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Liberalisation and regulation in the
telecommunication sector:
Theory and empirical evidence
Week 5
Universal Service Obligation
Overview of presentation
History of USO.
Which Services.
How is Supported.
What is the Cost of providing USO?
Non profitable areas, users, booths.
The next genaration services and USO.
What next?
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History
USO and Competition
The first use of the term Universal
Service:
‘One system, one policy, universal
service’ (Theodore Vail, President, AT&T)
Universal Access
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Which services?
Basic POTS
Basic Telephony with standard quality
Free access to emergencies
Catalog services
Card and coin phones
Operator assistance
Reasonable prices
One price list for the entire country
Soft disconnection
Special prices for low usage users
Services for special groups
Special devices for such groups
Special Telephone booths
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How is USO supported?
Pay or Play
Balance between extended and basic
services
Information Society throughout the
country vs. high cost/price
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Basic USO Properties
Dynamic concept changing as services
extend
Indexes needed for the level of services
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USO Cost
USO Cost = Cost of services – Non
financial benefits (advertisement, brand
name etc.)
Cost of services = Financial benefits –
Long run avoidable cost
Non financial benefits
Brand name recognition, reputation
Access to usage data and customers habits
Customer cycle (a non profitable turns to profitable)
Economies of scale
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Methodology for recognition of non
profitable areas
Classes/Zones of areas based on density
Modeling of a typical customer access line for
each area based on:
Mean length of the local loop (“Last mile”)
Type of cables, technologies used
Demographical data
Equipment used for different types of landscape
and density
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Methodology for recognition of non
profitable areas
Network usage cost for each class
Financial benefits for each area for:
Monthly rental
Network usage
Net cost calculation for each class
Adjustment for non financial benefits
Non profitable areas recognition
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Methodology for recognition of non
profitable users
No data available to model non
profitable users in a profitable area.
Calculation based on a rule of thumb
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Non profitable telephone booths
Similar methodology with the non profitable
areas
Data needed:
Investment cost
Usage statistics for the telephone booths
Operating cost
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IP traffic – market structure –
network provisioning
IP traffic and multiplexing. Gain as the
number of users/customers increase.
Multiplexing and the structure of the
market
Vertical Market.
Small number of big ISPs.
Provisioning of services in small cities is
unprofitable
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Market size, need for aggregation
On – off 1% duty time (max = 100 x average)
No Buffering or 100ms buffering
Sources 100 – peak 8,4Mbps – utilization 12%
Sources 100 – peak 4,4Mbps – utilization 23%
Sources 1000 – peak 30Mbs – utilization 33%
Sources 1000 – peak 17Mbs – utilization 59%
Sources 10000 – peak 170Mbps – utilization 59%
Sources 10000 – peak 120Mbps – utilization 83%
Effective provsioning > 5000 customers (20% online)
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ISPs Market today
Big number of ISPs
Provisioning to isolated areas, small cities.
Dial-up users => max 56kbps
On – off 30% duty time (max = 3,3 x average)
Sources 700 – peal 8,7Mbps – utilization 80%
!!Provisioning is profitable for a small number
of customers!!
Income for the ISPs from the regulatory
framework.
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Introducing xDSL
Access bottleneck removed. The customer – user
can have an average of 50kbps with 1Mbps peak
(1/20)
New customes. Allways-on, p2p.
How does p2p traffic look like?
Q1 2002 51% of the abilene traffic + 18% unidentified
of a total of 157,6Tbytes/week
60% for the NRNs
Today (2003) 13,82% p2p + 44% unidentified of a total
of 271Tbytes/week (new apps, hide p2p apps)
P2P Signaling traffic is NOT Self Similar (good news)
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xDSL – Market Structure
2000 concurrent xDSL users (~10000
customers) for effective provisioning!!!!
Is it possible to provide services in small
communities?
Vertical market.
Regulation is needed!!! Where is the
Interconnection of xDSL Access with the
ISPs taking place?
Cost of national core networks is critical for
competition.
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What’s next?
Need to understand the traffic
characteristics of p2p networks (not only
signalling but file transfers too).
A model to calculate the number of
customers for effective provisioning.
Scenarios for the interconnection points,
cost of core network, regulation initiatives.
Municipality nets.
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