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Differentially Private Energy Sharing Among Smart Grid-Powered Base Stations
Ref: CISTER-TR-240702       Publication Date: 7 to 10, Oct, 2024

Differentially Private Energy Sharing Among Smart Grid-Powered Base Stations

Ref: CISTER-TR-240702       Publication Date: 7 to 10, Oct, 2024

Abstract:
Allowing for energy sharing among base stations (BSs), we investigate a distributed BS system equipped with renewable power units and energy storage batteries. While offering significant benefits, this raises concerns about privacy protection. By leveraging the Laplace mechanism, our differential privacy (DP) based method safeguards energy consumption data related to processing data tasks from different BSs. To address a long-term average cost minimization problem, we propose a distributed online algorithm for efficient energy sharing. We demonstrate that the boundary constraints of energy storage batteries can still be satisfied by choosing parameters appropriately. We provide a theoretical bound for the optimality gap and validate the effectiveness of our theoretical results. The experimental results indicate that our proposed algorithm can potentially reduce the average costs of BSs by up to approximately 34%.

Authors:
Liwan Qi
,
Bochun Wu
,
Fei Wang
,
Kai Li
,
Wei Ni
,
Abbas Jamalipour


IEEE Vehicular Technology Conference (VTC2024-Fall, 2024), Protocols, Security and Services for Wireless Networks.
Washington DC, U.S.A..



Record Date: 17, Jul, 2024