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Development of the Danish LRAIC model for fixed networks Presentation of the 1st draft model February 2020 This document was prepared by Axon Consulting for the use of the client to whom it is addressed. No part of it may be copied or made


  1. Development of the Danish LRAIC model for fixed networks Presentation of the 1st draft model February 2020 This document was prepared by Axon Consulting for the use of the client to whom it is addressed. No part of it may be copied or made available in any way to third parties without our prior written consent.

  2. This presentation is aimed at achieving a common understanding on the model submitted to consultation to maximise the efficiency and relevance of this regulatory process Procedures to respond to the 1 st public consultation Improved alignment between all parties involved Description of the consultation materials Easier reviewing process for Introduction to the model, its inputs and outputs service providers Presentation of the model’s associated documentation More accurate and relevant feedback Key differences with the current price decision Avoid misunderstandings Q&A session to address stakeholders’ concerns 2 CONFIDENTIAL

  3. Contents 1. Introduction to the Public Consultation 2. Introduction to the model’s structure and architecture 3. Overview of the main inputs of the Excel model 4. Key outcomes of the model 3 CONFIDENTIAL

  4. Contents 1. Introduction to the Public Consultation 2. Introduction to the model’s structure and architecture 3. Overview of the main inputs of the Excel model 4. Key outcomes of the model 4 CONFIDENTIAL

  5. In accordance with the original timetable of the Project, the DBA has launched the 1 st consultation with the industry on 3 February Project timetable as presented in the kick-off meeting held in May 2019 2019 2020 Project Activities and Tasks A M J J A S O N D J F M A M J J A Phase 1. Inception and development of the model's methodology 1.1 Development of the model's methodology 1.2. Public consultation on the model's methodology with the industry Phase 2. Data collection 2.1 Development of the data collection templates 2.2. First data collection process with Service Providers 2.3. (Potential) Second data collection process (equivalent process as for the first one) Phase 3. Development of the 1st draft model to be submitted for consultation Phase 4. Yearly update of the cost model and public consultations 4.1. 1st Consultation with the industry 4.2. 2nd Consultation with the industry Phase Activity led by Axon/DBA Activity with support from stakeholders 1 5 4  The 1 st consultation on the model and its associated documentation has been launched on 3 February, in line with the timings set in the Project’s timetable presented to the stakeholders in May 2019.  The 1 st consultation process has been scheduled for 5 weeks. This means that stakeholders’ feedback is expected by no later than 6 March 2020. 5 CONFIDENTIAL

  6. The fixed LRAIC model submitted to consultation needs to be understood in the light of the MRP published in 23 October  The 1 st draft fixed LRAIC model has been developed following the guidelines stablished in the Model Reference Paper (MRP) published by the DBA in 23 October.  The MRP was already consulted from 1 July to 30 August. This consultation starting on 3 February is therefore solely focused on the draft model and not the MRP. Illustrative excerpt of the MRP Illustrative excerpt of the position statement 6 CONFIDENTIAL

  7. To answer to this 1 st consultation process, stakeholders are invited to use the template included in the consultation document  Service Providers are requested to disclose their position to each of the questions raised, together with their comments and justifications.  DBA kindly requests that stakeholders state their position through the template provided. Illustrative excerpt of the template to comment Position (Agree / Partially Comments and # Category Question Agree / Disagree) justifications Do you agree with the demand considered for the modelled operator? 1 Inputs If you don’t agree, please justify your position and provide supporting information and references. Do you agree with the coverage levels considered for copper, fibre and coax access networks? 2 Inputs If you don’t agree, please justify your position and provide supporting information and references. … … ... 7 CONFIDENTIAL

  8. Some additional indications to the provision of feedback to the 1 st consultation process  All comments will have to be submitted by 6 March 2020. • Each stakeholder has to provide only one filled-in template with its position to the questions raised. • Comments should be as precise and brief as possible, while making sure they are justified. • The comments and answers section of the position statement to be produced at the end of this 1 st consultation round will prioritize comments that are i) significant for the results of the model and ii) have been thoroughly justified.  Meeting 26 February 2020, deadline for prioritized questions 19 February 2020 • A working session on the fixed LRAIC model will be conducted on 26 February 2020. After this session, DBA will circulate its answers to all questions received. • Questions from stakeholders received by DBA by 19 February 2020 will be prioritized at the meeting. To provide you with the best answers (including relevant illustrations, examples etc), we urge you to send in questions before this date. 8 CONFIDENTIAL

  9. Contents 1. Introduction to the Public Consultation 2. Introduction to the model’s structure and architecture 3. Overview of the main inputs of the Excel model 4. Key outcomes of the model 9 CONFIDENTIAL

  10. The implementation of the model has been performed over two different software platforms to fully exploit their advantages R model Excel Model  Powerful tool that allows us to work with high  Network dimensioning and costing algorithms volumes of data: are implemented in the Excel model. >3,5 million homes  The model is fed with inputs from the R • model as well as with other inputs that are >1,4 million roads • only relevant for the Excel model (e.g.  The R model is used for the geographical demand). analysis:  The Excel model is mainly responsible for Location of the network nodes • costing the network and allocating the costs Distance between nodes • to the modelled services. Access network elements •  We expect most of the stakeholders’ review  The results from the R model are seamlessly efforts to be focused on the Excel model. loaded into the main excel model. 10 CONFIDENTIAL

  11. The geographical model implemented in R calculates a set of key dimensioning indicators that are later used in the Excel model Architecture of the R model  The R model architecture is based on three main blocks: Inputs Inputs : Information characterizing the • Nodes Address Route Coverage database database database locations geographical conditions of Denmark (e.g. addresses, routes) as well as TDC’s network Calculations (e.g. nodes locations). 1. Data cleaning Calculations : Algorithms to perform the 2. Location of network nodes • geographical analysis of the networks. 3. Definition of the routes between nodes 4. Calculation of network elements Outputs : Generation of key dimensioning • 5. Definition of the disaggregation levels indicators such as the average distance of the local loop. Results*  The R model can be controlled through a user- Distribution of lines Coverage friendly interface. The end-user does not need to Equipment inventory and Transmission disaggregation characteristics get involved into R programming. Note (*): The outputs of the R model are generated for each combination of geotype, region, regulation and dwelling type 11 CONFIDENTIAL

  12. A complete version of the R Model with a sample dataset has been circulated with stakeholders as part of the 1 st Public Consultation Areas included in the sample version of the R model  While the sample R model shared with the industry includes all algorithms employed, it has been loaded with inputs from only two random areas* in Denmark in order to: Preserve the confidentiality of the data of the • modelled operator. Shorten execution times, as the R model is • computationally intensive.  Stakeholders can analyse the algorithms in this sample R model and assess the reasonability of the results produced for these two sample areas. The complete outcomes of the R model (although with some degree of anonymization) are available in the Excel model. Note (*): Locations of the access nodes included in this area have been randomised as well. 12 CONFIDENTIAL

  13. The outputs from the R model can be easily exported into the Excel model 1. Exporting R results 2. Filling the template 3. Importing to Excel 13 CONFIDENTIAL

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