Qiyang Zhao
Qiyang Zhao
Technology Innovation Institute
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In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning
X Wang, Y Han, C Wang, Q Zhao, X Chen, M Chen
IEEE Network 33 (5), 156-165, 2019
Aerial base stations with opportunistic links for next generation emergency communications
K Gomez, S Kandeepan, MM Vidal, V Boussemart, R Ramos, ...
IEEE Communications Magazine 54 (4), 31-39, 2016
Large Language Models for Telecom: The Next Big Thing?
L Bariah, Q Zhao, H Zou, Y Tian, F Bader, M Debbah
arXiv preprint arXiv:2306.10249, 2023
Transfer learning for QoS aware topology management in energy efficient 5G cognitive radio networks
Q Zhao, D Grace
5G for Ubiquitous Connectivity (5GU), 2014 1st International Conference on …, 2014
Distributed Q-learning based dynamic spectrum management in cognitive cellular systems: Choosing the right learning rate
N Morozs, T Clarke, D Grace, Q Zhao
Computers and Communication (ISCC), 2014 IEEE Symposium on, 1-6, 2014
Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence
H Zou, Q Zhao, L Bariah, M Bennis, M Debbah
arXiv preprint arXiv:2307.02757, 2023
Transfer learning and cooperation management: balancing the quality of service and information exchange overhead in cognitive radio networks
Q Zhao, D Grace, T Clarke
Transactions on Emerging Telecommunications Technologies 26 (2), 290-301, 2015
Using k-means clustering with transfer and Q learning for spectrum, load and energy optimization in opportunistic mobile broadband networks
Q Zhao, D Grace, A Vilhar, T Javornik
Wireless Communication Systems (ISWCS), 2015 International Symposium on, 116-120, 2015
Transfer learning: A paradigm for dynamic spectrum and topology management in flexible architectures
Q Zhao, T Jiang, N Morozs, D Grace, T Clarke
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th, 1-5, 2013
Understanding Telecom Language Through Large Language Models
L Bariah, H Zou, Q Zhao, B Mouhouche, F Bader, M Debbah
arXiv preprint arXiv:2306.07933, 2023
Single‐state Q‐learning for self‐organised radio resource management in dual‐hop 5G high capacity density networks
T Jiang, Q Zhao, D Grace, AG Burr, T Clarke
Transactions on Emerging Telecommunications Technologies 27 (12), 1628-1640, 2016
Application of cognition based resource allocation strategies on a multi-hop backhaul network
Q Zhao, D Grace
Communication Systems (ICCS), 2012 IEEE International Conference on, 423-427, 2012
Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC
Q Zhao, S Paris, T Veijalainen, S Ali
2021 Joint European Conference on Networks and Communications & 6G Summit …, 2021
Addressing reliability needs of industrial applications in 5G NR with network coding
S Paris, P Kela, D Laselva, Q Zhao
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-6, 2020
Enabling heterogeneous MMTC by energy-efficient and connectivity-aware clustering and routing
Z Li, J Chen, R Ni, S Chen, X Li, Q Zhao
2017 IEEE Globecom Workshops (GC Wkshps), 1-6, 2017
Agent transfer learning for cognitive resource management on multi-hop backhaul networks
Q Zhao, D Grace
Future Network and Mobile Summit (FutureNetworkSummit), 2013, 1-10, 2013
Adaptive Discontinuous Reception in 5G Advanced for Extended Reality Applications
S Paris, K Pedersen, Q Zhao
2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-6, 2022
Multimodal Transformers for Wireless Communications: A Case Study in Beam Prediction
Y Tian, Q Zhao, F Boukhalfa, K Wu, F Bader
arXiv preprint arXiv:2309.11811, 2023
Intelligent Radio Resource Management for Mobile Broadband Networks
Q Zhao
University of York, 2013
Semantic-Native Communication: A Simplicial Complex Perspective
Q Zhao, M Bennis, M Debbah, DB Da Costa
2022 IEEE Globecom Workshops (GC Wkshps), 1513-1518, 2022
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