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S. A. Vorobyov

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Sep 2026

Multi-Modal Sensing-Assisted Cross-Environment Beam Prediction Towards 6G

Multi-modal sensing has demonstrated remarkable efficacy for intra-site beam prediction. However, generalizing trained models to unseen environments remains a significant challenge, primarily due to the inherent environment-specific wireless propagation characteristics. Existing cross-environment works rely on either r...

Lei Wang, Chang-Yi Li, Kai Dong et al. · 0 citations
Open access Sep 2026

A Majorization-Minimization Framework for Activity Detection in Mixed Near-and-Far-Field Random Access

Grant-free random access in massive machine-type communications requires detecting a small active set from length-<inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula> uplink pilots received at an <inline-formula> <tex-math notation="LaTeX">$M$ </tex-math></inline-formula>-antenna base station. C...

Xin-Jue Wang, Zhi-Yong Wang, S. A. Vorobyov et al. · 0 citations
Preprint Sep 2026

Compressed LLM Reprogramming for Vision-Aided Beam Prediction in Vehicular Networks

Large Language Model (LLM) reprogramming-based beam prediction demonstrates strong data efficiency by adapting pretrained language models for vehicle-to-infrastructure (V2I) beam prediction, yet the resulting model complexity makes such approaches impractical for latency-sensitive deployment. We propose LLMBP-Lite, a c...

Kai Dong, Lei Wang, Chang-Yi Li et al. · 0 citations
Open access 2026

Energy-Efficient Beamforming and Adaptive Computational Task Offloading in ISCC Systems

A nonconvex energy cost minimization problem is introduced by considering a user-specific energy cost ratio coefficient that explicitly balances UE-AP energy consumption according to heterogeneous device energy states and a double-loop framework combining successive convex approximation and alternating direction method...

Kai Dong, Lei Wang, S. Vorobyov et al. · 0 citations

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