4 papers · 1 filter
Baseband-Efficient WMMSE Precoding: From a Signal Weighting Cost Perspective
Shuai Gao, Fan Xu, Mian Li +4
For downlink transmission in massive multi-user multiple-input multiple-output (MU-MIMO) systems, conventional precoding research heavily focuses on reducing the computational comp…
Optimal Low-Dimensional Structures of ISAC Beamforming: Theory and Efficient Algorithms
Xiaotong Zhao, Mian Li, Ya-Feng Liu +2
Transmit beamforming design is a fundamental problem in integrated sensing and communication (ISAC) systems. Numerous methods have been proposed to jointly optimize key performance…
Decentralized Equalization for Massive MIMO Systems With Colored Noise Samples
Xiaotong Zhao, Mian Li, Bo Wang +3
Recently, the decentralized baseband processing (DBP) paradigm and relevant detection methods have been proposed to enable extremely large-scale massive multiple-input multiple-out…
Decentralized Linear MMSE Equalizer Under Colored Noise for Massive MIMO Systems
Xiaotong Zhao, Xin Guan, Mian Li +1
Conventional uplink equalization in massive MIMO systems relies on a centralized baseband processing architecture. However, as the number of base station antennas increases, centra…