Li Qiao

Orcid: 0000-0003-0586-189X

Affiliations:
  • Beijing Institute of Technology, School of Information and Electronics, China
  • University of Surrey, Institute for Communication Systems (ICS), Guildford, UK


According to our database1, Li Qiao authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning.
IEEE J. Sel. Areas Commun., November, 2024

Latency-Aware Generative Semantic Communications With Pre-Trained Diffusion Models.
IEEE Wirel. Commun. Lett., October, 2024

Sensing User's Activity, Channel, and Location With Near-Field Extra-Large-Scale MIMO.
IEEE Trans. Commun., 2024

Compressive-Sensing-Based Grant-Free Massive Access for 6G Massive Communication.
IEEE Internet Things J., 2024

Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs.
CoRR, 2024

Private Collaborative Edge Inference via Over-the-Air Computation.
CoRR, 2024

2023
Indoor Massive IoT Access Relying on Millimeter-Wave Extra-Large-Scale MIMO.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Unsourced Massive Access-Based Digital Over-the-Air Computation for Efficient Federated Edge Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Massive Access in Media Modulation Based Massive Machine-Type Communications.
IEEE Trans. Wirel. Commun., 2022

Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access.
IEEE J. Sel. Areas Commun., 2022

Model-Driven Deep Learning Based Precoding for FDD Cell-Free Massive MIMO with Imperfect CSI.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access.
CoRR, 2021

Non-Coherent Grant-Free Massive IoT Access for mMTC: An Index Modulation Perspective.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020
Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications.
IEEE Trans. Veh. Technol., 2020

Joint Active Device and Data Detection for Massive MTC Relying on Spatial Modulation.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020


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