how to prepare the network to mbi?

7/30/2019 How to prepare the network to MBI?

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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

[email protected]

how to prepare the network to mbi?

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