895 citations · 2.6k across the 43 of their papers we have counts for
9 papers · 1 filter
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…
Once and for All: Scheduling Multiple Users Using Statistical CSI under Fixed Wireless Access
Xin Guan, Zhixing Chen, Yibin Kang +1
Conventional multi-user scheduling schemes are designed based on instantaneous channel state information (CSI), indicating that decisions must be made every transmission time inter…
A Physics-based and Data-driven Approach for Localized Statistical Channel Modeling
Shutao Zhang, Xinzhi Ning, Xi Zheng +3
Localized channel modeling is crucial for offline performance optimization of 5G cellular networks, but the existing channel models are for general scenarios and do not capture loc…
Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?
Xiaotong Zhao, Siyuan Lu, Qingjiang Shi +1
Precoding design for maximizing weighted sum-rate (WSR) is a fundamental problem for downlink of massive multi-user multiple-input multiple-output (MU-MIMO) systems. It is well-kno…
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…
Towards Overfitting Avoidance: Tuning-free Tensor-aided Multi-user Channel Estimation for 3D Massive MIMO Communications
Lei Cheng, Qingjiang Shi
Channel estimation has long been deemed as one of the most critical problems in three-dimensional (3D) massive multiple-input multiple-output (MIMO), which is recognized as the lea…