session 8a, 11 june 2008 ict-mobilesummit 2008 copyright 2008 e3 revenue sharing models for dynamic...
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Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Revenue sharing models for dynamic telecommunications services using a Cognitive Pilot Channel
Simon Delaere & Pieter Ballon
IBBT-SMIT, Vrije Universiteit Brussel
Belgium
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Motivation, problem area
• Cognitive Pilot Channel: promising concept to enable DSA, increase spectrum flexibility and efficiency
• Business perspective: different ways to set up CPC different business models with different revenue sharing agreements
• This paper: conceptual, exploratory analysis of CPC revenue sharing models– Four possible ways of deployment– Nine possible revenue sharing agreements– Exploratory scoring on four crucial variables– Four revenue sharing options retained
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Cognitive Pilot Channel concept
Operator 1UMTS
?
2 Ghz
Operator 2WiFi2.5 Ghz
CPC
Operator 1WiMAX2 Ghz
Operator 3WiFi2.5 Ghz
O1-GSM-1500O2-WiMAX-2000O3-WiFi-2500
Connect CPC 450 Mhz
O1-GSM-1500
O2-WiMAX-2000
O3-WiFi-2500
Connect O3 WiFi 2.5 Ghz
Operator 1GSM1800 Mhz
Operator 1GSM1800 Mhz
Operator 1GSM1800 Mhz
Operator 1GSM1500 Mhz
1
2
3
4
FSM may invoke a particular information deficit E2RII/E3 proposes Cognitive Pilot Channel as a solution
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Research approach, Methodology
Business Model MatrixCrucial elements of any business modelControl and Value parametersViable business models present a strategic fit between control and value
parametersAllows for simulation & business analysis of different deployment scenarios
Ballon, P. (2007). Business Modeling: the reconfiguration of control and value, Info, vol. 9, n° 5, pp. 59-67
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Results of initial analysis
User 1 Device
Operator 1 CPC Operator 2 CPC
User 2 Device
RAT 1 RAT 2 RAT 3 RAT 4
I. Operator-based system
RAT 1 RAT 2 RAT 3 RAT 4
II. Intermediary-based system
User 1 Device
Reg./Interm. CPC
User 2 Device
III. Hierarchical system
Operator 1 CPC Operator 2 CPC
RAT 1 RAT 2 RAT 3 RAT 4
Intermediary 2 CPC
User 1 Device
Reg./Interm. CPC
User 2 Device
Intermediary 2 CPC
Table 1: Overview of CPC domains of analysis
domain of analysis domain aspects operator intermediary hierarchical
1. control value network control high low medium
customer control high low medium
2. cost and revenue structure cost distribution centralised centralised both
revenue distribution concentrated both both
3. user value product positioning complement substitute both
intended value type intimacy mix mix
Delaere, S. & Ballon, P. (2007). The business model impact of flexible spectrum management and cognitive networks. Info, Vol. 9, N° 5, pp. 57-69
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Refined typology for revenue sharing analysis
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Definition of revenue sharing models
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
• Balance of control versus revenue, in casu– Alignment of gateway (CPC) and core assets (RATs) ownership
• Assumption: for revenues to be fairly distributed, there should be alignment between gateway and core assets ownership
• Assumption: independent CPC operators gaining revenue not likely to be supported– Alignment of value production and core asset (RAT) ownership
• Assumption: primary contribution to value proposition should be aligned with ownership of underlying core assets
• Assumption: asset owners will not support gateways taking up customer ownership and value guarantor roles without owning the RATs
• User value proposition of Flexible Spectrum constellation, in casu– Billing complexity
• Assumption: customer will not accept double billing relationship– Supply diversity
• Assumption: customer prefers choice between multiple operators• Assumption: CPC models with a lock-in to a specific operator less likely to be
accepted
Parameters for analysis
Session 8a, 11 June 2008 ICT-MobileSummit 2008 Copyright 2008 E3
Conclusions and caveats
Revenue sharing models analysis• Pure association models feasible (I and III)
• Hierarchical and intermediary models with RAT CO feasible (VI and IX)
• CPC = thin intermediary, possibly run by consortium or regulator
• Costs borne by operators, justified by cost savings for underlying RATs and new services
• Mixed CO and CPC CO, multiple independent CPC scenarios less likely
General conclusions• Limited possibility for standalone CPC
• Primary aims: reduce harmonization and implementation complexity, gain stakeholder support
• Little opportunity for competitive, cross-operator CPC market
• More chances for association or consortium platforms
• RATs remain core asset core source of revenue
Caveats• Not all variables checked• Scored in explorative way (limited validation)• Positive scores do not guarantee viability