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Global Experimentation for Future Internet - 2019

7–8 Nov 2019
Hotel Quinta das Lágrimas
Europe/Lisbon timezone

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Session

ICE-T Sessions

8 Nov 2019, 14:00
Aqua room (Hotel Quinta das Lágrimas)

Aqua room

Hotel Quinta das Lágrimas

Rua António Augusto Gonçalves Coimbra, 3041-901 Portugal

Presentation materials

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  1. 34. A Knowledge-Defined Platform for Real-Time Management of Transmissions and Computations at Network Edge
    Flavio Esposito
    08/11/2019, 14:00
  2. 35. Accelerating Network Function Virtualization and Service Function Chain Processing for Emerging 5G Services and Edge Computing
    Zhi-Li Zhang
    08/11/2019, 14:15
  3. 36. AI enabled radios for dynamic spectrum sharing
    Ivan Seskar
    08/11/2019, 14:30
  4. 37. Horizontal Resource Management in Distributed Edge Clouds
    Prashant Shenoy
    08/11/2019, 14:45
  5. 38. Millimeter Wave Communications and Edge Computing for Next Generation Tetherless Mobile Virtual Reality
    Jacob Chakareski
    08/11/2019, 15:00
  6. 39. Multi-Domain Multi-Broker Elastic Optical Networks with Cognitive Functionalities
    Roberto Proietti
    08/11/2019, 15:15
  7. 41. Optimizing Internet video through support from the network edge
    Sanjay Rao
    08/11/2019, 15:45
  8. 40. Multi-Element Mobile Visible Light Communication for Smart Cities
    Murat Yuksel
    08/11/2019, 16:00
  9. 43. Software Hardware Efficient Extensible Protocols (SHEEP)
    John Dooley
    08/11/2019, 16:15
  10. 42. Simulating Network Coexistence of NR-U and IEEE 802.11ax in ns-4
    Sumit Roy
    08/11/2019, 16:30
  11. 44. Towards a Secure and Flexible Personal Data Platform on the Edge
    Tamer Nadeem
    08/11/2019, 16:45
  12. 46. Towards Highly Reliable Low Latency Broadband (HRLLBB) Communications over Wireless Heterogeneous Networks
    Walid Saad
    08/11/2019, 17:00
  13. 47. Debrief, Feedback, Next steps, Adjourn
    Abhimanyu Gosain
    08/11/2019, 17:15
  14. 45. Towards End-to-End Resource Optimization for Time-Critical Computing Using Reinforcement Learning and Program Analysis
    Liqiang Wang
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