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[Webinar Capella] Effective Communication Network Development through a Model-Based Systems Approach


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How to use MBSE to deliver effective solutions in the Telecom domain?

Everyone depends on secure and robust communication networks.
Nowadays communication service providers need to adapt more quickly, with increasing network complexity and financial pressure.

It is often necessary to deploy the latest technology to keep up with competitive and capacity demands but, without a systems approach, one still risks user frustration, projects overruns and market delays.

In such an environment, how does one develop communication network solutions that satisfy stakeholders? There is strong evidence that a model-based systems approach effectively manages complexity and reduces risk. The International Council on Systems Engineering (INCOSE) provides a worked example for communication service providers to achieve competitive advantage.

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[Webinar Capella] Effective Communication Network Development through a Model-Based Systems Approach

  1. 1. Effective Communication Network Development through a Model-Based Systems Approach Fabrice Lestideau Thinksystems Pty Ltd John Risson Anacom Pty Ltd with special thanks to Stéphane Lacrampe fromMay 27/28, 2020
  2. 2. Outline Communications Service Providers solve the world’s biggest communication problems. These are complex, transdisciplinary problems. Model-based systems approaches help. We demonstrate how the Arcadia method aids communication network development. It communicates consistent, complete, validated, engineered end-to-end network solutions. Question and Answer 2
  3. 3. 3
  4. 4. Network Development is Complex 4 Communication Service Provider Customer InvestorCompetitor Regulator Threat Infrastructure ProviderVendorLaw Enforcement and Public Safety Value and complexity comes from diverse and changeable interactions between a Communication Service Provider, its stakeholders and its environment
  5. 5. Networks are Complicated 5 Complication arises from the number and variety of network parts and their interfaces • Capacity demands and cost constraints drive network and network management upgrades • Devices are seldom removed from the network as the business case usually concludes, “Sweat the asset” • Point operational issues lead to more tools and functions • Network virtualization, disaggregation, security, 5G, Internet-of-Things, edge computing and artificial intelligence increase component, interface and function counts Network Metric Number Customer devices Billions Network element variants per service provider Hundreds Support systems per service provider Hundreds Network functions Hundreds Business functions Hundreds
  6. 6. Network Development is Transdisciplinary 6 To get the best outcomes, optimize decisions across disciplines. This requires communication across disciplines. Developers • Users • Operators • Network engineers • Software developers • Network and IT architects • Testers • Facility engineers Specialists • Security • Business process • User experience • Data science Managers • Project • Business • Product • Regulatory • Finance
  7. 7. A Music Analogy 7 Music also depends on composition, practice and performance across many disciplines. • There are key concepts common across disciplines • They can express complexity • They are communicated across disciplines in ways that enable reuse, improvement, refinement and very rapid decisions We need key concepts that integrate network disciplines despite complexity
  8. 8. A Systems Approach Integrates Network Disciplines and Copes with Complexity System concepts integrate the network disciplines: • Systems with attributes, state, processes and dynamic behaviour • External interactions between the system and its environment • Internal system elements, with interactions and hierarchic relationships between them • Hierarchy and abstraction cope with network complexity 8 By investing 7% of development budget on a systems approach - much less than typically spent on fixing faults – the average development cost drops by over 20% and likelihood of delivering on time increases by 50%. Honour, E.C., “Systems engineering return on investment”, PhD Thesis, University of South Australia, Jan 2013.
  9. 9. Complete Consistent Models have Multiple Benefits 9 Reduced risk Improved cost estimates Early & on-going simulation & automatic verification Improved systems assurance Fewer errors during integration & testing Improved quality Improved specification & allocation to subsystems Early identification of requirements issues Improved traceability Enhanced system design integrity Consistency within & across projects Increased productivity Improved impact analysis of changes Improved communication across disciplines Reuse for design & technology evolution Automated generation of documentation Changes are made in fewer places Models help to fix problems earlier
  10. 10. Models give Better Solutions in Less Time Reduce specification, architecture & verification time Avoid wasting funds on unprofitable upgrades Lower the risk of late, high-impact design flaws 10 Solve problems with network development incrementally.
  11. 11. Mobile and Broadband Communication Communication Network Solution Digital Storefront Network Service Manager E2E Service Management Management Domain(s) Network Access Network Edge Network Core Network Transmission Network Facilities 11 “Models are defined independent from the implementation of the managed entities in order to facilitate portability, reusability and to allow vendor-neutral management” - ETSI Zero-touch network and Service Management (ZSM) Reference Architecture, August 2019
  12. 12. Model-based systems approaches help Communications Service Providers solve the world’s biggest communication problems – complex, transdisciplinary problems The Expected Outcomes 12
  13. 13. 13
  14. 14. The Method: ARCADIA 14 Developed and applied successfully by Thales since 2006 Adopted by major companies & universities in different domains globally
  15. 15. ARCADIA Phases 15
  16. 16. ARCADIA Key Concepts 16 Is described by involves involves implements
  17. 17. The Tool 17 • Open Source • Collaboration • Support from Obeo
  18. 18. Diving in the system 18
  19. 19. The Context of the Case Study: Mission and Capabilities 19 Capability : Operate Communication Solution Functional Chain: Customer get service Capability : Deliver Communication Functional Chain: Customer uses Service
  20. 20. 20 The Context of the Case Study: Involved Actors Capability : Operate Communication Solution Functional Chain: Customer get service Capability : Deliver Communication Functional Chain: Customer uses Service
  21. 21. System Functions 21
  22. 22. Interactions between Customer and System 22 Functional Chains: Customer get service Customer uses service
  23. 23. Diving in the system 23
  24. 24. System Components 24
  25. 25. Functions Decomposition 25
  26. 26. Dive into the System: Customer get service 26
  27. 27. Dive into the System: Customer uses Service 27
  28. 28. Diving into the system 28
  29. 29. Network Components 29
  30. 30. Customer Get Service 30
  31. 31. Customer Uses Service 31
  32. 32. Different perspectives 32 Multiple views for free Update one, update all
  33. 33. Different perspectives 33 Complementary views check model completeness
  34. 34. 34
  35. 35. Cost Reduction & Time to Market 35 • Functional Analysis linked to requirements requirement requirement requirement Updating the model Updating the requirement set
  36. 36. Cost Reduction & Time to Market 36 • Functional Analysis linked to requirements R R R Test Procedure Test Case Test Case Test Case Test Case Test Case Test Case Test Case Test Case Test Case Test Case Test Case Test Case
  37. 37. Improving Resilience 37 Security: Threat Analysis
  38. 38. Other Benefits 38 • Interface generation • Simulation • Trade-off analysis • Impact analysis • Safety analysis • Requirements generation • Document generation
  39. 39. Identifying the Best Approach Use Model Frame Problem Design Method Collect Data Create Model Deploy Model Determine: • Uses and users • Scope and context • Information and data to be captured • Views and products to be built 39 Start here Do not start here Martin, J., “Problem Framing: Identifying the Right Models for the Job”, 29th INCOSE Int’l Symposium, Florida, July 2019 The model-based systems approach is a journey
  40. 40. International Council on Systems Engineering Telecommunications Working Group Purpose • To improve delivery of telecommunications solutions by enhancing the systems engineering body of knowledge for telecommunications applications Stakeholders • Critical and emergency services personnel • Federal and municipal governments, utilities and transportation agencies • Enterprise and consumer users of commercial telecommunications services Projects • Commercial communication networks • Critical communication networks Events and Publications • International Wireless Communications Expo IWCE2020 • INCOSE International Symposium • INCOSE International Workshop • Weekly working group 40 To engage with the INCOSE Telecommunications Working Group, please email
  41. 41. Conclusions • We demonstrated the Arcadia method and its functional chains for a commercial communication solution. • The approach can be applied to network communication solutions more generally. • We believe model-based systems approaches enable competitive advantage in the telecommunications industry, just as it has in other industries. 41
  42. 42. Questions 42 Thankyou Fabrice Lestideau Thinksystems Pty Ltd John Risson Anacom Pty Ltd