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eess.SP2024
Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver
Jiatong Bai, Feng Shu, Qinghe Zheng +5
Due to its excellent performance in rate and resolution, fully-digital (FD) massive multiple-input multiple-output (MIMO) antenna arrays has been widely applied in data transmissio…
eess.SP2024
Two Power Allocation and Beamforming Strategies for Active IRS-aided Wireless Network via Machine Learning
Qiankun Cheng, Jiatong Bai, Baihua Shi +2
This paper models an active intelligent reflecting surface (IRS) -assisted wireless communication network, which has the ability to adjust power between BS and IRS. We aim to maxim…
eess.SP2024
Machine Learning-based Near-field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive Array
Jiatong Bai, Yifan Li, Feng Shu +5
As a green MIMO structure, the partially-connected hybrid analog and digital (PC-HAD) structure has been widely used in the far-field (FF) scenario for it can significantly reduce…