Smart-Contract-based Automation for OF-RAN Processes: A Federated Learning Use-Case
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Authors
Jijin, Jofina
Seet, Boon-Chong
Chong, Peter Han Joo
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Item type
Journal Article
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Publisher
MDPI AG
Abstract
The opportunistic fog radio access network (OF-RAN) expands its offloading computation capacity on-demand by establishing virtual fog access points (v-FAPs), comprising user devices with idle resources recruited opportunistically to execute the offloaded tasks in a distributed manner. OF-RAN is attractive for providing computation offloading services to resource-limited Internet-of-Things (IoT) devices from vertical industrial applications such as smart transportation, tourism, mobile healthcare, and public safety. However, the current OF-RAN design is lacking a trusted and distributed mechanism for automating its processes such as v-FAP formation and service execution. Motivated by the recent emergence of blockchain, with smart contracts as an enabler of trusted and distributed systems, we propose an automated mechanism for OF-RAN processes using smart contracts. To demonstrate how our smart-contract-based automation for OF-RAN could apply in real life, a federated deep learning (DL) use-case where a resource-limited client offloads the resource-intensive training of its DL model to a v-FAP is implemented and evaluated. The results validate the DL and blockchain performances of the proposed smart-contract-enabled OF-RAN. The appropriate setting of process parameters to meet the often competing requirements is also demonstrated.Description
Keywords
automation, blockchain, computation offloading, federated deep learning, industrial Internet-of-Things, opportunistic fog radio access network, smart contract, 4605 Data Management and Data Science, 4606 Distributed Computing and Systems Software, 46 Information and Computing Sciences, Machine Learning and Artificial Intelligence, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies, 4009 Electronics, sensors and digital hardware
Source
Journal of Sensor and Actuator Networks, ISSN: 2224-2708 (Print); 2224-2708 (Online), MDPI AG, 11(3). doi: 10.3390/jsan11030053
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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).