Federated Spectrum Management Through Hedonic Coalition Formation
Publication
, Conference
He, Z; Tu, T; Wang, KY; Luo, B; Cheng, D; Hu, C
Published in: ACM International Conference Proceeding Series
August 3, 2024
We present FedSM, a Federated Spectrum Management architecture to increase channel utilization (CU) and reduce latency, while protecting users' data privacy. We employ hedonic coalition formation game for spectrum allocation. Within each coalition, we design a bandit learning algorithm to share spectra and adjust resource usage. Preliminary simulation results show FedSM increases CU to 93.51% and reduces latency to 248.68 ms compared to three privacy-preserving dynamic spectrum management architectures.
Duke Scholars
Published In
ACM International Conference Proceeding Series
DOI
Publication Date
August 3, 2024
Start / End Page
217 / 218
Citation
APA
Chicago
ICMJE
MLA
NLM
He, Z., Tu, T., Wang, K. Y., Luo, B., Cheng, D., & Hu, C. (2024). Federated Spectrum Management Through Hedonic Coalition Formation. In ACM International Conference Proceeding Series (pp. 217–218). https://doi.org/10.1145/3663408.3665823
He, Z., T. Tu, K. Y. Wang, B. Luo, D. Cheng, and C. Hu. “Federated Spectrum Management Through Hedonic Coalition Formation.” In ACM International Conference Proceeding Series, 217–18, 2024. https://doi.org/10.1145/3663408.3665823.
He Z, Tu T, Wang KY, Luo B, Cheng D, Hu C. Federated Spectrum Management Through Hedonic Coalition Formation. In: ACM International Conference Proceeding Series. 2024. p. 217–8.
He, Z., et al. “Federated Spectrum Management Through Hedonic Coalition Formation.” ACM International Conference Proceeding Series, 2024, pp. 217–18. Scopus, doi:10.1145/3663408.3665823.
He Z, Tu T, Wang KY, Luo B, Cheng D, Hu C. Federated Spectrum Management Through Hedonic Coalition Formation. ACM International Conference Proceeding Series. 2024. p. 217–218.
Published In
ACM International Conference Proceeding Series
DOI
Publication Date
August 3, 2024
Start / End Page
217 / 218