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Smart-Contract-Based Automation for OF-RAN Processes: A Federated Learning Use-Case.

Authors :
Jijin, Jofina
Seet, Boon-Chong
Chong, Peter Han Joo
Source :
Journal of Sensor & Actuator Networks; Sep2022, Vol. 11 Issue 3, pN.PAG-N.PAG, 14p
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22242708
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
Journal of Sensor & Actuator Networks
Publication Type :
Academic Journal
Accession number :
159334127
Full Text :
https://doi.org/10.3390/jsan11030053