Federated Spectrum Management Through Hedonic Coalition Formation

被引：0

作者：

He, Zhili ^{[1
]}

Tu, Tianyu ^{[1
]}

Wang, Kanye Ye ^{[2
]}

Luo, Bing ^{[3
]}

Cheng, Dazhao ^{[1
]}

Hu, Chuang ^{[1
]}

机构：

[1] Wuhan Univ, Wuhan, Peoples R China

[2] Univ Macau, Macau, Peoples R China

[3] Duke Kunshan Univ, Kunshan, Peoples R China

来源：

PROCEEDINGS OF THE 8TH ASIA-PACIFIC WORKSHOP ON NETWORKING, APNET 2024 | 2024年

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1145/3663408.3665823

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：217 / 218

页数：2

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