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Spectrum Allocation and Device Association in Federated Learning-Enabled Industrial IoT via Hypergraph Matching
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  • Suiyuan Wu ,
  • Long Zhang ,
  • Yao Wang ,
  • Zhu Han
Suiyuan Wu
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Long Zhang
Hebei University of Engineering

Corresponding Author:[email protected]

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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.