Weijie Xiong

University of Electronic Science and Technology of China

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Jinfeng Hu

University of Electronic Science and Technology of China

Kai Zhong

University of Electronic Science and Technology of China

Jingran Lin

University of Electronic Science and Technology of China

Yuhan Zhang

University of Electronic Science and Technology of China

Weijian Zhang

Hefei University of Technology

Qihang Zhou

University of Electronic Science and Technology of China

Haoming Zhu

University of Electronic Science and Technology of China

Xiaolong Chen

Southwestern University of Finance and Economics

Yingtao Xie

Chengdu University

L. Li

Chinese Academy of Medical Sciences & Peking Union Medical College

Cooperative Institutions

University of Electronic Science and Technology of China

Quzhou University

State Grid Corporation of China (China)

Institute of Information Engineering

Southwestern University of Finance and Economics

Sichuan University

Yibin University

Sichuan Normal University

Boston University

Chengdu University

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Decoupled Online Learning Network Method for Analog Beamforming with Antenna Selection

Weijie Xiong Yuhan Zhang Jingran Lin Kai Zhong Jinfeng Hu

10.1109/ucom62433.2024.10695837

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Citations (0)

MIMO Radar Transmit Waveform Design for Beampattern Matching via Complex Circle Optimization

Remote Sensing (2023)

Weijie Xiong Jinfeng Hu Kai Zhong Yibao Sun Xiangqing Xiao

In this paper, we study the multiple-input multiple-output (MIMO) radar transmit waveform design method for beampattern matching. The purpose is to design the beampattern to approximate the actual one and minimize the cross-correlation sidelobes under the constant modulus constraint (CMC). Due to the CMC, the problem is non-convex, and the existing methods solve it with relaxation, resulting in performance degradation. Different from these methods, we notice that the CMC is the product of complex circles (CC). Based on this physical characteristic, the direct beampattern matching without relaxation (DBMWR) method is proposed. To be specific, we first formulate the original problem as an unconstrained quartic problem over the CC and then solve it by the proposed method without relaxation. Simulation results show that the proposed method can achieve a balance in terms of accuracy and computation complexity compared with other methods.

10.3390/rs15030633

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Citations (2)

Joint Path Planning and Spectrum Allocation for Mobile Users in Uplink Wireless Networks

2022 7th International Conference on Computer and Communication Systems (ICCCS) (2024)

Yuhan Zhang Weijie Xiong Zuhao Zhang Yunhong Xie Jingran Lin

Frequency allocation

10.1109/icccs61882.2024.10603319

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Effects of the information-driven awareness on epidemic spreading on multiplex networks

Chaos An Interdisciplinary Journal of Nonlinear Science (2022)

Jun Wang Weijie Xiong Ruijie Wang Shi‐Min Cai Dié Wu

In this study, we examine the impact of information-driven awareness on the spread of an epidemic from the perspective of resource allocation by comprehensively considering a series of realistic scenarios. A coupled awareness-resource-epidemic model on top of multiplex networks is proposed, and a Microscopic Markov Chain Approach is adopted to study the complex interplay among the processes. Through theoretical analysis, the infection density of the epidemic is predicted precisely, and an approximate epidemic threshold is derived. Combining both numerical calculations and extensive Monte Carlo simulations, the following conclusions are obtained. First, during a pandemic, the more active the resource support between individuals, the more effectively the disease can be controlled; that is, there is a smaller infection density and a larger epidemic threshold. Second, the disease can be better suppressed when individuals with small degrees are preferentially protected. In addition, there is a critical parameter of contact preference at which the effectiveness of disease control is the worst. Third, the inter-layer degree correlation has a "double-edged sword" effect on spreading dynamics. In other words, when there is a relatively lower infection rate, the epidemic threshold can be raised by increasing the positive correlation. By contrast, the infection density can be reduced by increasing the negative correlation. Finally, the infection density decreases when raising the relative weight of the global information, which indicates that global information about the epidemic state is more efficient for disease control than local information.

Epidemic model

10.1063/5.0092031

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Citations (13)

Joint Admission Control and Power Minimization in IRS-assisted Networks

IEEE Communications Letters (2025)

Weijie Xiong Jingran Lin Zhiling Xiao Qiang Li Yuhan Zhang

Joint admission control and power minimization are critical challenges in intelligent reflecting surface (IRS)-assisted networks. Traditional methods often rely on l ₁ -norm approximations and alternating optimization (AO) techniques, which suffer from high computational complexity and lack robust convergence guarantees. To address these limitations, we propose a sigmoid-based approximation of the l ₀ -norm AC indicator, enabling a more efficient and tractable reformulation of the problem. Additionally, we introduce a penalty dual decomposition (PDD) algorithm to jointly optimize beamforming and admission control, ensuring convergence to a stationary solution. This approach reduces computational complexity and supports distributed implementation. Moreover, it outperforms existing methods by achieving lower power consumption, accommodating more users, and reducing computational time.

Minification

10.1109/lcomm.2025.3528041

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Constant Modulus IRS-Assisted Secure Beamforming for Massive MIMO

2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2024)

Weijie Xiong Yuhan Zhang Jingran Lin Kai Zhong Jinfeng Hu

Constant (computer programming)

10.1109/iccworkshops59551.2024.10615593

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SINR maximization in MIMO radars using Riemannian quasi-Newtown optimization

2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) (2021)

Haoming Zhu Qihang Zhou Weijian Zhang Weijie Xiong Jinfeng Hu

This paper focus on the waveform design of multiple-input multiple-output (MIMO) under the practical constraint of constant modulus (CM), aims to maximize the Signal-to-Interference-plus-Noise Ratio (SINR) of radar receiver output in the worst case by radiation nulls generation. Because of the CM constraint, the issue is nonconvex and NP-hard. We find that Limited-memory BFGS algorithm is suitable for solving the quadratic optimization problem and the CM constraint is equal to the feasible set on the complex circle manifold. Numerical results demonstrate that our method is superior to recent comparison methods.

Broyden–Fletcher–Goldfarb–Shanno algorithm

Maximization

Signal-to-interference-plus-noise ratio

10.1109/imcec51613.2021.9482077

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Joint Admission Control and Beamformer Design for Mobile Users: Stay Here or Move to a Better Position?

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Jingran Lin Weijie Xiong Qiang Li Xiangze Kong Yuhan Zhang

In this paper, we study the joint admission control and beamforming problem within a network where one multi-antenna base station tries to serve multiple single-antenna users. Unlike most existing studies which merely identify the users that should be denied, our work further suggest better positions in the neighbouring area for them where the previously-rejected users are allowed to access the network. To address this, we assume the knowledge of channel vectors within the network coverage area, and then jointly optimize the transmit beamformer and the channel vector associated with each user to minimize the network power cost, with a penalty measuring the mismatch between the optimized channel and the reference channel with current user position. Specifically, a non-zero mismatch means that the corresponding user is inadmissible at present, but may access network if moving to the position with the channel closest to the optimized result. Basically, this is a challenging non-convex problem, and we design a penalty dual decomposition (PDD)-based algorithm to iteratively achieve a stationary solution. The algorithm is highly efficient since a simple analytical solution is derived in each step.

Position (finance)

10.1109/icassp48485.2024.10446783

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Constant modulus waveform design for MIMO radar via manifold optimization

Signal Processing (2021)

Jinfeng Hu Weijian Zhang Haoming Zhu Kai Zhong Weijie Xiong

Manifold (fluid mechanics)

10.1016/j.sigpro.2021.108322

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Citations (14)

A lightweight ensemble discriminator for Generative Adversarial Networks