Chengrui Zhou | Wireless Communication | Best Researcher Award Posted on 30/04/202530/04/2025 by sciencefather Mr. Chengrui Zhou | Wireless Communication | Best Researcher Award Chengrui Zhou, School of Information Science and Technology Nantong University Nantong, China Mr. Chengrui Zhou is a highly motivated postgraduate student at the School of Information Science and Technology, Nantong University, China. With a strong passion for cutting-edge wireless communication systems, his research focuses on Simultaneous Wireless Information and Power Transfer (SWIPT), Integrated Sensing and Communications (ISAC), MIMO systems, and optimization theory. Chengrui has already co-authored impactful research articles published in top-tier journals such as IEEE Transactions on Communications and Entropy. His analytical mindset and proficiency in optimization algorithms make him a rising talent in the field of next-generation wireless networks. Through rigorous academic training and collaborative research, he aims to contribute solutions for energy-efficient and intelligent IoT systems. He represents the new wave of researchers who bridge theory with real-world applications. professional profile ORCID Education Chengrui Zhou is currently pursuing his Master of Science (M.S.) degree in Information Science and Technology at Nantong University, Nantong, China. His academic background is rooted in electrical engineering and communication systems, with a growing emphasis on wireless power transfer and green IoT technologies. During his postgraduate studies, he has cultivated a deep interest in emerging technologies such as SWIPT, ISAC, and nonlinear energy harvesting models. His curriculum blends advanced coursework in wireless communication, signal processing, and optimization theory with hands-on research experience. Chengrui is well-versed in scientific computing tools and mathematical modeling, contributing to his ability to solve real-world network design problems. He continues to excel academically while working on forward-looking projects that align with industry demands and global sustainability goals. work Experience While still in academia, Chengrui Zhou has amassed impressive research experience through active collaboration with his peers and professors on various innovative projects. He has contributed to energy efficiency enhancement techniques in wireless-powered cell-free mMIMO systems under hardware impairments and Rician fading conditions. Chengrui has also worked on layered optimization models involving Power Splitting Users (PSUs) and Time Switching Users (TSUs) in IoT networks. His involvement includes applying semi-definite relaxation and successive convex approximation methods for performance optimization. Additionally, he has hands-on experience with simulation platforms like MATLAB and Python for algorithm verification. While he does not yet have formal industrial roles, Chengrui’s research provides real-world relevance and technical rigor akin to industry standards. His consistent engagement in scholarly publication and algorithmic experimentation showcases his growing expertise and adaptability in the ever-evolving field of wireless communications. Research Focus Chengrui Zhou’s research explores energy-efficient wireless communication networks, primarily focusing on SWIPT, ISAC, and MIMO technologies. He specializes in integrating nonlinear energy harvesting models with joint sensing and communication systems, tackling challenges in power allocation, resource optimization, and signal reliability. Chengrui’s work stands at the intersection of communication theory and practical deployment, emphasizing green IoT architectures and hardware-impaired environments. He employs advanced mathematical techniques like semi-definite programming and successive convex approximation to devise optimal solutions that reduce power consumption while enhancing system performance. His work has implications for both academic exploration and real-world applications in smart cities, autonomous systems, and low-power networks. Chengrui continues to refine his algorithms and analytical models, aiming to contribute to the global effort of sustainable wireless connectivity. Conclusion Chengrui Zhou is a highly promising candidate for the Research for Best Researcher Award. Despite being at an early career stage, his achievements surpass typical expectations for a Master’s student. His research addresses pressing technological challenges and introduces innovative solutions with practical relevance. With continued progress in patents and collaboration, he could become a leading figure in next-generation wireless systems research. Publications to Noted 📘 1. Transmit Power Optimization for Simultaneous Wireless Information and Power Transfer-Assisted IoT Networks with Integrated Sensing and Communication and Nonlinear Energy Harvesting Model Journal: Entropy Publication Date: April 24, 2025 Authors: Chengrui Zhou, X. Wang, Y. Dou, X. Chen 📗 2. Energy Efficiency of Wireless-Powered Cell-Free mMIMO With Hardware Impairments Journal: IEEE Transactions on Communications Publication Date: July 2024 Authors: X. Chen, Chengrui Zhou, Z. Wang, T. Zhao, Q. Sun, C. Xu, J. Zhang
Chengrui Zhou is currently pursuing his Master of Science (M.S.) degree in Information Science and Technology at Nantong University, Nantong, China. His academic background is rooted in electrical engineering and communication systems, with a growing emphasis on wireless power transfer and green IoT technologies. During his postgraduate studies, he has cultivated a deep interest in emerging technologies such as SWIPT, ISAC, and nonlinear energy harvesting models. His curriculum blends advanced coursework in wireless communication, signal processing, and optimization theory with hands-on research experience. Chengrui is well-versed in scientific computing tools and mathematical modeling, contributing to his ability to solve real-world network design problems. He continues to excel academically while working on forward-looking projects that align with industry demands and global sustainability goals.
📘 1. Transmit Power Optimization for Simultaneous Wireless Information and Power Transfer-Assisted IoT Networks with Integrated Sensing and Communication and Nonlinear Energy Harvesting Model Journal: Entropy Publication Date: April 24, 2025 Authors: Chengrui Zhou, X. Wang, Y. Dou, X. Chen 📗 2. Energy Efficiency of Wireless-Powered Cell-Free mMIMO With Hardware Impairments Journal: IEEE Transactions on Communications Publication Date: July 2024 Authors: X. Chen, Chengrui Zhou, Z. Wang, T. Zhao, Q. Sun, C. Xu, J. Zhang