Our department is a partner of H2020 project on 5G/B5G wireless networks

Programme: H2020-MSCA-RISE-2018: 

MARIE SKŁODOWSKA-CURIE Research and Innovation Staff Exchange

Project title: RECENT: Ultra-Dense Unsupervised Heterogeneous Wireless Cloud Coded Networks for 5G/B5G

http://recent-project.eu

https://cordis.europa.eu/project/id/823903

Duration: 48 months

Budget: 897000Euro (IYTE’s budget is 216200Euro)

Project partners:

  • Portugal (Project Coordinator) (GS-Lda Ltd.),
  • Turkey (Izmir Institute of Technology),
  • Finland (YL-VERKOT OY Ltd.),
  • K (Essex University)

IYTE’s Team:

Assoc.Prof.Dr. Berna ÖZBEK,

Research Assist. S.Simay YILMAZ,

Research Assist. İrem CUMALI,

Research Assist. Oğulcan ERDOĞAN,

Research Assist. Mert İLGÜY

 

Abstract:

Beyond 5G (B5G) wireless networks will undoubtedly have greatly increased density and scale compared to current networks, resulting in massive interaction between nodes. It will be infeasible to provide fixed connections to all access nodes, and hence these networks will evolve towards a heterogeneous, multihop, self-organizing architecture. Moreover, for several significant B5G scenarios (such as vehicular networks in “smart cities”) the topology may be a priori unknown and rapidly time-variant: therefore, it will be impractical to provide a global coordinating authority, and hence these networks will be essentially unsupervised. (Security remains paramount, and physical security mechanisms especially appropriate.) The conventional networking paradigm will be severely limited by interference in these scenarios, greatly reducing efficiency. It has already been shown in both theory and practice that wireless physical-layer network coding (WPNC) is nevertheless capable of resolving this situation because it can allow relay nodes to extract useful information from all combined received signals, rather than treating them as deleterious interference. However, previous work on WPNC has not addressed the case of large-scale, unsupervised, secure, dynamic networks. RECENT will address such networks starting with fundamental theory and technology, including information theory, network coded modulation (NCM) for WPNC, stochastic network theory, and physical layer security. The developed technologies will be deployed and validated in the system level simulator and hardware-in- the-loop (HIL) platform. Running in parallel to the technical activities, a rigorously crafted innovation management programme will assess business opportunities of RECENT technologies, taking into consideration standards and regulation, and hence ensure that they achieve their full industrial and societal impact.