activity
20132023
most citedDeep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems

12 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2023

Electromagnetic-Compliant Channel Modeling and Performance Evaluation for Holographic MIMO

Tengjiao Wang, Wei Han, Zhimeng Zhong +4

Recently, the concept of holographic multiple-input multiple-output (MIMO) is emerging as one of the promising technologies beyond massive MIMO. Many challenges need to be addresse…

eess.SP2022

Reconfigurable intelligent surfaces: Channel characterization and modeling

Jie Huang, Cheng-Xiang Wang, Yingzhuo Sun +5

Reconfigurable intelligent surfaces (RISs) are two dimensional (2D) metasurfaces which can intelligently manipulate electromagnetic waves by low-cost near passive reflecting elemen…

cs.IT2019★ 1 cited

FDD Massive MIMO Uplink and Downlink Channel Reciprocity Properties: Full or Partial Reciprocity?

Zhimeng Zhong, Li Fan, Shibin Ge

One challenge for FDD massive MIMO communication system is how to obtain the downlink channel state information (CSI) at the base station. Except for traditional codebook feedback…

cs.IT2019★ 12 cited

Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems

Yuwen Yang, Feifei Gao, Zhimeng Zhong +2

Artificial intelligence (AI) based downlink channel state information (CSI) prediction for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems…

physics.data-an2013★ 2 cited

Extension of ITU IMT-A Channel Models for Elevation Domains and Line-of-Sight Scenarios

Zhimeng Zhong, Xuefeng Yin, Xin Li +1

In this contribution, the 3-dimensional (3D) channel characteristics, particularly in the elevation domains, are extracted through measurements in typical urban macro and micro env…