Integrated Sensing and Communications with Joint Beam Squint and Beam Split for Massive MIMO

no code implementations • 18 Jul 2022 • Liangyuan Xu, Feifei Gao

In this paper, instead of alleviating the wideband beam squint effect, we take advantage of joint beam squint and beam split effect and propose a novel user directions sensing method integrated with massive MIMO orthogonal frequency division multiplexing (OFDM) systems.

Joint Channel Estimation and Mixed-ADCs Allocation for Massive MIMO via Deep Learning

no code implementations • 8 Jun 2021 • Liangyuan Xu, Feifei Gao, Ting Zhou, Shaodan Ma, Wei zhang

Instead of randomly assigning the mixed-ADCs, we then design a novel antenna selection network for mixed-ADCs allocation to further improve the channel estimation accuracy.

Model Aided Deep Learning Based MIMO OFDM Receiver With Nonlinear Power Amplifiers

no code implementations • 30 May 2021 • Liangyuan Xu, Feifei Gao, Wei zhang, Shaodan Ma

Multi-input multi-output orthogonal frequency division multiplexing (MIMO OFDM) is a key technology for mobile communication systems.