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Outputs (34)

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.

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.