A5057762557- Advanced MIMO Systems Optimization
- IoT and Edge/Fog Computing
- Millimeter-Wave Propagation and Modeling
- Cooperative Communication and Network Coding
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Advanced Wireless Network Optimization
- Energy Efficient Wireless Sensor Networks
- Age of Information Optimization
- Robotics and Sensor-Based Localization
- Privacy-Preserving Technologies in Data
- Wireless Networks and Protocols
- Network Traffic and Congestion Control
- UAV Applications and Optimization
- Advanced Battery Technologies Research
- Wireless Communication Networks Research
- Blockchain Technology Applications and Security
- High-Voltage Power Transmission Systems
- IoT Networks and Protocols
- Spam and Phishing Detection
- Wireless Body Area Networks
- Distributed Sensor Networks and Detection Algorithms
- HVDC Systems and Fault Protection
- Advanced Graph Neural Networks
- Indoor and Outdoor Localization Technologies
Beijing Normal University - Hong Kong Baptist University United International College
2017-2025
Beijing Normal University
2017-2023
Hong Kong Baptist University
2017-2023
University of Hong Kong
2022
City University of Hong Kong
2013-2022
University of Cambridge
2022
Hainan University
2022
Global Energy Interconnection Research Institute North America
2018-2020
Due to global climate change as well economic concern of network operators, energy consumption the infrastructure cellular networks, or "Green Cellular Networking," has become a popular research topic. While saving can be achieved by adopting renewable resources improving design certain hardware (e.g., power amplifier) make it more energy-efficient, cost purchasing, replacing, and installing new equipment (including manpower, transportation, disruption normal operation, associated direct...
Mobile network operators usually consider power consumption and Grade of Service (GoS) as two important aspects in the design planning modern cellular networks. Base station (BS) sleeping is an effective approach to reduce network, by switching some BSs a low-power "sleep mode" during off-peak traffic hours. In this paper, we model each BS with mechanism M/G/1/K queue vacations, entire such queues, incorporate practical factors sleeping, close-down startup periods additional for activating...
In design and optimization of intensive care unit (ICU) networks, one common practice is to prioritize the treatment for patients higher emergency levels, while ensuring fairness other by guaranteeing a certain Quality Service (QoS) level. One approach realize such priority arrangement bed reservation policy, which designates number last occupied beds in each hospital be exclusively used patient classes. this paper, we propose an that can significantly improve computational efficiency...
In the rapidly evolving field of medical diagnostics, challenge imbalanced datasets, particularly in diabetes classification, calls for innovative solutions. The study introduces DiGAN, a groundbreaking approach that leverages power Generative Adversarial Networks (GAN) to revolutionize data analysis. Marking significant departure from traditional methods, DiGAN applies GANs, typically seen image processing, realm data. This novel application is complemented by integrating unsupervised...
Urban millimeter wave (mmWave) communications are limited by link outage due to frequent blockages obstacles. One approach this problem is increase the density of base stations (BSs) achieve macro diversity gains. Dense BS deployment, however, incurs increased installation cost as well power consumption. In work, we propose a framework for connectivity-constrained minimum mmWave deployment in Manhattan-type geometry (MTG). A closed-form expression network connectivity characterized function...
As the fast growth and large integration of distributed generation, renewable energy resource, storage system, load response, modern power system operation becomes much more complicated with increasing uncertainties frequent changes. Increased risks are introduced to existing commercial management (EMS), due its limited computational capability. In this brief, a high-performance EMS analysis framework based on evolving graph is developed. A grid first modeled as an then dynamic applications,...
Energy efficiency and Quality of Service (QoS) are two important considerations for the design planning cellular networks. One effective approach to handle tradeoff between power consumption QoS is switch some Base Stations (BSs) sleep mode when traffic load low. In this paper, we model each BS as a processor-sharing queue with vacations, investigate performance three sleeping schemes, namely isolated scheme in which switches based on its own load, cooperative allowed overflow from BSs...
Power flow calculation in EMS is required to accommodate large and complex power system. To achieve a faster than real-time calculation, graph based proposed this paper. Graph database computing advantages system calculations are presented. A linear solver for application formulated decomposed nodal parallelism hierarchical fully utilize parallel capability. Comparison of the algorithm with traditional sequential programs shows significant benefits on computation efficiency. Case studies...
While the Poisson point process (PPP) has been widely employed to model user distribution in many network design problems, an existing challenge is that it often reveals inaccuracy small-cell networks. In this paper, instead of employing PPP, we capture randomness equipment (UE) by collecting their realizations. Specifically, focus on millimeter-wave (mmWave) base station (BS) deployment problem urban geometry, based application a scenario sampling approach, previously introduced for...
With rapid development and high penetration of renewable energy, distributed generation, energy storage system, as well the emerging electric vehicles responsive loads, numerous uncertainties are brought into modern power systems. The system robust operation become much more complicated than before. So, there is a urgent demand to develop "faster real time" Energy Management System (EMS) analysis tool using advanced data management technologies. In this paper, EMS time framework based on...
The Erlang loss formula, also known as the B has been for over a century and used in wide range of applications, from telephony to hospital intensive care unit management. It provides blocking probability arriving customers system involving finite number servers without waiting room. Because need introduce priorities many services, an extension formula case with preemptive priority is valuable essential. This paper analytically establishes consistency between global balance (steady state)...
The long-term stable monitoring of brain signals, including electroencephalogram (EEG), electrocorticogram (ECoG) and local field potential (LFP), is great significance for the fundamental research in science, artificial intelligence diagnosis treatment brain-related disorders. Therefore, both non-invasive invasive brain-machine interfaces based on different materials structures have been widely studied due to their unique performance. Among these materials, hydrogels emerged as a promising...
Wireless network slicing is a promising technology for next-generation networks to provide tailored on-demand services mobile users. We consider scheduling policy wireless with the aim maximize energy efficiency of defined as ratio long-run average throughput user requests long- run power consumption. This gives rise problem extremely high computational complexity which prevents direct application conventional optimization techniques. propose scalable priority-based policy, referred Most...
We propose a versatile cross-layer framework to analyze performance metrics for mobile traffic in fifth-generation (5G) millimeter wave (mmWave) networks. Our proposed is based on stochastic geometry, teletraffic models, and the classical Erlang Fixed Point Approximation method, with objective of evaluating blocking probability, mean service time user requests, utilization rate base stations by taking into account practical concerns mmWave networks including blockages encountered mmWaves...
This paper proposes a graph computation based sequential power flow calculation method for Line Commutated Converter (LCC) large-scale AC/DC systems to achieve high computing performance. Based on the theory, complex system is first converted model and stored in database. Then, hybrid divided into several isolated areas with partition algorithm by decoupling AC DC networks. Thus, analysis can be executed parallel each independent area new selected slack buses. Furthermore, area, node-based...
Channel borrowing has been widely adopted in mobile cellular networks as a compromise between fixed channel assignment and dynamic assignment. Various schemes have proposed the literature with their performance, typically terms of blocking probability, obtained by computer simulations. However, analytical approximation methods are much more computationally effective practically useful for performance analysis networks. In this paper, we model overflow loss systems. We present two...
Power flow calculation in EMS is required to accommodate a large and complex power system. To achieve faster than real-time calculation, graph based proposed this paper. Graph database computing advantages system calculations are presented. A linear solver for application formulated decomposed nodal parallelism hierarchical fully utilize parallel capability. Comparison of the algorithm with traditional sequential programs shows significant benefits on computation efficiency. Case studies...