Dr MINGLEI YOU's Outputs (38)

Enhanced microgrid reliability through software-defined networking and extended horizon predictive control (2025)
Journal Article
Pérez, R., Rivera, M., Araya, B., S. Gómez, J., Salgueiro, Y., Restrepo, C., Wheeler, P., You, M., & Sumner, M. (2025). Enhanced microgrid reliability through software-defined networking and extended horizon predictive control. Sustainable Energy, Grids and Networks, 42, Article 101635. https://doi.org/10.1016/j.segan.2025.101635

The dynamic nature of power systems combined with the need for low-latency and loss-tolerant communications, presents significant challenges to maintaining system reliability and resiliency. This paper proposes a novel integration of Finite Control S... Read More about Enhanced microgrid reliability through software-defined networking and extended horizon predictive control.

A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response (2025)
Journal Article
Chen, W., Sun, H., You, M., Jiang, J., & Rivera, M. (2025). A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response. Energies, 18(4), Article 833. https://doi.org/10.3390/en18040833

Within smart homes, consumers could generate a vast amount of data that, if analyzed effectively, can improve the convenience of consumers and reduce energy consumption. In this paper, we propose to organize household appliance data into a knowledge... Read More about A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response.

Smart Wireless Environment Enhanced Telecommunications: An Industrial Review on Network Stabilisation (2024)
Journal Article
Zhang, Y., Ziwenjere, K. M., Walker, A., Chen, T., You, M., Burton, F., Gradoni, G., & Zheng, G. (2025). Smart Wireless Environment Enhanced Telecommunications: An Industrial Review on Network Stabilisation. IEEE Network, 39(1), 21-29. https://doi.org/10.1109/MNET.2024.3484573

The 5G wireless network is now part of the critical national infrastructure of developed nations. Wireless network operators must strive to improve performance in order to be competitive, whilst reducing costs in order to be profitable. State-of-the-... Read More about Smart Wireless Environment Enhanced Telecommunications: An Industrial Review on Network Stabilisation.

Channel Estimation Algorithm Based on Spatial Direction Acquisition and Dynamic-Window Expansion in Massive MIMO System (2024)
Journal Article
Li, S., Su, B., Liu, Y., Zhang, J., & You, M. (2024). Channel Estimation Algorithm Based on Spatial Direction Acquisition and Dynamic-Window Expansion in Massive MIMO System. International Journal of Intelligent Systems, https://doi.org/10.1155/2024/7727469

Millimeter-wave (mmWave) and massive multiple-input multiple-output (MIMO) technologies are critical in current and future communication research. They play an essential role in meeting the demands for high-capacity, high-speed, and low-latency commu... Read More about Channel Estimation Algorithm Based on Spatial Direction Acquisition and Dynamic-Window Expansion in Massive MIMO System.

Successive approximation based phase-locked loop (2024)
Presentation / Conference Contribution
Njoroge, E. M., Hidayatullah, N. A., Sumner, M., & You, M. (2024, June). Successive approximation based phase-locked loop. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, UK

Most grid-connected converters are configured in grid following (GFL) mode where they are designed to follow the grid voltage and inject a current specific to the required power. GFL requires phase-locked loops (PLLs) to monitor the phase angle and a... Read More about Successive approximation based phase-locked loop.

An Unsupervised Domain Adaptation-Based Device-Free Sensing Approach for Cross-Weather Target Recognition in Foliage Environments (2024)
Presentation / Conference Contribution
Zhong, Y., Bi, T., Wang, J., You, M., & Jiang, T. (2023, May). An Unsupervised Domain Adaptation-Based Device-Free Sensing Approach for Cross-Weather Target Recognition in Foliage Environments. Presented at 12th International Conference on Communications, Signal Processing, and Systems, Singapore (and online)

In recent years, the emerging technique of device-free sensing (DFS) has gained popularity for foliage penetration (FOPEN) target recognition. This popularity is primarily attributed to its inherent advantage of not requiring specialized sensing equi... Read More about An Unsupervised Domain Adaptation-Based Device-Free Sensing Approach for Cross-Weather Target Recognition in Foliage Environments.

Accurate Action Recommendations and Demand Response for Smart Homes via Knowledge Graphs (2024)
Presentation / Conference Contribution
Chen, W., Sun, H., You, M., & Jiang, J. (2024, March). Accurate Action Recommendations and Demand Response for Smart Homes via Knowledge Graphs. Presented at The 2024 International Conference on Industrial Technology (ICIT), Bristol, UK

Accurate action recommendations can enhance the convenience of daily life, such as automatically turning on the dining area lights during meals or playing music based on residential habits. Generating precise recommendations for the next household de... Read More about Accurate Action Recommendations and Demand Response for Smart Homes via Knowledge Graphs.

Privacy Leakage in Federated Home Applications Using Gradient Inversion Algorithms (2024)
Presentation / Conference Contribution
Chen, W., Sun, H., You, M., & Jiang, J. (2024, March). Privacy Leakage in Federated Home Applications Using Gradient Inversion Algorithms. Presented at 2024 International Conference on Industrial Technology (ICIT), Bristol, UK

With advances in smart metering infrastructure, household electricity metering data are remotely collected, leading to concerns about household privacy leakage. Federated learning is a promising solution because it avoids direct data uploading. Howev... Read More about Privacy Leakage in Federated Home Applications Using Gradient Inversion Algorithms.

Robust gesture recognition method toward intelligent environment using Wi-Fi signals (2024)
Journal Article
Ding, X., Yu, X., Zhong, Y., Xie, W., Cai, B., You, M., & Jiang, T. (2024). Robust gesture recognition method toward intelligent environment using Wi-Fi signals. Measurement, 231, Article 114525. https://doi.org/10.1016/j.measurement.2024.114525

Wi-Fi-based gesture recognition represents an emerging paradigm of human–computer interaction. While deep learning-based and model-based solutions are crucial for improving accuracy and generalization performance, they often depend heavily on extensi... Read More about Robust gesture recognition method toward intelligent environment using Wi-Fi signals.

Extended Horizon Predictive Control for Software Defined Networked Microgrids (2024)
Preprint / Working Paper
Pérez Guzmán, R., Rivera, M., Araya, B., Gόmez, J. S., Salgueiro, Y., Restrepo, C., Wheeler, P., You, M., & Sumner, M. (2024). Extended Horizon Predictive Control for Software Defined Networked Microgrids

This paper presents a model-based predictive control implementation (FCS-MPC) with extended horizon prediction to address the resiliency problem and voltage/frequency deviations for hierarchical microgrids. The proposed framework integrates Software-... Read More about Extended Horizon Predictive Control for Software Defined Networked Microgrids.

Model-Free Optimization and Experimental Validation of RIS-Assisted Wireless Communications Under Rich Multipath Fading (2023)
Journal Article
Chen, T., You, M., Zhang, Y., Zheng, G., Gros, J. B., Lerosey, G., Nasser, Y., Burton, F., & Gradoni, G. (2024). Model-Free Optimization and Experimental Validation of RIS-Assisted Wireless Communications Under Rich Multipath Fading. IEEE Wireless Communications Letters, 13(3), 627-631. https://doi.org/10.1109/lwc.2023.3337709

Reconfigurable intelligent surface (RIS) devices have emerged as an effective way to control the propagation channels for enhancing the end-users' performance. However, RIS optimization involves configuring the radio frequency response of a large num... Read More about Model-Free Optimization and Experimental Validation of RIS-Assisted Wireless Communications Under Rich Multipath Fading.

Blockchain and Artificial Intelligence Technologies for Smart Energy Systems (2023)
Book
Sun, H., Hua, W., & You, M. (2023). Blockchain and Artificial Intelligence Technologies for Smart Energy Systems. Chapman and Hall/CRC. https://doi.org/10.1201/9781003170440

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis. At the same time, we are witnessing the sharp growth of energy data and a revolution of advanced technologies, with artifi... Read More about Blockchain and Artificial Intelligence Technologies for Smart Energy Systems.

Federated Learning Enabled Link Scheduling in D2D Wireless Networks (2023)
Journal Article
Chen, T., Zhang, X., You, M., Zheng, G., & Lambotharan, S. (2024). Federated Learning Enabled Link Scheduling in D2D Wireless Networks. IEEE Wireless Communications Letters, 13(1), 89-92. https://doi.org/10.1109/LWC.2023.3321500

Centralized machine learning methods for device-to-device (D2D) link scheduling may lead to a computing burden for a central server, transmission latency for decisions, and privacy issues for D2D communications. To mitigate these challenges, a federa... Read More about Federated Learning Enabled Link Scheduling in D2D Wireless Networks.

Combinatorial Optimization of Reconfigurable Intelligence Surfaces at Wireless Endpoints using the Ising Hamiltonian Model (2023)
Presentation / Conference Contribution
Ross, C., Lim, Q., You, M., Gradoni, G., & Peng, Z. (2023, July). Combinatorial Optimization of Reconfigurable Intelligence Surfaces at Wireless Endpoints using the Ising Hamiltonian Model. Presented at IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (2023), Portland, Oregon, USA

The reconfigurable intelligent surface (RIS) based on discrete meta-surfaces with tunable elements has been widely studied in wireless communication and electromagnetics communities. Researchers have devoted substantial efforts to investigating large... Read More about Combinatorial Optimization of Reconfigurable Intelligence Surfaces at Wireless Endpoints using the Ising Hamiltonian Model.

Protecting privacy in microgrids using federated learning and deep reinforcement learning (2022)
Presentation / Conference Contribution
Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. J. (2022, November). Protecting privacy in microgrids using federated learning and deep reinforcement learning. Presented at 12th IET International Conference on Advances in Power System Control, Operation and Management, Hyatt Regency Tsim Sha Tsui, Hong Kong and Online

This paper aims to improve the energy management efficiency of home microgrids while preserving privacy. The proposed microgrid model includes energy storage systems, PV panels, loads, and the connection to the main grid. A federated multi-objective... Read More about Protecting privacy in microgrids using federated learning and deep reinforcement learning.

Towards Distributed Cell-less MIMO Testbed: An RFNoC Implementation (2022)
Presentation / Conference Contribution
You, M., Chen, T., & Zheng, G. (2022, June). Towards Distributed Cell-less MIMO Testbed: An RFNoC Implementation. Presented at 2022 EuCNC & 6G Summit, Grenoble, France

In this extended abstract, we will present a novel cell-less multiple-input multiple-output (MIMO) testbed design and an initial implementation based on the design. The key objective is to design a flexible and scalable architecture to facilitate the... Read More about Towards Distributed Cell-less MIMO Testbed: An RFNoC Implementation.

Downlink Cell-Free Fixed Wireless Access: Architectures, Physical Realities and Research Opportunities (2022)
Journal Article
Zhang, Y., You, M., Zheng, G., Rawi, A. A., & Tukmanov, A. (2023). Downlink Cell-Free Fixed Wireless Access: Architectures, Physical Realities and Research Opportunities. IEEE Wireless Communications, 30(2), 155-162. https://doi.org/10.1109/MWC.014.2100672

Recently a new paradigm of wireless access, termed as cell-free massive multiple-input multiple-output (MIMO), has drawn significant research interest. Its primary distinction from conventional massive MIMO aided cellular networks is the ability to e... Read More about Downlink Cell-Free Fixed Wireless Access: Architectures, Physical Realities and Research Opportunities.

Design and Analysis of SWIPT With Safety Constraints (2021)
Journal Article
Psomas, C., You, M., Liang, K., Zheng, G., & Krikidis, I. (2022). Design and Analysis of SWIPT With Safety Constraints. Proceedings of the IEEE, 110(1), 107-126. https://doi.org/10.1109/jproc.2021.3130084

Simultaneous wireless information and power transfer (SWIPT) has long been proposed as a key solution for charging and communicating with low-cost and low-power devices. However, the employment of radio frequency (RF) signals for information/power tr... Read More about Design and Analysis of SWIPT With Safety Constraints.

Graph Neural Network Based Beamforming in D2D Wireless Networks (2021)
Presentation / Conference Contribution
Chen, T., You, M., Zheng, G., & Lambotharan, S. (2021, November). Graph Neural Network Based Beamforming in D2D Wireless Networks. Presented at 25th International ITG Workshop on Smart Antennas (WSA 2021), Eurecom, French Riviera

An unsupervised graph neural network (GNN) approach is proposed to solve the beamforming design problem in device-to-device (D2D) wireless networks. Instead of directly learning the beamforming, the GNN is utilized to learn primal power and dual vari... Read More about Graph Neural Network Based Beamforming in D2D Wireless Networks.

Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties (2021)
Journal Article
You, M., Wang, Q., Sun, H., Castro, I., & Jiang, J. (2022). Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties. Applied Energy, 305, Article 117899. https://doi.org/10.1016/j.apenergy.2021.117899

By constructing digital twins (DT) of an integrated energy system (IES), one can benefit from DT’s predictive capabilities to improve coordinations among various energy converters, hence enhancing energy efficiency, cost savings and carbon emission r... Read More about Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties.