Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network
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Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network
Journal on CommunicationsVol. 44, Issue 10, Pages: 112-123(2023)
作者机构:
1. 北京信息科技大学信息与通信系统信息产业部重点实验室,北京 100101
2. 北京信息科技大学现代测控技术教育部重点实验室,北京 100101
3. 北京邮电大学泛网无线通信教育部重点实验室,北京 100876
4. 悉尼科技大学电气与数据工程学院,悉尼 NSW 2007
作者简介:
基金信息:
The National Natural Science Foundation of China(62301059);The Project of Cultivation for Young Top-Motch Talents of Beijing Municipal Institutions(BPHR202203228);The Key Laboratory of Universal Wireless Communications (BUPT), Ministry of Education(KFKT-2020105);Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund(L212026);Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund(L222004)
Yuanyuan YAO, Yiqiu LIU, Sai HUANG, et al. Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network[J]. Journal on Communications, 2023, 44(10): 112-123.
DOI:
Yuanyuan YAO, Yiqiu LIU, Sai HUANG, et al. Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network[J]. Journal on Communications, 2023, 44(10): 112-123. DOI: 10.11959/j.issn.1000-436x.2023188.
Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network