Zeyuan Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Zeyuan Zhang has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Ning Wei
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
2 shared publications - Yue Xiu
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China
2 shared publications Chadi Assi
Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Quebec, QC, Canada
1 shared publication- Guangyi Liu
China Mobile Research Institute, Beijing, China
1 shared publication - Jiacheng Yin
School of Automobile and Transportation, Xihua University, Chengdu 610039, China
1 shared publication Maurice J. Khabbaz
CMPS Department, American University of Beirut, Beirut, Lebanon
1 shared publication
Latest Publications
- 12 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Wireless Communications Letters
- Vol. 15 (21622337) , 1395-1399
Crosstalk-Resilient Beamforming for Movable Antenna Enabled Integrated Sensing and Communication
This paper investigates a movable antenna (MA)-enabled integrated sensing and communication (ISAC) system under the influence of antenna crosstalk. First, it generalizes the antenna crosstalk model from the conventional fixed-position antenna (FPA) system to MA. Then, a Cramer-Rao bound (CRB) minimization problem driven by joint beamforming and antenna position design is presented. To address the problem, a deep reinforcement learning (DRL) approach, specifically the twin delayed deep deterministic policy gradient (TD3) algorithm is employed to train a flexible beamforming agent. Numerical results show that the proposed crosstalk-resilient (CR) beamforming outperforms other benchmark schemes under antenna crosstalk.
- 12 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Wireless Communications Letters
- Vol. 15 (21622337) , 1395-1399
Crosstalk-Resilient Beamforming for Movable Antenna Enabled Integrated Sensing and Communication
This paper investigates a movable antenna (MA)-enabled integrated sensing and communication (ISAC) system under the influence of antenna crosstalk. First, it generalizes the antenna crosstalk model from the conventional fixed-position antenna (FPA) system to MA. Then, a Cramer-Rao bound (CRB) minimization problem driven by joint beamforming and antenna position design is presented. To address the problem, a deep reinforcement learning (DRL) approach, specifically the twin delayed deep deterministic policy gradient (TD3) algorithm is employed to train a flexible beamforming agent. Numerical results show that the proposed crosstalk-resilient (CR) beamforming outperforms other benchmark schemes under antenna crosstalk.
- 29 December 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Letters
- Vol. 30 (10897798) , 682-686
Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication
This paper investigates a practical partially-connected hybrid beamforming transmitter for integrated sensing and communication (ISAC) with distortion from nonlinear power amplification. For this ISAC system, we formulate a communication rate and sensing mutual information maximization problem driven by our distortion-aware hybrid beamforming design. To address this non-convex problem, we first solve for a fully digital beamforming matrix by alternatively solving three sub-problems using manifold optimization (MO) and our derived closed-form solutions. The analog and digital beamforming matrices are then obtained through a decomposition algorithm. Numerical results demonstrate that the proposed algorithm can improve overall ISAC performance compared to traditional beamforming methods.
- 29 December 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Letters
- Vol. 30 (10897798) , 682-686
Distortion-Aware Hybrid Beamforming for Integrated Sensing and Communication
This paper investigates a practical partially-connected hybrid beamforming transmitter for integrated sensing and communication (ISAC) with distortion from nonlinear power amplification. For this ISAC system, we formulate a communication rate and sensing mutual information maximization problem driven by our distortion-aware hybrid beamforming design. To address this non-convex problem, we first solve for a fully digital beamforming matrix by alternatively solving three sub-problems using manifold optimization (MO) and our derived closed-form solutions. The analog and digital beamforming matrices are then obtained through a decomposition algorithm. Numerical results demonstrate that the proposed algorithm can improve overall ISAC performance compared to traditional beamforming methods.