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Dr Pei Yiyang (裴一扬)

Associate Professor, Infocomm Technology Cluster (ICT)

Deputy Head, Future Communications Translation Lab (FCTLab)

Singapore Institute of Technology (SIT)

Address: 10 Dover Drive, Singapore 138683

My Biography

Dr. Pei Yiyang received the B.Eng. and Ph.D. degrees in electrical and electronic engineering from Nanyang Technological University, Singapore, in 2007 and 2012, respectively. From 2012 to 2016, she was a Research Scientist with the Institute for Infocomm Research, Singapore. Since 2016, she has been with the Singapore Institute of Technology (SIT), where she is now an Associate Professor. Her current research interests include reconfigurable intelligent surface, dynamic spectrum management and machine learning. She was a co-recipient of the IEEE Communications Society Stephen O. Rice Prize in 2021. She serves as an Editor for the IEEE Transactions on Cognitive Communications and Networking.

Projects

Co-PI, “Real-time Risk Assessment Assistance for Cooperative Mode (ReRaC) using V2X for Vehicles and Pedestrian in Urban Condition”, LTA Urban Mobility Challenge Programme, 2021-2024, in collaboration with SMRT, Moovita, University of Glasgow Singapore.
Co-PI, "TrustFUL: Trustworthy Federated Ubiquitous Learning", AI Singapore Research Grant, 2021-2025, in collaboration with NTU and SMU.
PI, "Mobile Network Performance Anomaly Detection and Prediction with Deep Learning", SIT Ignition Grant, 2019-2021, in collaboration with M1.
PI, "A scalable and secure energy data collection and analytics system", SIT Ignition Grant, 2018-2020, in collaboration with Ampotech.
Co-PI, "Functional Risk for AV Using AI Hybrid Deterministic Method", SIT Ignition Grant, 2019-2021, in collaboration with Moovita and University of Glasgow.
Co-PI, "Prediction of Vessels Connection in a Transshipment Hub with Deep Learning ", MOE TIF Grant, 2019-2021, in collaboration with PSA.

Publications

Journal Paper

Y. Pei, Y.-C. Liang, K. C. Teh, and K. H. Li, “How much time is needed for wideband spectrum sensing?” IEEE Trans. Wireless Commun., vol. 8, no. 11, pp. 5466–5471, Nov. 2009.
Y. Pei, Y.-C. Liang, L. Zhang, K. C. Teh, and K. H. Li, “Secure communication over MISO cognitive radio channels,” IEEE Trans. Wireless Commun., vol. 9, no. 4, pp. 1494–1502, Apr. 2010.
Y. Pei, Y.-C. Liang, K. C. Teh, and K. H. Li, “Secure communication in multiantenna cognitive radio networks with imperfect channel state information,” IEEE Trans. Signal Process., vol. 59, no. 4, pp. 1683–1693, Apr. 2011.
Y. Pei, Y.-C. Liang, K. C. Teh, and K. H. Li, “Energy-efficient design of sequential channel sensing in cognitive radio networks: Optimal sensing strategy, power allocation, and sensing order,” IEEE J. Sel. Areas Commun., vol. 29, no. 8, pp. 1648–1659, Sep. 2011. (Highly Cited Paper)
Y. Pei, and Y.-C. Liang, “Resource Allocation for Device-to-Device Communication Overlaying Two-Way Cellular Networks,” IEEE Trans. Wireless Commun., vol. 12, no. 7, 3611-3621, Jul. 2013. (Highly Cited Paper)
Y. Pei, and Y.-C. Liang, “Cooperative spectrum sharing with bi-directional secondary transmissions,” IEEE Trans. Veh. Technol., vol. 64, no. 1, 108-117, Jan. 2015.
E.C. Y. Peh, S. W. Oh, Y. Ma, M.-H. Tao, and Y. Pei “Pricing model for TV white spaces channels with Different Priorities,” IEEE Wireless Commun. Lett., vol. 4, no. 4, 401-404, Apr. 2015.
G. Yang, Y.-C. Liang, R. Zhang, and Y. Pei, “Modulation in the air: Backscatter communication over ambient OFDM carrier”, IEEE Trans. Commun., vol.66, no. 3, pp. 1219-1233, Mar. 2018. (Highly Cited Paper)
Q. Zhang, P. P. Liang, Y.-D. Huang, Y. Pei, Y.-C. Liang, “Label-Assisted Transmission for Short Packet Communications: A Machine Learning Approach”, IEEE Trans. Veh. Tech., vol. 67, no. 9, pp. 8846-8859, Jun. 2018.
10. N. Zhao, Y.-C. Liang, and Y. Pei, “Dynamic Contract Incentive Mechanism for Cooperative Wireless Networks”, IEEE Trans. Veh. Tech., vol. 67, no. 11, pp. 10970-10982, Nov. 2018. (Highly Cited Paper)
J. Tian, Y. Pei, Y.-D. Huang and Y.-C. Liang, “A modulation constrained clustering approach to blind modulation classification for MIMO systems,” IEEE Trans. Cognitive Commun. Netw., vol.4, no. 4, pp. 894-907, Dec. 2018.
X. Liu, J. Xu, Y. Pei and Y.-C. Liang, “Gaussian mixture model for millimeter-wave cellular communication networks,” IEEE Trans. Veh. Technol., vol. 68, no. 4, pp. 3174-3188, Apr. 2019.
J. Chen, Y.-C. Liang, Y. Pei and H. Guo, “Intelligent reflecting surface: A programmable wireless environment for physical layer security,” IEEE Access, vol. 7, pp. 82599-82612, 2019. (Highly Cited Paper)
N. Zhao, Y.-C. Liang, D. Niyato, Y. Pei, M. Wu and Y. Jiang, “Deep reinforcement learning for user association and resource allocation in heterogeneous networks,” IEEE Trans. Wireless Commun., vol. 18, no. 11, pp. 5141-5152, Nov. 2019. (Highly Cited Paper)
S. Hu, Y. Pei, P. P. Liang and Y.-C. Liang, “Deep neural network for robust modulation classification under uncertain noise conditions,” IEEE Trans. Veh. Technol., vol.69, no. 1, pp. 564-577, Jan. 2020. (Highly Cited Paper)
N. Zhao, Z. Ye, Y. Pei, Y.-C. Liang and D. Niyato, “Spatial-Temporal Attention-Convolution Network for Citywide Cellular Traffic Prediction,” IEEE Commun. Lett., vol. 24, no. 11, 2532 – 2536, Nov. 2020.
Z Xiang, S. Han, H. Peng, Y. Pei and Y.-C. Liang, “A cross-layer analysis for symbiotic network using CSMA/CN protocol,” IEEE Internet of Things Journal, vol. 8, no. 7, 5697 – 5709, Apr. 2021.
S. Hu, Y. Pei and Y.-C. Liang, “Sensing-mining-access tradeoff in blockchain-enabled dynamic spectrum Access,” IEEE Wireless Comm. Lett., vol.10, no. 4, pp. 820-824, Apr. 2021.
J. Hu, Y.-C. Liang and Y. Pei, “Reconfigurable intelligent surface enhanced multi-user MISO symbiotic radio system,” IEEE Trans. Commun., vol. 69, no.4, pp. 2359-2371, Apr. 2021.
R. Long, Y.-C. Liang, Y. Pei and E. G. Larsson, “Active reconfigurable intelligent surface aided Wireless Communications,” IEEE Trans. Wireless Commun., vol. 20, no. 8, pp. 4962-4975, Aug. 2021. (Highly Cited Paper)
N. Zhao, A. Wu, Y. Pei, Y.-C. Liang and D. Niyato, "Spatial-temporal aggregation graph convolution network for efficient mobile cellular traffic prediction," IEEE Commun. Lett., vol. 26, no.3, pp. 587-591, Mar. 2022.
N. Zhao, Z. Ye, Y. Pei, Y.-C. Liang and D. Niyato, “Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing,”, IEEE Trans. Wireless Commun., vol. 21, no. 9, pp. 6949-6960, Sep. 2022. (Highly Cited Paper)
J. Hu, Y.-C. Liang and Y. Pei, S. Sun and R. Liu, “Reconfigurable intelligent surface based uplink MU-MIMO symbiotic radio system,” IEEE Trans. Wireless Commun., vol. 22, no. 1, Jan. 2023.
J. Wang, Y.-C. Liang, Y. Pei and X. Shen, “Reconfigurable intelligent surface as a micro base station: A novel paradigm for small cell networks”, IEEE Trans. Wireless Commun., vol. 22, no. 4, pp. 2338-2351, Apr. 2023.
N. Zhao, W. Du, F. Ren, Y. Pei, Y.-C. Liang and D. Niyato, “Joint Task Offloading, Resource Sharing and Computation Incentive for Edge Computing Networks,”, IEEE Commun. Lett., vol. 23, no. 1, pp. 258 – 262, Jan. 2023.
H. Zhou, Y.-C. Liang, R. Long, L. Zhao and Y. Pei, “Reconfigurable intelligent surface for FDD systems: Design and optimization”, IEEE Int. Things J., vol. 10, no. 11, pp. 9607-9621, Jun. 2023.
R. Mo, Y. Pei, N. Venkatarayalu, P. Nathaniel, A. B. Premkumar and S. Sun, “Unsupervised TCN-based outlier detection for time series with seasonality and trend,” IEEE Trans. Wireless Commun., vol. 22, no. 5, pp. 3114-3127, May 2023.
N. Zhao, Y. Pei, Y.-C. Liang and D. Niyato, “Multi-Agent Deep Reinforcement Learning Based Incentive Mechanism for Multi-Task Federated Edge Learning”, IEEE Trans. Veh. Tech., vol. 72, no. 10, pp. 13530-13535, Oct. 2023. (No)
H. Chen, Q. Zhang, R. Long, Y. Pei, Y.-C. Liang, “Pilot Design and Signal Detection for Symbiotic Radio over OFDM Carriers”, IEEE Trans. Wireless Commun., vol. 23, no. 2, pp. 1129-1142, Feb. 2024.
J. Chen, J. Zhang, N. Zhao, Y. Pei, Y.-C. Liang and D. Niyato, “Joint device participation, dataset management, and resource allocation in wireless federated learning via deep reinforcement learning,” ”, IEEE Trans. Veh. Tech., vol. 73, no. 3, pp. 4505-4510, Mar. 2024.
N. Zhao, Y. Pei, Y.-C. Liang and D. Niyato, “A deep reinforcement learning-based contract incentive mechanism for mobile crowdsourcing networks”, IEEE Trans. Veh. Tech., vol. 73, no. 3, pp. 4511-4516, Mar. 2024.
N. Zhao, Y. Pei, Y.-C. Liang and D. Niyato, “A deep reinforcement learning-based contract incentive mechanism for joint sensing and computation in mobile crowdsourcing networks”, IEEE Int. Things Journal, vol. 11, no. 7, pp. 12755-12767, Apr. 2024.
H. Zhou, Q. Zhang, Y.-C. Liang, and Y. Pei, “Assistance-transmission tradeoff for RIS-assisted symbiotic radios”, IEEE Trans. Wireless Commun., vol. 23, no. 7, pp. 6838-6855, Jul. 2024.

Professional Activities

Editor, IEEE Transactions on Cognitive Communications and Networking, 2021-2024
Treasure, IEEE Vehicular Technology Society Singapore Chapter, 2023-2024
Publication Chair, IEEE Vehicular Technology Conference Spring, 2024.
Finance Chair, IEEE Asia Pacific Wireless Communication Symposium, 2024.
Chair, IEEE Sensors Council Singapore Chapter, 2021
Founding Counselor, IEEE Student Branch @ SIT, 2021
Vice-Chair, IEEE Sensors Council Singapore Chapter, 2020
IEEE Senior Member, 2020.

Award

The Stephen O. Rice Prize, IEEE Communication Society, 2021.
Exemplar Reviewer, IEEE Wireless Communications Letter, 2012.
A*STAR Graduate Scholarship, 2008-2012.
Defence Science & Technology Gold Medal, NTU, 2007.

Teaching

ENG1001 Engineering Mathematics I
TLM1009 Linear Signal and Systems
TLM2001 Sensors and Control
TLM2005 Wireless Communications