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20202023
most citedCommunication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving

19 citations · 22 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.IT2023

Sensing-Enhanced Secure Communication: Joint Time Allocation and Beamforming Design

Dongfang Xu, Yiming Xu, Zhiqiang Wei +2

The integration of sensing and communication enables wireless communication systems to serve environment-aware applications. In this paper, we propose to leverage sensing to enhanc…

cs.IT2023

Joint Beamforming and Antenna Movement Design for Moveable Antenna Systems Based on Statistical CSI

Xintai Chen, Biqian Feng, Yongpeng Wu +2

This paper studies a novel movable antenna (MA)-enhanced multiple-input multiple-output (MIMO) system to leverage the corresponding spatial degrees of freedom (DoFs) for improving…

cs.RO2023★ 19 cited

Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving

Wei-Bin Kou, Shuai Wang, Guangxu Zhu +4

While federated learning (FL) improves the generalization of end-to-end autonomous driving by model aggregation, the conventional single-hop FL (SFL) suffers from slow convergence…

cs.IT2023

Integrated Sensing and Communication in Coordinated Cellular Networks

Dongfang Xu, Chang Liu, Shenghui Song +1

Integrated sensing and communication (ISAC) is a promising technique to provide sensing services in future wireless networks. Numerous existing works have adopted a monostatic rada…

cs.IT2023

Integrated sensing and full-duplex communication: Joint transceiver beamforming and power allocation

Zhenyao He, Wei Xu, Hong Shen +3

Beamforming design has been widely investigated for integrated sensing and communication (ISAC) systems with full-duplex (FD) sensing and half-duplex (HD) communication. To achieve…

cs.IT2023

Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels

Bokai Xu, Zhe Wang, Huahua Xiao +3

Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technology for the future sixth-generation (6G) networks to achieve higher performance. In practice, v…