Dr Xinruo Zhang
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Email
xinruo.zhang@essex.ac.uk -
Location
5A.539, Colchester Campus
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Academic support hours
My Academic Support Hours are 1-2pm on Tuesday (via Zoom) and 1-2pm on Wednesday (in person). The Zoom link for this is available from my profile on my CE155 and CE163 course MOODLE pages. Please wait in the waiting room until I can admit you.
Profile
Biography
Dr. Xinruo Zhang is currently a Lecturer (Assistant Professor) in the School of Computer Science and Electronic Engineering (CSEE), University of Essex. Prior to that, she was a Research Associate with Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University. Her research interests lie in privacy-aware, energy, communication and data-efficient machine learning for wireless communications, V2X, resource management and edge intelligence.
Qualifications
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PhD Telecommunications Research King's College London,
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MSc Satellite Communications Engineering University of Surrey,
Appointments
University of Essex
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Lecturer, Computer Science and Electronic Engineering, University of Essex (2020 - present)
Other academic
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Post-Doctoral Research Associate, Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University (2018 - 2020)
Research and professional activities
Research interests
Radio Resource Management
Beamforming/Precoding, Power control, Spectrum sharing, User scheduling, Edge caching & computing
Machine Learning for Communications
Privacy-aware, energy-, communication- and data-efficient machine learning, including continuous learning, few-shot learning, federated learning, reinforcement learning
Next Generation Wireless Networks
Semantic communications, Cell-free massive MIMO, IoT, V2X, Space-Air-Ground integrated network
Teaching and supervision
Current teaching responsibilities
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Network Fundamentals (CE155)
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Foundations of Electronics I (CE163)
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Network Fundamentals (CE169)
Publications
Journal articles (12)
Chen, T., Zhang, X., You, M., Zheng, G. and Lambotharan, S., (2023). Federated Learning Enabled Link Scheduling in D2D Wireless Networks. IEEE Wireless Communications Letters. 13 (1), 89-92
Chen, T., Zhang, X., You, M., Zheng, G. and 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
Wan Ariffin, WNSF., Zhang, X., Nakhai, MR., Rahim, HA. and Ahmad, RB., (2021). Online Learning Approach for Predictive Real-Time Energy Trading in Cloud-RANs.. Sensors. 21 (7), 2308-2308
Zhang, X., Zheng, G., Lambotharan, S., Nakhai, MR. and Wong, K-K., (2020). A Reinforcement Learning-Based User-Assisted Caching Strategy for Dynamic Content Library in Small Cell Networks. IEEE Transactions on Communications. 68 (6), 3627-3639
Xia, W., Zhang, X., Zheng, G., Zhang, J., Jin, S. and Zhu, H., (2020). The Interplay Between Artificial Intelligence and Fog Radio Access Networks. IEEE China Communications. 17 (8), 1-13
You, M., Zhang, X., Zheng, G., Jiang, J. and 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
Khan, AS., Zhang, X., Lambotharan, S., Zheng, G., AsSadhan, B. and Hanzo, L., (2020). A Machine Learning Aided Blockchain Assisted Framework for Wireless Networks. IEEE Network. 34 (5), 262-268
Zhang, X., Nakhai, MR., Zheng, G., Lambotharan, S. and Chambers, JA., (2019). Distributed Foresighted Energy Management in Smart-Grid-Powered Cellular Networks. IEEE Transactions on Vehicular Technology. 68 (4), 4064-4068
Zhang, X., Nakhai, MR., Zheng, G., Lambotharan, S. and Ottersten, B., (2019). Calibrated Learning for Online Distributed Power Allocation in Small-Cell Networks. IEEE Transactions on Communications. 67 (11), 8124-8136
Wan Ariffin, WNSF., Zhang, X. and Nakhai, MR., (2017). Sparse Beamforming for Real-Time Resource Management and Energy Trading in Green C-RAN. IEEE Transactions on Smart Grid. 8 (4), 2022-2031
Zhang, X., Nakhai, MR. and Wan Ariffin, WNSF., (2017). A Bandit Approach to Price-Aware Energy Management in Cellular Networks. IEEE Communications Letters. 21 (7), 1609-1612
Zhang, X., Nakhai, MR. and Ariffin, WNSFW., (2017). Adaptive Energy Storage Management in Green Wireless Networks. IEEE Signal Processing Letters. 24 (7), 1044-1048
Conferences (10)
Zhang, X., Zheng, G. and Lambotharan, S., (2020). Trajectory Design for UAV-Assisted Emergency Communications: A Transfer Learning Approach
Zhang, X., Nakhai, MR., Zheng, G., Lambotharan, S. and Ottersten, B., (2019). A Calibrated Learning Approach to Distributed Power Allocation in Small Cell Networks
Zhang, X., Zheng, G., Lambotharan, S., Nakhai, MR. and Wong, K-K., (2019). A Learning Approach to Edge Caching with Dynamic Content Library in Wireless Networks
Ariffin, WNSFW., Zhang, X. and Nakhai, MR., (2016). Sparse beamforming for real-time energy trading in CoMP-SWIPT networks
Ariffin, WNSFW., Zhang, X. and Nakhai, MR., (2016). Combinatorial multi-armed bandit algorithms for real-time energy trading in green C-RAN
Zhang, X. and Nakhai, MR., (2016). Robust chance-constrained distributed beamforming for multicell interference networks
Zhang, X., Nakhai, MR. and Wan Ariffin, WNSF., (2016). A Multi-Armed Bandit Approach to Distributed Robust Beamforming in Multicell Networks
Zhang, X. and Nakhai, MR., (2016). A Distributed Algorithm for Robust Transmission in Multicell Networks with Probabilistic Constraints
Ariffin, WNSFW., Zhang, X. and Nakhai, MR., (2015). Real-time power balancing in green CoMP network with wireless information and energy transfer
Ariffin, WNSFW., Zhang, X. and Nakhai, MR., (2015). Real-time energy trading with grid in green cloud-RAN
Grants and funding
2024
Optimization of Resource Allocation in Broadcast and Multicast Systems Based on Non-Binary Polar Codes
The Royal Society
Contact
Academic support hours:
My Academic Support Hours are 1-2pm on Tuesday (via Zoom) and 1-2pm on Wednesday (in person). The Zoom link for this is available from my profile on my CE155 and CE163 course MOODLE pages. Please wait in the waiting room until I can admit you.
