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Details of Award

NERC Reference : NE/X007243/1

Enabling Beyond-5G Industrial IoT through Intelligent Networking in Unlicensed Spectrum

Grant Award

Principal Investigator:
Dr P Assimakopoulos, University of Kent, Sch of Engineering & Digital Arts
Science Area:
None
Overall Classification:
Unknown
ENRIs:
None
Science Topics:
Artificial Intelligence Agents
Machine Learning (AI)
Artificial Intelligence
Internet of things
Mobile systems & services
Mobile Computing
IT System Simulation
Modelling & simul. of IT sys.
RF & Microwave Technology
MIMO
Abstract:
EPSRC : George Frangulea : EP/T518141/1 The use of 5G operating in unlicensed spectrum (NR-U) as an enabler for industrial Internet of Things (IIoT)/Industry 4.0 services (e.g., smart power grids, factory automation and connected hospital etc.), is a research area currently generating significant interest from both academia and industry (with vendors such as Nokia and Qualcomm and operators such as Orange actively engaged in this area). The purpose of the proposed project is to enhance reliability and spectrum utilisation and minimize latency in NR-U, by using intelligence informed by physical layer messages and data gathered through spectrum scanning. This type of intelligence will be achieved through the use of reinforcement learning (RL-a type of machine learning algorithm). The RL algorithm will leverage beamforming (a process by which a radio beam is formed in a particular direction) techniques within the frequency channel access procedure to enhance spatial-reuse (multiple devices communicating concurrently, using the same time/frequency resources), and overcome problems such as hidden and exposed nodes within the network. The overarching target of the system will be to ensure that stringent latency and reliability requirements of IIoT/Industry 4.0 services are met, to ensure the seamless coexistence with other wireless technologies and enable the seamless coexistence of services at different priority levels, within the same network (a critical step forward in meeting Industry 4.0 / IIoT quality-of-service requirements).
Period of Award:
1 Sep 2022 - 31 Aug 2023
Value:
£11,608
Authorised funds only
NERC Reference:
NE/X007243/1
Grant Stage:
Completed
Scheme:
NC&C NR1
Grant Status:
Closed

This grant award has a total value of £11,608  

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FDAB - Financial Details (Award breakdown by headings)

Exception - Other Costs
£11,608

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