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10 papers · 2 filters
Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization
Phu Lai, Wei Xiang, William Damario Lukito +4
Cell-free massive multiple-input multiple-output (CFmMIMO) coordinates a great number of distributed access points (APs) with central processing units (CPUs), effectively reducing…
Residual Channel Boosts Contrastive Learning for Radio Frequency Fingerprint Identification
Rui Pan, Hui Chen, Guanxiong Shen +1
In order to address the issue of limited data samples for the deployment of pre-trained models in unseen environments, this paper proposes a residual channel-based data augmentatio…
Joint Beamforming for STAR-RIS in Near-Field Communications
Li Haochen, Yuanwei Liu, Xidong Mu +2
A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided near-field multiple-input multiple-output (MIMO) communication framework is propose…
STAR-RIS Aided Integrated Sensing, Computing, and Communication for Internet of Robotic Things
Haochen Li, Xidong Mu, Yuanwei Liu +2
A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided integrated sensing, computing, and communication (ISCC) Internet of Robotic Things…
STAR-RIS in Cognitive Radio Networks
Haochen Li, Yuanwei Liu, Xidong Mu +3
The development of sixth-generation (6G) communication technologies is confronted with the significant challenge of spectrum resource shortage. To alleviate this issue, we propose…
Ubiquitous Integrated Sensing and Communications for Massive MIMO LEO Satellite Systems
Li You, Yongxiang Zhu, Xiaoyu Qiang +4
The next sixth generation (6G) networks are envisioned to integrate sensing and communications in a single system, thus greatly improving spectrum utilization and reducing hardware…