Wireless 5G Network in Edge Computing Based On MIMO with Federated Learning and Clustering Integrated Reinforcement Learning

Parasuraman, Manikandan; Rajeyyagari, Sivaram; Sekaran, Ramesh; Kannan, Suthendran; Ravi, Vinayakumar

Wireless 5G Network in Edge Computing Based On MIMO with Federated Learning and Clustering Integrated Reinforcement Learning

Parasuraman, Manikandan and Rajeyyagari, Sivaram and Sekaran, Ramesh and Kannan, Suthendran and Ravi, Vinayakumar (2025) Wireless 5G Network in Edge Computing Based On MIMO with Federated Learning and Clustering Integrated Reinforcement Learning. EAI Endorsed Transactions on Internet of Things.

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Abstract

Edge Computing (EC) is a revolutionary architecture that brings Cloud Computing (CC) services closer to data sources than ever before. This research proposed novel technique in edge computing network based on wireless 5G technology using MIMO_federated learning integrated with Reinforcement neural n

Item Type:	Article
Date Deposited:	04 Mar 2026 18:30
Last Modified:	10 Apr 2026 23:02
URI:	http://eprints.eai.eu/id/eprint/52769

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