EVALUATING BUSINESS SCENARIOS FOR USE OF GEO-LOCATION DATABASE IN TV WHITE SPACES FROM THE OPERATOR POINT OF VIEW 7TH COST-TERRA MEETING

Transcription

1 FACULTY OF INFORMATICS EVALUATING BUSINESS SCENARIOS FOR USE OF GEO-LOCATION DATABASE IN TV WHITE SPACES FROM THE OPERATOR POINT OF VIEW 7TH COST-TERRA MEETING 8th April 203, Thessaloniki

2 OUTLINE FOCUSES OF THE PRESENTATION Key concepts: Dynamic Spectrum Access Information Infrastructure (DSA II); GDB within the context of DSAII; Techno economic modelling for evaluating business scenarios. GDB scenario matrix. Evaluation of Business scenarios for the use of GDB in TVWS from the operator point of view. Research in progress 2

3 DYNAMIC SPECTRUM ACCESS INFORMATION INFRASTRUCTURE Figure. DSA II 3

4 STAKEHOLDERS Directly impacted by DSA II: Operators and services providers: to reach the most positive value through DSA II enabled services; Manufacturers: to benefit from developing new technologies, new infrastructure equipment; Administrators: to gain through logistics management of the physical network. Indirectly impacted: Users: to benefit from the advanced features of DSA. 4

5 RULES AND PRACTICES FOR RADIO SPECTRUM USAGE Standards: Analysis of standards should answer such questions as: which technologies must be standardized? What is the environment of complementary and competing standards? Business Models: Business Models should help better understand how DSA II can be deployed. Regulations: Analysis of the regulation environment should answer such a question as: what are all the relevant rules and how stakeholders could benefit from playing by these rules? 5

6 COGNITIVIO (CR) PARADIGM Radio frequencies a prie-defined set of radio frequency bands and rules for accessing (and using) them. Some initial prime candidates of frequencies where CR paradigm could be considered for deployment: TVWS; MHz and VHF T-DAB band; GHz. DSA/CR System a technology toolbox to allow dynamic access to spectrum by a number of users. 6

7 DYNAMIC SPECTRUM ACCESS INFORMATION INFRASTRUCTURE 7 Figure 2. Relationships between different DSA II elements

8 GDB WITHIN THE CONTEXT OF DSAII Geo-location database (GDB) as enabler of CR is one of major elements of DSA II that becomes essential for ensuring overall efficiency of radio spectrum that is so badly needed for new emerging wireless communication services. it becomes important to analyze economic feasibility of GDB use and access from different points of views within the future DSA II architectures and services: what is the role of GDB in enabling various wireless communication services; how clients/devices of different wireless services will be accessing the same/shared GDB; how GDB business model that would be acceptable/make sense to different stakeholders can be found. 8

9 TECHNO ECONOMIC MODELLING FOR EVALUATING BUSINESS SCENARIOS Market service definition refers to: geographical area; market segments; offered services; service penetration; usage amounts; competition and market shares, churn; pricing model and tariffs; customer acquisition, retention and care. 9 Figure 4. Techno-economic modelling process

10 TECHNO ECONOMIC MODELLING FOR EVALUATING BUSINESS SCENARIOS Technology definition refers to: technical architecture and components; technical performance of components; cost of components; costs of planning, deploying, and operating components. Industry architecture definition refers to: mapping technical components and activities to roles and actors; relationships between roles and actors. 0 Figure 4. Techno-economic modelling process

11 TECHNO ECONOMIC MODELLING FOR EVALUATING BUSINESS SCENARIOS Revenue modelling refers to: direct revenues from own customers; indirect revenues, e.g. interconnection, roaming, advertisements; revenue-sharing between actors. Cost modelling refers to: Investments; operational expenditures; cost allocation to different actors. Figure 4. Techno-economic modelling process

12 TECHNO ECONOMIC MODELLING FOR EVALUATING BUSINESS SCENARIOS Discounted cash flow analysis refers to: net present value; internal rate of return; payback time. And finally sensitivity analysis refers to: NPV sensitivity to changes in variables (e.g. the number of operators); scenarios, e.g. best and worst case; what-if analyses; monte Carlo simulation. 2 Figure 4. Techno-economic modelling process

13 GDB SCENARIO MATRIX MATCHING GDB SCENARIOS WITH APPROPRIATE ONES Unlicensed scenario Competitive market scenario; one to all scenario Restricted market scenario; Market Scenario Hybrid market scenario; Flexible scenario Flexible market scenario. 3 Figure 5. Business scenarios for GDB service deployment

14 GDB SCENARIO MATRIX MATCHING GDB SCENARIOS WITH APPROPRIATE ONES one to all scenario Restricted market scenario; Flexible scenario Flexible market scenario; Unlicensed scenario Competitive market scenario; Market Scenario Hybrid market scenario. Figure 6. Business scenario matrix for GDB service deployment 4

15 GDB SCENARIO MATRIX MATCHING GDB SCENARIOS WITH APPROPRIATE ONES Technical architecture address the question on how future of GDB would look like; refers to the technology that determines differences between existing and final architectures. Industry architecture relates to the scope of the GDB in terms of markets and industries in which it competes as well as to the ways in which roles are combined. Figure 6. Business scenario matrix for GDB service deployment 5

16 EVALUATION OF BUSINESS SCENARIOS SOLUTIONS Two solutions: ) Mobile operators (MO) offers GDB-based mobile services; 2) GDB offers services to end-users utilizing MO s network. 6 Figure 7. Business scenarios for GDB service deployment

17 EVALUATION OF BUSINESS SCENARIOS POSSIBLE SOLUTIONS -3 numbers refers to the need for upgrades of: Extra gateway in MO s network; Base station software upgrade; Base station and antenna system hardware upgrade. Figure 7. Business scenarios for GDB service deployment 7

18 SUMMING-UP Q&A SECTION Presented research framework will allow expanding the GDB business model analysis in the future studies, taking into account the same method for modelling new business models for others groups of established stakeholders of DSA II and then seeing if there can be any common business model derived from the multitude of different models in order to get broader view of impact of CR paradigm to the wireless telecommunication services; The results will lead to a model of cost and revenues in which different GDB architectures are compared from different point of views. 8