通信学报2024，Vol.45Issue(9)：129-143,15.DOI:10.11959/j.issn.1000-436x.2024159
基于FL的无蜂窝网络用户调度与功率分配策略
User scheduling and power allocation strategy for cell-free networks based on federated learning
摘要
Abstract
In order to address the issue of limited training performance in federated learning(FL)due to user link quality disparities and imbalanced communication,and computing resource utilization in cell-free network systems,a joint opti-mization problem for user scheduling and power allocation was designed.Firstly,a low-complexity resource priority based secondary sampling user scheduling(RPSS-US)algorithm was proposed.Users were selected based on the avail-ability of their computing resources and link quality,with priority given to those contributing more to system capacity and global model updates,thus improving overall training performance.Then,a power allocation algorithm based on the binary method(BM-PA)was proposed to optimize power allocation,improve user link quality differences,enhance data transmission rates,and reduce overall FL task delay.By iteratively optimizing these two sub-problems alternately,joint optimization of system performance was achieved.Simulation results demonstrate that compared to other comparison al-gorithms,the proposed algorithm achieves a 47.19%increase in downlink throughput,a 22.60%increase in uplink throughput,and a 57.33%reduction in FL task time consumption,while minimizing time overhead for achieving the same model accuracy关键词
无蜂窝网络/联邦学习/用户调度/功率分配/联合优化Key words
cell-free network/federated learning/user scheduling/power allocation/joint optimization分类
信息技术与安全科学引用本文复制引用
王华华,黄烨霞,李玲..基于FL的无蜂窝网络用户调度与功率分配策略[J].通信学报,2024,45(9):129-143,15.基金项目
重庆市自然科学基金创新发展联合基金(中国星网)资助项目(No.CSTB2023NSCQ-LZX0114)Chongqing Natural Science Foundation Innovation and Development Joint Fund(China Star Network)(No.CSTB2023NSCQ-LZX0114) （中国星网）
