All Outputs (35)

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. (2024). Smart Wireless Environment Enhanced Telecommunications: An Industrial Review on Network Stabilisation. IEEE Network, 1-1. 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, 2024(1), 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.

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.

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. Paper presented at 2022 EuCNC & 6G Summit, Grenoble, France & online

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.

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.

Model-driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information (2021)
Journal Article
Zhang, J., You, M., Zheng, G., Krikidis, I., & Zhao, L. (2022). Model-driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information. IEEE Transactions on Wireless Communications, 21(4), 2368-2382. https://doi.org/10.1109/twc.2021.3111843

Accurate downlink channel information is crucial to the beamforming design, but it is difficult to obtain in practice. This paper investigates a deep learning-based optimization approach of the downlink beamforming to maximize the system sum rate, wh... Read More about Model-driven Learning for Generic MIMO Downlink Beamforming With Uplink Channel Information.

A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks (2021)
Journal Article
Chen, T., Zhang, X., You, M., Zheng, G., & Lambotharan, S. (2022). A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks. IEEE Internet of Things Journal, 9(3), 1712-1724. https://doi.org/10.1109/JIOT.2021.3091551

The Internet of Things (IoT) allows physical devices to be connected over the wireless networks. Although device-to-device (D2D) communication has emerged as a promising technology for IoT, the conventional solutions for D2D resource allocation are u... Read More about A GNN-Based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks.

Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks (2021)
Journal Article
You, M., Zheng, G., Chen, T., Sun, H., & Chen, K.-C. (2021). Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks. IEEE Transactions on Wireless Communications, 20(6), 3723-3733. https://doi.org/10.1109/twc.2021.3053155

In the Fog Radio Access Networks (F-RANs), the local storage and computing capability of Fog Access Points (FAPs) provide new communication resources to address the latency and computing constraints for delay-sensitive applications. To achieve the ul... Read More about Delay Guaranteed Joint User Association and Channel Allocation for Fog Radio Access Networks.

A Versatile Software Defined Smart Grid Testbed: Artificial Intelligence Enhanced Real-Time Co-Evaluation of ICT Systems and Power Systems (2020)
Journal Article
You, M., Zhang, X., Zheng, G., Jiang, J., & Sun, H. (2020). A Versatile Software Defined Smart Grid Testbed: Artificial Intelligence Enhanced Real-Time Co-Evaluation of ICT Systems and Power Systems. IEEE Access, 8, 88651-88663. https://doi.org/10.1109/access.2020.2992906

In Smart Grid, the integration of Information and Communications Technology (ICT) systems and power systems has enabled real-time services and distributed controls, while the fusion of technologies necessitates a profound and versatile platform for t... Read More about A Versatile Software Defined Smart Grid Testbed: Artificial Intelligence Enhanced Real-Time Co-Evaluation of ICT Systems and Power Systems.

Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration (2020)
Journal Article
Zhang, J., Xia, W., You, M., Zheng, G., Lambotharan, S., & Wong, K.-K. (2020). Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration. IEEE Transactions on Wireless Communications, 19(6), 3738-3752. https://doi.org/10.1109/twc.2020.2977340

This paper studies fast downlink beamforming algorithms using deep learning in multiuser multiple-input-single-output systems where each transmit antenna at the base station has its own power constraint. We focus on the signal-to-interference-plus-no... Read More about Deep Learning Enabled Optimization of Downlink Beamforming Under Per-Antenna Power Constraints: Algorithms and Experimental Demonstration.

On statistical power grid observability under communication constraints (invited paper) (2018)
Journal Article
You, M., Jiang, J., Tonello, A. M., Doukoglou, T., & Sun, H. (2018). On statistical power grid observability under communication constraints (invited paper). IET Smart Grid, 1(2), 40-47. https://doi.org/10.1049/iet-stg.2018.0009

Phasor Measurement Units (PMUs) have enabled real-time power grid monitoring and control applications realizing an integrated power grid and communication system. The communication network formed by PMUs has strict latency requirements. If PMU measur... Read More about On statistical power grid observability under communication constraints (invited paper).

New communication strategy for spectrum sharing enabled smart grid cyber‐physical system (2017)
Journal Article
You, M., Liu, Q., & Sun, H. (2017). New communication strategy for spectrum sharing enabled smart grid cyber‐physical system. IET Cyber-Physical Systems: Theory & Applications, 2(3), 136-142. https://doi.org/10.1049/iet-cps.2017.0051

Smart grid cyber-physical system (CPS) exploits various physical components to provide better knowledge and delicate control of the power grid, while the huge data volume is transmitted via the integration of advanced communication technologies. To p... Read More about New communication strategy for spectrum sharing enabled smart grid cyber‐physical system.

Unified Framework for the Effective Rate Analysis of Wireless Communication Systems Over MISO Fading Channels (2016)
Journal Article
You, M., Sun, H., Jiang, J., & Zhang, J. (2017). Unified Framework for the Effective Rate Analysis of Wireless Communication Systems Over MISO Fading Channels. IEEE Transactions on Communications, 65(4), 1775-1785. https://doi.org/10.1109/tcomm.2016.2638901

This paper proposes a unified framework for the effective rate analysis over arbitrary correlated and not necessarily identical multiple-input single-output (MISO) fading channels, which uses the moment generating function (MGF) based approach and H... Read More about Unified Framework for the Effective Rate Analysis of Wireless Communication Systems Over MISO Fading Channels.