activity
20202025
most citedDeep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication

12 citations · 26 across the 8 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Channel Estimation and Hybrid Precoding for Massive MIMO-OTFS System With Doubly Squint

Mingming Duan, Pengfei Zhang, Shun Zhang +3

Orthogonal time frequency space (OTFS) modulation and massive multi-input multi-output (MIMO) are promising technologies for next generation wireless communication systems for thei…

eess.SP2025

STAR-RIS Aided Dynamic Scatterers Tracking for Integrated Sensing and Communications

Muye Li, Shun Zhang, Yao Ge +1

Integrated sensing and communication (ISAC) has become an attractive technology for future wireless networks. In this paper, we propose a simultaneous transmission and reflection r…

cs.IT2021

Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO

Shunbo Zhang, Shun Zhang, Jianpeng Ma +2

In a time-varying massive multiple-input multipleoutput (MIMO) system, the acquisition of the downlink channel state information at the base station (BS) is a very challenging task…

eess.SP2021★ 1 cited

Deep Learning Based RIS Channel Extrapolation with Element-grouping

Shunbo Zhang, Shun Zhang, Feifei Gao +2

Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks. In this letter, we consider the acquisition of the…

eess.SP2020★ 12 cited

Deep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication

Shunbo Zhang, Shun Zhang, Feifei Gao +2

To capture the communications gain of the massive radiating elements with low power cost, the conventional reconfigurable intelligent surface (RIS) usually works in passive mode. H…