A Business Case Study for a Cognitive Radio System based on a Wireless Sensor Network Pål Grønsund, Ole Grøndalen, Markku Lähteenoja CRSM 2010, IBBT-MIT Brussels, November 22nd, 2010 Spectru m owner 1 Spectru m owner 2 Spectru m owner N Joint venture system operator
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A Business Case Study for a Cognitive Radio System based on a Wireless Sensor NetworkPål Grønsund, Ole Grøndalen, Markku Lähteenoja
CRSM 2010, IBBT-MIT Brussels, November 22nd, 2010
Spectrum owner 1
Spectrum owner 2
Spectrum owner N
Joint venturesystem operator
SEVENTH FRAMEWORK PROGRAMME
THEME ICT-2007-1.1 The Network of the Future
Project 216076
The SENDORA concept can be described as a "Sensor Network aided Cognitive Radio" technology
Primary Network
Cognitive Network
Wireless Sensor Network
queries on spectrum status
reports on spectrum status
The SENDORA system architecture has 3 main parts: sensor network, communication network and fusion centre
The remainder of this presentation will focus on an example of a SENDORA business case for a “Joint Venture”
Cash Flow
Customers
Revenue
OPEX
Cost
CAPEX
Sensors and fusion centre
Cognitive functionalities
New sites
Customer acquisition
Operation & maintenance
Site rental
Overview of the business case for a “Joint Venture”
Introduction to Cash Flow analysis and business case assumptions
Cash Flow results and sensitivity analysis
A set of spectrum owners establishes a “Joint Venture” that gets the right to use its owners unused spectrum
Spectrum owner 1
Spectrum owner 2
Spectrum owner N
Joint ventureSENDORA system operator
At least one of the owners is an operator having a cellular infrastructure in the area
Easy to implement from a regulatory point of view since only the joint venture owners’ own spectrum are used
Rationale for the “Joint Venture” scenario
The joint venture can be composed in a way that makes it very probable that:
• at least some unused spectrum is available at all times
• little new cognitive radio access infrastructure is required
The scenario is an example of spectrum sharing, which can be seen as a natural extension of infrastructure sharing
• The joint venture is a good way to share the expenses and incomes between the companies
In the business case scenario, the joint venture will
• Deploy the system in a hypothetical European city:
o 1 million inhabitants
o covering an area of 200 km2,
downtown area is 50 km2
• Study period: 2015 – 2020
NOTE!SENDORA is an innovative concept and much research and development remains before commercial realizations will appear
=> the input data for the business case is uncertain
=> the results give indications, not definite answers or strong conclusions
Cash Flow
Customers
Revenue
OPEX
Cost
CAPEX
Sensors and fusion centre
Cognitive functionalities
New sites
Customer acquisition
Operation & maintenance
Site rental
Traditional cash flow analysis is used to get an indication of the profitability, enhanced with sensitivity analysis
Discount rate: 10%
Revenue assumptions
• ARPU (Average revenue per user) per month for nomadic broadband user:
o 20 € (2015) decreasing to 18,1 € (2020)
• Number of nomadic broadband subscribers for the joint venture
Sensitivity analysis show that sensor OPEX and share of new sites are critical parameters
This business case is probably one of the best cases for SENDORA, because it is based on the “joint venture” idea
• Free access to frequency resources from the mother companies
• Good possibilities for re-using existing infrastructure
• Exploit detailed knowledge of the primary systems
The accumulated cash flow is quite similar to many other infrastructure projects in telecommunication
• The joint venture must be patient with financial strength to wait a longer period for the ROI. But there is a potential for a long term profitability.
In summary and conclusion
The main value of this business case calculation is to identify the critical aspects for SENDORA profitability, so that the technical R&D work can focus on them. Examples of those are:
• Sensor network planning (density of sensors and coordination between fixed and integrated sensors)
• Sensor design to minimize CAPEX and OPEX
• Solutions that allow re-use of existing infrastructure and require few new sites