Xueqing Zhou

ORCID: 0009-0003-6051-8610
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About
Contact & Profiles
Research Areas
  • Cooperative Communication and Network Coding
  • Advanced Data and IoT Technologies
  • Software-Defined Networks and 5G
  • HVDC Systems and Fault Protection
  • Network Traffic and Congestion Control
  • Optimal Power Flow Distribution
  • Electric Power System Optimization
  • Silicon Carbide Semiconductor Technologies
  • Advanced Neural Network Applications
  • Advanced Computing and Algorithms
  • IoT and Edge/Fog Computing
  • Integrated Energy Systems Optimization
  • Wireless Networks and Protocols
  • Infrastructure Maintenance and Monitoring
  • Smart Grid Security and Resilience

University of Bristol
2023-2025

Integrating mobile networks with Non-3GPP provides a promising solution to mitigate the wireless RF spectrum scarcity. Despite maturity of integration technologies, comprehensive approach for radio resource allocation in highly dynamic and complex multiple Radio Access Technologies (multi-RAT) is still lacking. To tackle this challenge, paper proposes an Traffic Management (ATM) system that enhances during access, transmission, handover processes. The features scalable concise ATM-supported...

10.1109/pimrc56721.2023.10293786 article EN 2023-09-05

New energy which is low-cost, clean and environmentally-friendly has been widely used due to the rapid increase of demand environmental pollution caused by traditional fossil energy. However, volatility, randomness intermittence distributed bring great challenges power system. This paper proposed a multi-scenarios decentralized coordination method multi-regional interconnected system with wind power, can achieve purpose coordinated consumption in grid. Firstly, economic dispatch model...

10.1109/ciced50259.2021.9556738 article EN 2022 China International Conference on Electricity Distribution (CICED) 2021-04-07

Abstract The paper aims at the problems of high occupancy rate communication resources and heavy server load caused by image data taken during inspection substation sent to remote for processing. An edge intelligent processing architecture is constructed, an insulator defect detection model based on transfer learning YOLO v5 proposed. can meet training a small sample network in case scarcity power equipment data. proposed algorithm compared with typical target algorithms, experimental...

10.1088/1742-6596/2496/1/012029 article EN Journal of Physics Conference Series 2023-05-01

Multi-access edge computing provides local resources in mobile networks as the essential means for meeting demands of emerging ultra-reliable low-latency communications. At edge, dynamic requests require advanced resource management adaptive network slicing, including allocations, function scaling and load balancing to utilize only necessary resource-constraint networks. Recent solutions are designed a static number slices. Therefore, painful process optimization is required again with any...

10.48550/arxiv.2310.17523 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Abstract In order to provide more accurate and consistent reference current for power system under different loads, the constant performance of high-current amplifier is studied. This paper presents a circuit topology suitable circuits, analyses key factors that affect its characteristics. It found resistance matching plays decisive role in Through quantitative analysis verification, boundary conditions output specified accuracy are also found. Then based on Monte Carlo worst-case analysis,...

10.1088/1755-1315/617/1/012042 article EN IOP Conference Series Earth and Environmental Science 2020-12-01
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