7 papers
A Foundation Model for Large-Scale Wireless Network Planning , Operation and Optimization
Xinyu Qin, Wenqiang Pu, Hongcheng Dong +6
Wireless cellular networks form the connective tissue of human society, sustained by a continuous physical dialogue between engineered infrastructure and its surroundings. Radio si…
Worst-Case and Covariance-Reconstruction Robust Adaptive Beamforming: Equivalence and Closed-Form Solution
Licheng Zhao, Rui Zhou, Wenqiang Pu +1
Robust adaptive beamforming (RAB) has developed along two separate lines. The worst-case-constrained approach guards against steering vector mismatch with a bounded uncertainty set…
An Efficient and Globally Optimal Algorithm for Nonconvex QCQP with One Equality Constraint
Licheng Zhao, Rui Zhou, Wenqiang Pu
In this paper, we concentrate on a particular category of quadratically constrained quadratic programming (QCQP): nonconvex QCQP with one equality constraint. This type of QCQP pro…
Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach
Tianpeng Pan, Wenqiang Pu, Licheng Zhao +1
Automated optimization modeling (AOM) has evoked considerable interest with the rapid evolution of large language models (LLMs). Existing approaches predominantly rely on prompt en…
Radio Map Estimation via Latent Domain Plug-and-Play Denoising
Le Xu, Lei Cheng, Junting Chen +2
Radio map estimation (RME), also known as spectrum cartography, aims to reconstruct the strength of radio interference across different domains (e.g., space and frequency) from spa…
Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction
Yiyong Sun, Jiajun He, Zhidi Lin +3
Accurate prediction of mmWave time-varying channels is essential for mitigating the issue of channel aging in complex scenarios owing to high user mobility. Existing channel predic…
Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs
Wenqiang Pu, Kaizhao Sun, Jiawei Zhang
This paper introduces a smoothed proximal Lagrangian method for minimizing a nonconvex smooth function over a convex domain with additional explicit convex nonlinear constraints. T…