8 papers
ORBITALIF: An Efficient Spiking Federated Learning Framework for Onboard Cloud Removal
Bohan Zhang, Chenyu Xu, Yijie Mao +1
Low-earth-orbit (LEO) satellites enable high-resolution, large-scale Earth observation for applications such as disaster monitoring and environmental surveillance. However, cloud c…
Joint Active and Passive Beamforming Optimization for Beyond Diagonal RIS-aided Multi-User Communications
Xiaohua Zhou, Tianyu Fang, Yijie Mao
Benefiting from its capability to generalize existing reconfigurable intelligent surface (RIS) architectures and provide additional design flexibility via interactions between RIS…
RIS-aided Wireless-Powered Backscatter Communications for Sustainable Internet of Underground Things
Kaiqiang Lin, Yijie Mao
Wireless-powered underground sensor networks (WPUSNs), which enable wireless energy transfer to sensors located underground, is a promising approach for establishing sustainable in…
Joint Beam Scheduling and Resource Allocation for Flexible RSMA-aided Near-Field Communications
Jiasi Zhou, Cong Zhou, Yijie Mao +1
Supporting immense throughput and ubiquitous connectivity holds paramount importance for future wireless networks. To this end, this letter focuses on how the spatial beams configu…
Green Probabilistic Semantic Communication over Wireless Networks
Ruopeng Xu, Zhaohui Yang, Yijie Mao +5
In this paper, we propose a multi-user green semantic communication system facilitated by a probabilistic knowledge graph (PKG). By integrating probability into the knowledge graph…
RS-BNN: A Deep Learning Framework for the Optimal Beamforming Design of Rate-Splitting Multiple Access
Yiwen Wang, Yijie Mao, Sijie Ji
Rate splitting multiple access (RSMA) relies on beamforming design for attaining spectral efficiency and energy efficiency gains over traditional multiple access schemes. While con…