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Spectrum Allocation and Device Association in Federated Learning-Enabled Industrial IoT via Hypergraph Matching

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posted on 02.08.2021, 07:48 by Suiyuan Wu, Long ZhangLong Zhang, Yao Wang, Zhu Han
In this paper, a joint spectrum allocation and device association problem is investigated for a federated learning aided hierarchical Industrial Internet of Things (IIoT) system for smart factory. To achieve the optimization jointly, we design a weighted learning utility maximization problem, which is a 0-1 integer linear programming problem. To solve this problem, we convert it into a weighted 3D hypergraph model by capturing the 3D mapping relation for IIoT device, subchannel, and edge server. A local search algorithm is then presented to find a 3D hypergraph matching with maximum total weights as the suboptimal solution. Simulation results demonstrate the superior performance of the proposed algorithm compared with the greedy algorithm in the system learning utility.

History

Email Address of Submitting Author

lzhang0310@gmail.com

ORCID of Submitting Author

0000-0002-5607-3271

Submitting Author's Institution

Hebei University of Engineering

Submitting Author's Country

China