8 citations · 9 across the 7 of their papers we have counts for
7 papers
Neural Network-Assisted Hybrid Model Based Message Passing for Parametric Holographic MIMO Near Field Channel Estimation
Zhengdao Yuan, Yabo Guo, Dawei Gao +5
Holographic multiple-input and multiple-output (HMIMO) is a promising technology with the potential to achieve high energy and spectral efficiencies, enhance system capacity and di…
Message Passing Based Block Sparse Signal Recovery for DOA Estimation Using Large Arrays
Yiwen Mao, Dawei Gao, Qinghua Guo +1
This work deals with directional of arrival (DOA) estimation with a large antenna array. We first develop a novel signal model with a sparse system transfer matrix using an inverse…
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning
Dawei Gao, Qinghua Guo, Ming Jin +2
Choosing the values of hyper-parameters in sparse Bayesian learning (SBL) can significantly impact performance. However, the hyper-parameters are normally tuned manually, which is…
Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks
Dawei Gao, Qinghua Guo, Guisheng Liao +4
In this paper, we investigate signal detection in multiple-input-multiple-output (MIMO) communication systems with hardware impairments, such as power amplifier nonlinearity and in…
Massive MIMO As an Extreme Learning Machine
Dawei Gao, Qinghua Guo, Yonina C. Eldar
This work shows that a massive multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs) forms a natural extreme learning machine (ELM).…
Extreme Learning Machine Based Non-Iterative and Iterative Nonlinearity Mitigation for LED Communications
Dawei Gao, Qinghua Guo, Jun Tong +3
This work concerns receiver design for light emitting diode (LED) communications where the LED nonlinearity can severely degrade the performance of communications. We propose extre…