activity
20172026
most citedModel-Driven Deep Learning for MIMO Detection

467 citations · 824 across the 49 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

eess.SP2023★ 2 cited

Joint Channel Estimation and Cooperative Localization for Near-Field Ultra-Massive MIMO

Ruoxiao Cao, Hengtao He, Xianghao Yu +5

The next-generation wireless networks are envisioned to jointly support high-rate communications and ubiquitous sensing. Ultra-Massive Multiple-Input Multiple-Output (UM-MIMO) offe…

eess.SP2023★ 19 cited

Bayes-Optimal Unsupervised Learning for Channel Estimation in Near-Field Holographic MIMO

Wentao Yu, Hengtao He, Xianghao Yu +4

Holographic MIMO (HMIMO) is being increasingly recognized as a key enabling technology for 6G wireless systems through the deployment of an extremely large number of antennas withi…

eess.SP2023★ 2 cited

Learning Bayes-Optimal Channel Estimation for Holographic MIMO in Unknown EM Environments

Wentao Yu, Hengtao He, Xianghao Yu +4

Holographic MIMO (HMIMO) has recently been recognized as a promising enabler for future 6G systems through the use of an ultra-massive number of antennas in a compact space to expl…

eess.SP2023★ 3 cited

Deep Learning for Near-Field XL-MIMO Transceiver Design: Principles and Techniques

Wentao Yu, Yifan Ma, Hengtao He +3

Massive multiple-input multiple-output (MIMO) has been a critical enabling technology in 5th generation (5G) wireless networks. With the advent of 6G, a natural evolution is to emp…

cs.IT2023★ 1 cited

Model-Driven Sensing-Node Selection and Power Allocation for Tracking Maneuvering Targets in Perceptive Mobile Networks

Lei Xie, Hengtao He, Shenghui Song +1

Maneuvering target tracking will be an important service of future wireless networks to assist innovative applications such as intelligent transportation. However, tracking maneuve…

eess.SP2023★ 2 cited

Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework

Hongru Li, Wentao Yu, Hengtao He +4

Task-oriented communication is an emerging paradigm for next-generation communication networks, which extracts and transmits task-relevant information, instead of raw data, for dow…

cs.IT2023

Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO Systems

Hengtao He, Xianghao Yu, Jun Zhang +2

As one of the core technologies for 5G systems, massive multiple-input multiple-output (MIMO) introduces dramatic capacity improvements along with very high beamforming and spatial…