[PDF][PDF] 海上跨域无人集群研究进展综述

梁晓龙, 王宁, 王维佳, 可唯一 - 空军工程大学学报, 2023 - kjgcdx.cnjournals.com
摘要海战场是军事对抗的重要战场之一, 海上作战涉及空中, 水面, 水下以及海岸陆地等空间,
作战资源对象数量庞大且能力多样. 随着无人系统技术的不断发展, 跨域无人集群将成为未来 …

A survey on multiuser SWIPT communications for 5G+

S Özyurt, AF Coşkun, S Büyükçorak, GK Kurt… - IEEE …, 2022 - ieeexplore.ieee.org
Increasing number of devices connected to the networks, applications and demands of new
generation wireless communications cause very high energy consumption resulting in large …

UAV-assisted multi-cluster over-the-air computation

M Fu, Y Zhou, Y Shi, C Jiang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we study unmanned aerial vehicles (UAVs) assisted wireless data aggregation
(WDA) in multi-cluster networks, where multiple UAVs simultaneously perform different WDA …

Online optimization for over-the-air federated learning with energy harvesting

Q An, Y Zhou, Z Wang, H Shan, Y Shi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Federated learning (FL) is recognized as a promising privacy-preserving distributed
machine learning paradigm, given its potential to enable collaborative model training among …

Dynamic Resource Management for Federated Edge Learning With Imperfect CSI: A Deep Reinforcement Learning Approach

S Zhou, L Feng, M Mei, M Yao - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Federated edge learning (FEL) has become a research hotspot to relieve the computational
burden on servers and protect users' data privacy. In an FEL system, adjusting the client …

Multi-sinusoidal waveform shaping for integrated data and energy transfer in aging channels

J Hu, Y Hou, K Yang - China Communications, 2023 - ieeexplore.ieee.org
Integrated data and energy transfer (IDET) is capable of simultaneously delivering on-
demand data and energy to low-power Internet of Everything (IoE) devices. We propose a …

A pricing strategy for federated learning in UAV-enabled MEC

M Song, C Li, Y Luo - The Journal of Supercomputing, 2024 - Springer
Distributed model training is made possible by federated learning on various computing
nodes, and compute nodes can submit model updates individually while preserving data …

A fine synchronization method for coherent fast frequency hopping

X Yang, W Zhang, S Luo, C Li, X Miao… - China …, 2023 - ieeexplore.ieee.org
Coherent fast frequency hopping (CFFH) is attracting growing attention owing to its good
antijamming performance and the coherent combining ability. However, compared with the …

Price‐Based Resource Allocation in an UAV‐Based Cognitive Wireless Powered Networks

E Zhang, S Yin, Z Zhang, Y Qi, L Lu… - Wireless …, 2023 - Wiley Online Library
In recent years, unmanned aerial vehicle (UAV) has gained a lot of attention, mostly due to
its low cost, flexile deployment, and broad applications in many fields such as military …