6GTelMED: Resources Recommendation Framework on 6G-Enabled Distributed Telemedicine Using Edge-AI

Telemedicine infrastructure is enhanced in recent times and applications developed have adopted base-line networking standards according to 4G/5G and LTE. The major challenge in exiting infrastructural setups is higher-latency and exposed privacy of resources and sensitive information. In this manus...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2024-01, Vol.70 (3), p.5524-5532
Main Authors: Thouheed Ahmed, Syed, Kumari Patil, Kiran, S., Sreedhar Kumar, Kumar Dhanaraj, Rajesh, Bhatia Khan, Surbhi, Alzahrani, Saeed, Rani, Shalli
Format: Article
Language:English
Subjects:
5G mobile communication
6G mobile communication
Artificial intelligence
Dynamic scheduling
Edge-AI
Industry 5.0
Internet of Things
IoT/IoMT
Medical devices
Medical equipment
Medical services
Network latency
Privacy
Protocols
Resource allocation
Resource management
Resource scheduling
resources recommendation
Servers
Telemedicine
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Summary:Telemedicine infrastructure is enhanced in recent times and applications developed have adopted base-line networking standards according to 4G/5G and LTE. The major challenge in exiting infrastructural setups is higher-latency and exposed privacy of resources and sensitive information. In this manuscript, we have proposed a 6G enabled resource recommendation framework for telemedicine. The framework is developed on the Edge-AI computational principles to cater the needs and demands of medical devices associated in telemedicine. The approach is to customize the network via Distributed Telemedicine Network (DTN) protocol for edge-devices such IoT/IoMT and medical consumers' calibration on an existing TelMED protocol of dynamic resource allocation. The DTN aims to generate a resource recommendation stack for incoming user demand via 6G spectrum. The edge-AI framework supports resources allocation with minimal latency and delay and improved privacy of data under the operations. The framework further interfaces the Industry 5.0 applications and consumer demands for effective resources allocation, scheduling and monitoring.
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2024.3473291