activity
20192022
most citedOn the Uplink Achievable Rate of Massive MIMO System With Low-Resolution ADC and RF Impairments

67 citations · 86 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2022★ 1 cited

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

Liangyuan Xu, Feifei Gao

Integrated sensing and communications (ISAC) has attracted tremendous attention for the future 6G wireless communication systems. To improve the transmission rates and sensing accu…

eess.SP2021

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

Liangyuan Xu, Feifei Gao, Ting Zhou +2

Millimeter wave (mmWave) multi-user massive multi-input multi-output (MIMO) is a promising technique for the next generation communication systems. However, the hardware cost and p…

eess.SP2021★ 15 cited

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

Liangyuan Xu, Feifei Gao, Wei Zhang +1

Multi-input multi-output orthogonal frequency division multiplexing (MIMO OFDM) is a key technology for mobile communication systems. However, due to the issue of high peak-to-aver…

eess.SP2019★ 3 cited

Gridless Angular Domain Channel Estimation for mmWave Massive MIMO System With One-Bit Quantization Via Approximate Message Passing

Liangyuan Xu, Feifei Gao, Cheng Qian

We develop a direction of arrival (DoA) and channel estimation algorithm for the one-bit quantized millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) system. By…

eess.SP2019★ 67 cited

On the Uplink Achievable Rate of Massive MIMO System With Low-Resolution ADC and RF Impairments

Liangyuan Xu, Xintong Lu, Shi Jin +2

This paper considers channel estimation and uplink achievable rate of the coarsely quantized massive multiple-input multiple-output (MIMO) system with radio frequency (RF) impairme…