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EuCNC 2018 5g for factories of the future

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Factories of the Future, 5G, H2020, Clear5G project approache and early results.

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EuCNC 2018 5g for factories of the future

  1. 1. 5G for the Factories of the Future Haibin Zhang, TNO Technical Manager, H2020 Clear5G project EuCNC 2018 Workshop 1 : Vertical Industries & Services for 5G (VIS5G) Ljubljana, 18 June 2018
  2. 2. Clear5G • Clear5G-Converged wireless access for reliable 5G MTC for factories of the future (FoF) Location, Date 2 • Horizon2020 EU-TW collaboration • Sept. 2017 – Feb. 2020 • Focus on 5G radio network for FoF (PHY, MAC, NET) • Coordinator: University of Surrey • Coordinator TW: Institute for Information Industry • Technical Manager: TNO • Objectives: to design, develop, validate, and demonstrate an integrated convergent wireless network for Machine Type and Mission Critical Communication (MTC/MCC) services for Factories of the Future (FoF)
  3. 3. Clear5G vision • While parts of the underlying communications infrastructure will be public networks, within factories there will be private (physically or virtually) factory wide 5G networks tailored to the particular needs of the individual site • Continuous monitoring while products or parts are within the logistics section of the production chain • Spectrum regulation and management plays a significant role Location, Date 3
  4. 4. Challenges and Clear5G KPI’s • Industrial environment is challenging for wireless connectivity, e.g. both large- and small-scale fading (predictable?) • Massive connectivity • Coverage, reliability and latency • Heterogeneity (private and public network, different radio technologies Location, Date 4 Clear 5G KPI Targeted value Latency (end-to-end) Down to 1 ms Reliability Up to 99.999% Connection density Up to 100 nodes per 1 m3 Security PHY framework Heterogeneity (convergent air interfaces) Coexistence of various radio interfaces, and various FoF use cases Energy efficiency (Device battery life) >15 year battery life
  5. 5. Use cases and categorizations (D1.1) • For a “massive connected factory” it is primarily the combination of all applications that makes it massive. • “URLLC” vs “Non-URLLC” • Mobile objects: mobile robots/platforms, automated guided vehicles –AGVs Location, Date 5
  6. 6. Targeted technology components • PHY (WP2) • Adaptive frame structure • New waveform • Non-coherent modulation • NOMA • Physical-layer security • MAC (WP3) • Random access enhancement • (Adaptive) Contention-based or –free MAC • Joint PHY and MAY optimization • Heterogeneous Radio Access • Networking (WP4) • RAN architecture • RAN Slicing • Multiple connectivity, (UE) relaying • Public and private network integration Location, Date 6
  7. 7. Example: Network slicing in a factory network • Slicing enables operators to support different network instances on the same infrastructure • FoF as one of the slices, or • Different FoF use cases (e.g. URLLC, non- URLLC) may be served by different slices • URLLC: local controller • Non-URLLC: controller in the cloud • FoF slices may be provided by a public network operator, or a physically private network. Location, Date 7
  8. 8. Example: UE relaying in hostile industrial environment • Industrial objects (e.g. containers) may be made of steel and are blocking radio signals • The UE-UE link may be inband (i.e. self- backhauling) or out-of-band (e.g. via Wi-Fi Aware) • UE1 should be visible to the network Location, Date 8 UE1 5G ProSe Application Inband or out-of-band ProSe Application UE2
  9. 9. Trial scenarios (D5.1, D5.2) • Massive sensor data collection in FoF • Monitoring & Closed Loop Control in FoF • Seamless Interoperability and Mobility (private FoF and public networks) Location, Date 9
  10. 10. 10 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 761745 and from the Government of Taiwan. Thank you!

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