Scientific Research Personnel at China Telecom Beijing Research Institute, China📖
Zhiwei Si is a dedicated researcher specializing in wireless communications, 5G/6G networks, and resource allocation. He is currently a scientific research personnel at the 6G Research Centre, China Telecom Beijing Research Institute. With a strong academic background in information and communication engineering, he has made significant contributions to ultra-dense networks, UAV communications, and millimeter-wave technologies. His research focuses on optimizing network efficiency, energy consumption, and backhaul bandwidth allocation.
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Education Background🎓
- Ph.D. in Information and Communication Engineering, Beijing University of Posts and Telecommunications (BUPT), China (2017–2023)
- Mathematics Studies, Beijing University of Posts and Telecommunications (2016–2017)
- B.Sc. in Applied Mathematics, Shandong University of Science and Technology (SDUST), China (2012–2016)
Professional Experience🌱
Zhiwei Si has been contributing to cutting-edge research at the 6G Research Centre, China Telecom Beijing Research Institute since 2023. He has been involved in key national projects, including the development of 5G high-speed wide-area coverage technology and next-generation broadband wireless mobile communication networks. His experience spans industry collaborations with companies such as Huawei and Beacon Technology, where he worked on simulation platforms for LTE-R/M systems and base station antenna optimization. His technical expertise includes C/C++, Python, Latex, and MATLAB for network simulations and algorithm development.
Her research interests include:
- 6G Networks and Wireless Communications
- Ultra-Dense Networks and mmWave Communications
- User Association and Resource Allocation
- UAV-Based Network Optimization
- AI-Driven Wireless Network Solutions
Author Metrics
Publications Top Notes 📄
1. Energy-Efficient Joint User Association, Backhaul Bandwidth Allocation, and Power Allocation in Cell-Free mmWave UAV Networks
- Authors: Zhiwei Si, Zheng Jiang, Kaisa Zhang, Qian Liu, Jianchi Zhu, Xiaoming She, Peng Chen
- Journal: Drones
- Volume/Issue: 9(2), 88
- Publication Year: 2023
- Summary: This paper explores an energy-efficient framework for joint user association, backhaul bandwidth allocation, and power allocation in cell-free mmWave UAV networks. The proposed method optimizes system efficiency while maintaining service quality.
2. Backhaul Capacity-Limited Joint User Association and Power Allocation Scheme in Ultra-Dense Millimeter-Wave Networks
- Authors: Zhiwei Si, Gang Chuai, Kaisa Zhang, Weidong Gao, Xiangyu Chen, Xuewen Liu
- Journal: Entropy
- Volume/Issue: 25(3), 409
- Publication Year: 2023
- Summary: This study proposes a user association and power allocation scheme in ultra-dense mmWave networks with backhaul capacity constraints. It employs optimization techniques to improve resource allocation while considering network limitations.
3. A QoS-Based Joint User Association and Resource Allocation Scheme in Ultra-Dense Networks
- Authors: Zhiwei Si, Gang Chuai, Weidong Gao, Jinxi Zhang, Xiangyu Chen, Kaisa Zhang
- Journal: EURASIP Journal on Wireless Communications and Networking
- Volume/Issue: 2020(1), 2
- Publication Year: 2020
- Summary: The paper presents a novel Quality of Service (QoS)-based joint user association and resource allocation strategy for ultra-dense networks, aiming to enhance user experience and system performance.
4. A Low-Complexity Algorithm for the Joint Antenna Selection and User Scheduling in Multi-Cell Multi-User Downlink Massive MIMO Systems
- Authors: Maimaiti, S., Gang Chuai, Weidong Gao, Xuewen Liu, Zhiwei Si
- Journal: EURASIP Journal on Wireless Communications and Networking
- Volume/Issue: 2019(1), 208
- Publication Year: 2019
- Summary: This research develops a low-complexity algorithm to jointly optimize antenna selection and user scheduling in multi-cell multi-user massive MIMO downlink networks.
5. A New Method for Traffic Forecasting in Urban Wireless Communication Network
- Authors: Kaisa Zhang, Gang Chuai, Weidong Gao, Maimaiti S., Zhiwei Si
- Journal: EURASIP Journal on Wireless Communications and Networking
- Volume/Issue: 2019(1), 66
- Publication Year: 2019
- Summary: A traffic forecasting model for urban wireless networks based on deep learning techniques, providing insights into network planning and optimization.
6. DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing
- Authors: Kaisa Zhang, Gang Chuai, Zhang J., Zhiwei Si, Maimaiti S.
- Journal: Remote Sensing
- Volume/Issue: 14(6), 1439
- Publication Year: 2022
- Summary: This paper introduces a hybrid prediction framework combining causal structure learning and machine learning models to improve cellular traffic forecasting for urban applications.
Conclusion
Dr. Zhiwei Si is a highly deserving candidate for the Best Researcher Award in Communication Engineering. His cutting-edge work in 5G/6G, UAV networks, and mmWave communications, coupled with strong academic and industry collaborations, makes him an outstanding researcher in wireless communications. Strengthening his research impact through patents, mentorship, and global collaborations would further solidify his position as a leader in the field.