how to prepare the network to mbi?
TRANSCRIPT
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How to prepare the network to MBI?
Ronit Nossenson, RNWC
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Agenda
Introduction: the traffic today Bandwidth and application growth
Traffic per day
Statistics
The network upgrade process
Initial planning
Planning partition
On-going updates Traffic demand predictor
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The Traffic Today
Source: Allot Mobile Trends Global Mobile Broadband Traffic Report, H2/2009
Bandwidth and application growth
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TB
Oct- Jan- Apr- Jul- Oct- Jan- Apr- Jul- Oct- Jan- Apr- Jul-
JRA . .
TB
Oct- Jan- Apr- Jul- Oct- Jan- Apr- Jul- Oct- Jan- Apr- Jul-
JRA . .
Live network KPI data
Operators: Europe, APAC, AmericasAverage Y-Y growth over %
Total HSDPA Traffic per Day
Source: Nokia Siemens Networks
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400 MByte/mosAverage Smartphone user on a 3G Network
800 MByte/mosAverage iPhone user in NY and San Francisco
4.7 GigaBytesWatch DVD quality movie on Netflix.com
1.2 GigaBytes/mosListen 30 minutes a day of Pandora
5.8 GigaBytes/mosWatch 30 minutes daily sitcom using Hulu HD
1.2 GigaBytesUpload 5 minute video clip to Facebook 10X
5 GigaBytesSync photos with your camera and Flickr
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Customers Angered as
iPhones Overload AT&TSeptember 2, 2009
Mobile Broadband Laptop and
Netbook Users to Consume 1.3
Exabytes of Video per Month
Worldwide by 2017September 3, 2009
Feds Say Theres Not Enough
Spectrum For Future
Smartphone DemandsSeptember 2, 2009
3G Traffic in Mature Markets to
Increase 20 Fold by End of 2014September 1, 2009
Wireless Service Costs Too Much,and All But the Carriers AgreeAugust 21, 2009
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The network upgrade process
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Network Architecture
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Initial Planning
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Demand node concept
Source: Demand-based Radio Network Planning of Cellular Mobile CommunicationSystems, By K. Tutschku
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Principles of Dimensioning
Number of resources
Per service, per application, specific KPI
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Traffic aggregation Bursty traffic, Self-similar processes
Statistical multiplexing
Ericsson:3-sector, 7.2Mbps > 12 Mbps transport capacity, 14.4 > 20 Mbps
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Planning Partition
Radio planning, transport planning, ATM, SS7,...
No feedback, different modules.
Different departments in the operator organization.
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On-going updates
Sites/Links traffic statistics: Data KPI: delay, min, max, ...
Voice KPI: blocking probability, ...
Internal procedures: usually Excel based
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Problems and Challenges What is the right technology?
What is the required budget to upgrade the network?
How to compare between leasing and owning solutions?
What are the upgrades priorities?
What is the precise impact on the network when the traffic grows? How will heavy users affect the network costs and capacity?
Can we quantify the value of an upgrade before the implementation?
Can we relate between the equipment investment and the Quality of
Experience and the investment refund?
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Traffic Demand Predictor
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Traffic Demand Predictor (TDP) System
Assists the operator to evaluate the network traffic potential Processes information from several data-bases such as users, billing,
and Radius to construct a network model
Captures several time resolutions immediate, short and long
Based on classifying users, devices, applications, services and onlocation estimations (in addition to the conventional traffic parameters)
Using this system, the operator can improve the network readiness fornew demanding services and devices, to evaluate and optimize the
current resource allocations, and etc'.
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Accurate network model
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User classification
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A calculation of the user demand potential
Classification metrics:
Business information
Traffic information
Usage information
Classificationprocess
Demandpotential
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Demand Placement
CDR information (start, end) From GIP, maps: common paths
User location probability histogram
Demand placement according to time scale
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Per Entity/Link Adjustment Probes signalling
ON/OFF process:
ON times distribution
OFF times distribution
Inter-arrival within ON time distribution
Most important for performance: the ON times distribution
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Mobility Models
Probes signalling For each cell: probability to pass through
GIS
Synthetic models
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Thank you for your attention