output
19982026
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations

Showing 2026 · eess.SPShow all

5 papers · 2 filters

eess.SP2026

Sensing the Variation of Wireless Propagation Environment Based on Channel Knowledge Map

Haohan Li, Wence Zhang, Xiaoyan Shao +3

With the evolution of sixth-generation (6G) wireless systems, integrated sensing and communication (ISAC) has raised the demand for high-precision environmental perception. To addr…

eess.SP2026

Holographic MIMO-assisted Multiuser Transmission with Electromagnetic Exposure Constraints

Yilin Yang, Mengyu Qian, Ahmed Elzanaty +1

Holographic multiple-input multiple-output (HMIMO) has emerged as a promising technology for future wireless systems by enabling continuous electromagnetic (EM) field control over…

eess.SP2026

Channel Charting With Physical Channel Fingerprints For Massive MIMO-OFDM Channel Acquisition

Jinke Tang, Xiqi Gao, Li You +2

The advancement of 6G mobile communication and positioning technologies has amplified the significance of location-aware tools, such as location-indexed channel fingerprints (CFs)…

eess.SP2026

RNet: 2D Deep Residual Learning with Height Embedding for 3D Radio Map Estimation

Huiting Rao, Junyuan Wang, Huiling Zhu +1

Acquiring channel knowledge is required by many applications. For instance, handover in cellular networks is mainly decided based on the knowledge of pathloss. In contrast to tradi…

eess.SP2026★ 5 cited

A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model

Tianrun Qi, Cheng-Xiang Wang, Chen Huang +4

In the sixth generation (6G) wireless communication networks, the device density, antenna number, and the complexity of communication scenarios will significantly increase, which b…