All Outputs (34)

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.

Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field (2019)
Presentation / Conference Contribution
Hua, W., You, M., & Sun, H. (2019). Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field. In 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops) (204-209). https://doi.org/10.1109/iccchinaw.2019.8849941

Energy hub scheduling plays a vital role in optimally integrating multiple energy vectors, e.g., electricity and gas, to meet both heat and electricity demand. A scalable scheduling model is needed to adapt to various energy sources and operating con... Read More about Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field.

Energy Hub Scheduling Method with Voltage Stability Considerations (2019)
Presentation / Conference Contribution
You, M., Hua, W., Shahbazi, M., & Sun, H. (2019). Energy Hub Scheduling Method with Voltage Stability Considerations. In 2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops) (196-200). https://doi.org/10.1109/iccchinaw.2018.8674468

Energy Hub is expected to be one of the most effective methods to address the integrated system with multiple energy carriers. In this work, an Energy Hub scheduling method is proposed, which could not only meet various energy load demands but also a... Read More about Energy Hub Scheduling Method with Voltage Stability Considerations.

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).

A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator (2018)
Presentation / Conference Contribution
You, M., Liu, Q., & Sun, H. (2018). A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator. In 2018 IEEE International Conference on Communications Workshops (ICC Workshops). https://doi.org/10.1109/iccw.2018.8403790

With the development of Smart Grid, there is an increasing need for the inter discipline research, analysis and evaluation, especially in the joint research area of communication system and power system. In this paper, we propose a Cognitive Radio en... Read More about A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator.

Power grid observability redundancy analysis under communication constraints (2017)
Presentation / Conference Contribution
You, M., Liu, Q., Jiang, J., & Sun, H. (2017). Power grid observability redundancy analysis under communication constraints. In 2017 IEEE/CIC International Conference on Communications in China (ICCC). https://doi.org/10.1109/iccchina.2017.8330320

The Phasor Measurement Units (PMUs) have largely empowered the current and future smart grid applications, which play important roles in both power systems and Information and Communication Technology (ICT) systems within smart grid. They can provide... Read More about Power grid observability redundancy analysis under communication constraints.

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.

L-Index Sensitivity Based Voltage Stability Enhancement (2017)
Presentation / Conference Contribution
Liu, Q., You, M., Sun, H., & Matthews, P. (2017). L-Index Sensitivity Based Voltage Stability Enhancement. . https://doi.org/10.1109/vtcspring.2017.8108627

Voltage stability is a long standing issue in power systems. Due to the requirements of on-line monitoring and high computation efficiency, L-index is used as voltage stability metric in this paper. We propose a novel L-index sensitivity based contro... Read More about L-Index Sensitivity Based Voltage Stability Enhancement.

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.

Realising energy-aware communication over fading channels under QoS constraints (2016)
Presentation / Conference Contribution
You, M., & Sun, H. (2016). Realising energy-aware communication over fading channels under QoS constraints. In 2016 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB). https://doi.org/10.1109/ICUWB.2016.7790378

There exists a trade-off between energy consumption and spectral efficiency in wireless communication systems under quality of service (QoS) constraints. This paper studies the use of effective capacity theory to characterise the maximum supported ch... Read More about Realising energy-aware communication over fading channels under QoS constraints.

Effective Rate Analysis in Weibull Fading Channels (2016)
Journal Article
You, M., Sun, H., Jiang, J., & Zhang, J. (2016). Effective Rate Analysis in Weibull Fading Channels. IEEE Wireless Communications Letters, 5(4), 340-343. https://doi.org/10.1109/lwc.2016.2558179

Recently, the theory of effective rate has attracted much attention, since it can take the delay aspect into account when performing channel capacity analysis. Weibull fading model is a flexible and practical model for describing fading channels in b... Read More about Effective Rate Analysis in Weibull Fading Channels.

Effective capacity analysis of smart grid communication networks (2015)
Presentation / Conference Contribution
You, M., Mou, X., & Sun, H. (2015). Effective capacity analysis of smart grid communication networks. . https://doi.org/10.1109/camad.2015.7390508

Smart grid represents a significant new technology of improving the efficiency, reliability and economics of the production, transmission and distribution of electricity that helps reduce carbon emissions. Communication networks become a key to achie... Read More about Effective capacity analysis of smart grid communication networks.

New method for target identification in a foliage environment using selected bispectra and chaos particle swarm optimisation‐based support vector machine (2014)
Journal Article
You, M., & Jiang, T. (2014). New method for target identification in a foliage environment using selected bispectra and chaos particle swarm optimisation‐based support vector machine. IET Signal Processing, 8(1), 76-84. https://doi.org/10.1049/iet-spr.2012.0389

In this study, a novel method for target identification in a foliage environment is presented. This method is based on the ultra wideband (UWB) wireless sensor networks (WSNs) model, and the foliage environment is specially considered. The data used... Read More about New method for target identification in a foliage environment using selected bispectra and chaos particle swarm optimisation‐based support vector machine.