works on

From the 2 of 28 linked papers with an AI index.

activity
20242026
collaborators

28 papers

eess.SP2026

New Mid-Band (FR3, 6-24 GHz) XL-MIMO for 6G: Channel Modeling, Algorithm Evaluation, and Field Trials

Haiyang Miao, Jianhua Zhang, Feifei Gao +7

The new mid-band (FR3, 6-24 GHz) spectrum is expected to play an important role in future 6G networks by providing a favorable balance among coverage, capacity, and deployment feas…

eess.SP2026

MVLA-GR: A Phase-Free Multipath-Based Geometry Reconstruction Method via Multi-View Likelihood Accumulation for ISAC

Bowei Xing, Yuxiang Zhang, Jianhua Zhang +4

The paper introduces MVLA-GR, a phase‑free method that reconstructs object geometry for integrated sensing and communication by accumulating delay and power information from multip…

eess.SP2026

DeepRT Engine: A Unified GPU-Parallel Ray-Tracing Framework with Hybrid SBR-IM Path Search for 6G Digital Twin Channel

Tao Wu, Li Yu, Yuxiang Zhang +3

The paper introduces DeepRT Engine, a GPU-parallel ray‑tracing framework that speeds up the creation of real‑time digital twin wireless channels by using a three‑stage pipeline wit…

eess.SP2026

WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models

Yinyin Jiao, Huixin Xu, Jianhua Zhang +7

As sixth-generation wireless systems evolve from reliable connectivity toward environment intelligence, wireless world models aim to learn how physical environments and user states…

eess.SP2026

ChannelAgent-Empowered Electromagnetic Space World Model: A Case Study on Agent-Driven Channel Generation for 6G AI-Native Air Interface

Mingyue Li, Li Yu, Yuxiang Zhang +4

As sixth-generation (6G) wireless networks evolve toward increasingly heterogeneous scenarios, tasks, and service requirements, conventional artificial intelligence (AI) models rem…

eess.SP2026

Paradigm Shift from Statistical Channel Modeling to Digital Twin Prediction: An Environment-Generalizable ChannelLM for 6G AI-enabled Air Interface

Yichen Cai, Yuelong Qiu, Jianhua Zhang +4

As 6G advances, ubiquitous connectivity and higher capacity requirements of the air interface pose substantial challenges for accurate and real-time wireless channel acquisition in…