16QAM R = 4/5
64QAM R = 2/3
64QAM R = 3/4
64QAM R = 4/5
Multiple carrier
Frequency options
Flexible bandwidth
1.4 – 20MHz
Adaptive modulation
and coding
Multiuser & frequency
scheduling gain
Shared broadband
antennas (2G/3G/LTE)
MIMO
(2x2, 4x2, 4x4,…)
Wide range of new technologies and options
Automatic traffic
sharing for voice/data
HetNet
Multi-layer interaction
LTE Planning and Optimization Complexities

High number of LTE cases need to be analyzed
 f-Band A
 Channel bandwidth
(1,4MHz …20MHz)
 Expected traffic
growth
 Adaptive Modulation
and Coding Schemes
 Channel overhead
 MIMO (2x2, 4x4, …)
 Used antenna technology
(individual antennas)
 Vendor specific settings & thresholds
 Multi RAT deployments
 Etc.
 Different radio networks
sharing same antenna
 Individual antenna tilts
 2G + 3G + LTE
 High complexity
 Traffic Sharing
 Multi RAT Handover
 Sharing equipment
 Service level optimization
 HetNet
 Different traffic maps
 Different traffic growth
 Etc.
Better results, faster and simpler!
Option 1
Option 2
Option N
LTE deployment options Multi RAT

Customer Example USA Tier 1 – HetNet
CDMA 800MHz
EVDO 1900MHz
LTEFDD1900MHz
LTEFDD800MHz
LTEFDD1600MHz
TD-LTE 2500MHz
HetNet, Multi-RAT, frequency bands on single antenna

Traffic Growth Planning
 Mobile data traffic is
expected to grow
aggressively
 How to plan
accordingly?
 What are the resources
available?
 Spectrum
 Technology
 Timeline

Optimise for Traffic Growth (i)
time2012 2013 2014
CDMA 800
Technology
&spectrum
Expectedtotaltrafficdemand
EVDO 1900
LTE 1900
CDMA 800
EVDO 1900
LTE 1900
LTE 800
LTE 1600
CDMA 800
EVDO 1900
LTE 1900
LTE 800
LTE 1600
LTE 2500

Optimise for Traffic Growth (ii)
Traffic handled
by EVDO
Traffic handled
by LTE – band 1
Total data traffic demand
CDMA 800 traffic
Remaining traffic
offload
 LTE band 2, WiFi?

Multiple RAT – Planning and Optimisation

Optimisation incorporating Drive Test and
OSS trace and Geolocation data
Deploy Operate
Drive Test
based data
OSS and
trace data

Planning data from
Planning Tool, e.g.
ASSET, Atoll,
Planet etc…
0
3
6
9
12
15
18
21
24
27
30
33
36
39
42
45
48
0
10
20
30
40
50
60
70
80
90
100
Number of Sites





Better plans
Very fast processing
Cost efficiency
analysis
Implementation plans
Project plans
Best budget use
Complementary


Case N
Case 2
Optimised Plans
validated in Planning
Tool and
Implemented
Case 1
Effective “What if” analysis
Better results, faster and simpler!
Supplemented with
Drive Test data
Efficiently analyze and
compute many cases

Cost Efficient Targeted Optimisation
Note: massive
improvements
with just two
modifications

Planning | Deployment | Operation
Plan
Predictions
Deploy
Drive Test data
Operate
OSS Trace data
Software to optimize planning, deployment and operation

Case Study: Optimisation
with Geolocation trace data
Large improvements by
remote changes
before after

Case Study: Optimisation
with Geolocation trace data
Clear enhancements proven
by measurements
before after

Performance: Visibility, Analytics and Automation
 PM - Live Status/Root-Cause Analysis/Management Reports
 Live-network status and monitor
 Proactive and Interactive Trouble Resolution
 End-to-end with customer centric and service metrics
 Multi-layer analytics (Mobile, Transport, IP, Core)
 Multi-Technology <- Important for LTE
 Vendor Independent and multi-vendor

ENTERPRISE WEB SERVICES (EWS)LIVE PLAN SERVER
LIVE NETWORK CONFIGURATION DATA FROM VENDOR OMC’S
........
VENDOR-1/OMC-1 VENDOR-2/OMC-2 VENDOR-3/OMC-3 VENDOR-N/OMC-N
CLIENTS
INVENTORY SITE DATABASE
ENGINEERING DATA
READ/COMPARE
UPDATE
CREATE
DELETE
FULLY
AUTOMATED
Closing the loop – LIVE-PLANNNG

PMdataharmonization
KPI from different PM counters/vendors
Monitor, Control,
Trigger
Data analysis, Use Cases and Policy Control
Multi-RAT optimization processing
Multivendor
mediation
PM and CM data
CM data transcript
MML, XML or other
3rdparty
solutions
andinput
data
(e.g. geo located trace
data, RF planning
data, etc.)
CMwriteETLengine
Vendor A Vendor CVendor B
Self-Organizing Network (SON) Solution
ptimize

SON in Action – Bringing it together (i)
SON Trial in ASIA driven by
Geolocated Trace Data powered
by SONnovoTM Engine

SON in Action – Bringing it together (ii)
Massive
improvements for
data calls
Significant
enhancements in
top 10 problem
cells

Thank You

AIRCOM World Telecom CTIO Summit 2012 - Keynote

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