13 citations · 20 across the 13 of their papers we have counts for
16 papers
Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning
Zhuoyin Dai, Di Wu, Xiaoli Xu +1
Channel knowledge map (CKM) is a promising paradigm shift towards environment-aware communication and sensing by providing location-specific prior channel knowledge before real-tim…
Deep Learning-Based CKM Construction with Image Super-Resolution
Shiyu Wang, Xiaoli Xu, Yong Zeng
Channel knowledge map (CKM) is a novel technique for achieving environment awareness, and thereby improving the communication and sensing performance for wireless systems. A fundam…
Sparse MIMO for ISAC: New Opportunities and Challenges
Xinrui Li, Hongqi Min, Yong Zeng +4
Multiple-input multiple-output (MIMO) has been a key technology of wireless communications for decades. A typical MIMO system employs antenna arrays with the inter-antenna spacing…
Little Pilot is Needed for Channel Estimation with Integrated Super-Resolution Sensing and Communication
Jingran Xu, Huizhi Wang, Yong Zeng +1
Integrated super-resolution sensing and communication (ISSAC) is a promising technology to achieve extremely high sensing performance for critical parameters, such as the angles of…
Theoretical Analysis of Impact of Delayed Updates on Decentralized Federated Learning
Yong Zeng, Siyuan Liu, Zhiwei Xu +1
Decentralized Federated learning is a distributed edge intelligence framework by exchanging parameter updates instead of training data among participators, in order to retrain or f…
Delay-Doppler Alignment Modulation for Spatially Sparse Massive MIMO Communication
Haiquan Lu, Yong Zeng
Delay alignment modulation (DAM) is an emerging technique for achieving inter-symbol interference (ISI)-free wideband communications using spatial-delay processing, without relying…