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Efficient Joint Precoding Design for Wideband Intelligent Reflecting Surface-Assisted Cell-Free Network

Autor: Wang, Yajun, Jiang, Jinghan, Du, Xin, Lian, Zhuxian, Wu, Qingqing, Chen, Wen

In this paper, we propose an efficient joint precoding design method to maximize the weighted sum-rate in wideband intelligent reflecting surface (IRS)-assisted cell-free networks by jointly optimizing the active beamforming of base stations and the

Externí odkaz: http://arxiv.org/abs/2412.05623

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Localized subspace iteration methods for elliptic multiscale problems

Autor: Guan, Xiaofei, Jiang, Lijian, Wang, Yajun, Yang, Zihao

This paper proposes localized subspace iteration (LSI) methods to construct generalized finite element basis functions for elliptic problems with multiscale coefficients. The key components of the proposed method consist of the localization of the or

Externí odkaz: http://arxiv.org/abs/2406.09789

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A semi-implicit stochastic multiscale method for radiative heat transfer problem

Autor: Zhang, Shan, Wang, Yajun, Guan, Xiaofei

In this paper, we propose and analyze a new semi-implicit stochastic multiscale method for the radiative heat transfer problem with additive noise fluctuation in composite materials. In the proposed method, the strong nonlinearity term induced by hea

Externí odkaz: http://arxiv.org/abs/2406.09775

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Regularized coupling multiscale method for thermomechanical coupled problems

Autor: Guan, Xiaofei, Jiang, Lijian, Wang, Yajun

Publikováno v: Journal of Computational Physics (2023): 112737

The coupling effects in multiphysics processes are often neglected in designing multiscale methods. The coupling may be described by a non-positive definite operator, which in turn brings significant challenges in multiscale simulations. In the paper

Externí odkaz: http://arxiv.org/abs/2302.01674

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