All Outputs (10)

Protecting privacy in microgrids using federated learning and deep reinforcement learning (2022)
Conference Proceeding
Chen, W., Sun, H., Jiang, J., You, M., & Piper, W. J. (2022). Protecting privacy in microgrids using federated learning and deep reinforcement learning.

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.

Graph Neural Network Based Beamforming in D2D Wireless Networks (2021)
Conference Proceeding
Chen, T., You, M., Zheng, G., & Lambotharan, S. (2021). Graph Neural Network Based Beamforming in D2D Wireless Networks. In WSA 2021: 25th International ITG Workshop on Smart Antennas : 10-21 November, 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.

A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming (2021)
Conference Proceeding
You, M., Zheng, G., & Sun, H. (2021). A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming. . https://doi.org/10.1109/ICC42927.2021.9500736

This paper studies the long-standing problem of outage-constrained robust downlink beamforming in multi-user multi-antenna wireless communications systems. State of the art solutions have very high computational complexity which poses a major challen... Read More about A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming.

Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field (2019)
Conference Proceeding
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)
Conference Proceeding
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.

A Cognitive Radio Enabled Smart Grid Testbed Based on Software Defined Radio and Real Time Digital Simulator (2018)
Conference Proceeding
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)
Conference Proceeding
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.

L-Index Sensitivity Based Voltage Stability Enhancement (2017)
Conference Proceeding
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.

Realising energy-aware communication over fading channels under QoS constraints (2016)
Conference Proceeding
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 capacity analysis of smart grid communication networks (2015)
Conference Proceeding
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.