339 citations · 2.5k across the 73 of their papers we have counts for
13 papers · 1 filter
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…
A Data Quality Assessment Framework for AI-enabled Wireless Communication
Hanning Tang, Liusha Yang, Rui Zhou +5
Using artificial intelligent (AI) to re-design and enhance the current wireless communication system is a promising pathway for the future sixth-generation (6G) wireless network. T…
Robust Adaptive Beamforming via Worst-Case SINR Maximization with Nonconvex Uncertainty Sets
Yongwei Huang, Hao Fu, Sergiy A. Vorobyov +1
This paper considers a formulation of the robust adaptive beamforming (RAB) problem based on worst-case signal-to-interference-plus-noise ratio (SINR) maximization with a nonconvex…
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…
Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems with Limited Feedback
Kai Li, Ying Li, Lei Cheng +2
The downlink channel covariance matrix (CCM) acquisition is the key step for the practical performance of massive multiple-input and multiple-output (MIMO) systems, including beamf…
Efficient Estimation of Sensor Biases for the 3-Dimensional Asynchronous Multi-Sensor System
Wenqiang Pu, Ya-Feng Liu, Zhi-Quan Luo
An important preliminary procedure in multi-sensor data fusion is \textit{sensor registration}, and the key step in this procedure is to estimate sensor biases from their noisy mea…