RECENT | Ultra-Dense Unsupervised Heterogeneous Wireless Cloud Coded Networks for 5G/B5G

Summary
"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 [1-5] 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."
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/823903
Start date: 01-11-2018
End date: 31-10-2023
Total budget - Public funding: 897 000,00 Euro - 897 000,00 Euro
Cordis data

Original description

"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 [1-5] 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."

Status

SIGNED

Call topic

MSCA-RISE-2018

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.3. Stimulating innovation by means of cross-fertilisation of knowledge
H2020-MSCA-RISE-2018
MSCA-RISE-2018