ARTS – Autonomous ResilienT Systems

Research group – IMT Lille Douai – Centre ERI Systèmes Numériques

Collect, connect

Data transport networks connect and power increasingly heterogeneous terminals. They will have to evolve and become fully-fledged intelligent networks to support new applications or even more efficient services. To move from connected objects to connected intelligence – 6G, [1-3] – the constraints to be supported will be strong: connectivity (objects >100 billion), but also latency (tactile internet <1ms), throughput (>1Tbs), coverage (99%), localisation (<10cm)… and will pose new scientific and technological challenges.

Wireless networks up to 4G were human-centric; 5G [4] also includes objects [5], introducing machine-to-machine communications with the new applications envisaged in the IoT framework. However, the actual vision remains centralised, with data being sent to a remote service provider for processing. The network can be considered “stupid”. It merely provides communication links between intelligent entities.

The ARTS group wishes to develop research combining connectivity-security-IA-driving to go far beyond the capabilities envisaged by 5G by integrating intelligence into the radio network itself [6-7], making it transparent and fluid.

 

Our expertise covers several fields:

  • Interference models (with IEMN and IRCICA) – impulsive noise, α-stable distribution, copula.
  • NOMA solutions for LoRa networks (with IEMN and IRCICA) – Multi User Detectors.
  • Information theory
  • Coordination
  • Multihop communications
  • EMF field measures and reconstruction (with IEMN and Télécom Paris)
  • Sensor networks experimental deployment (with IRCICA)
  • Neuro-inspired ultra low power communications (with IRCICA and IEMN)

 


[1] M. Elsayed and M. Erol-Kantarci, “AI-Enabled Future Wireless Networks: Challenges, Opportunities, and Open Issues,” IEEE Vehicular Technology Magazine, vol. 14, no. 3, pp. 70-77, Sep. 2019.
[2] W. Saad, M. Bennis and M. Chen, “A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems,” IEEE Network, 2019.
[3] K. Letaief, W. Chen, Y. Shi, J. Zhang and Y. Zhang, “The Roadmap to 6G: AI Empowered Wireless Networks,” IEEE Communications Magazine, pp. 84-90, Aug 2019.
[4] “5G Infrastructure-Public-Private-Partnership, “5G Vision” 2015. [Online]. Available: https://5g-ppp.eu/wp-content/uploads/2015/11/Vision-brochure.pdf.
[5] ITU, Overview of the Internet of Things, Recommendation Y.2060.2012, 2012.
[6] H. Gacanin, “Autonomous Wireless Systems With Artificial Intelligence: A Knowledge Management Perspective,” IEEE Vehicular Technology Magazine, vol. 14, no. 3, pp. 51-59, Sep. 2019.
[7] J. Xie and e. al., “A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges,” IEEE Communications Surveys & Tutorials, vol. 21, no. 1, pp. 393-430, Firstquarter 2019.