3 papers
cs.AI2024
Multi-modal Iterative and Deep Fusion Frameworks for Enhanced Passive DOA Sensing via a Green Massive H2AD MIMO Receiver
Jiatong Bai, Minghao Chen, Wankai Tang +4
Most existing DOA estimation methods assume ideal source incident angles with minimal noise. Moreover, directly using pre-estimated angles to calculate weighted coefficients can le…
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…