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Published in IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2016
A decentralised MAC protocol for 60GHz multi-hop networks.
Recommended citation: Gek Hong Sim, Rui Li, Cristina Cano, David Malone, Paul Patras, and Joerg Widmer (2016). " Learning from Experience: Efficient Decentralized Scheduling for 60GHz Mesh Networks." 2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Coimbra, pp. 1-9 . doi: 10.1109/WoWMoM.2016.7523520 https://ieeexplore.ieee.org/abstract/document/7523520
Published in International Symposium on Wireless Communication Systems (ISWCS), 2016
Study of interactions between 4G LTE systems and legacy transport protocols
Recommended citation: Rui Li, Mehrdad Shariat, and Maziar Nekovee (2016). " Transport Protocols Behaviour Study in Evolving Mobile Networks." International Symposium on Wireless Communication Systems (ISWCS), Poznan, Poland . 456-460. DOI: 10.1109/ISWCS.2016.7600947 https://ieeexplore.ieee.org/abstract/document/7600947
Published in 3rd Workshop on Hot Topics in Wireless (collocated with MobiCom), 2016
Recommended citation: Rui Li and Paul Patras (2016). " WiHaul: max-min fair wireless backhauling over multi-hop millimetre-wave links." the 3rd Workshop on Hot Topics in Wireless (HotWireless). ACM, New York, NY, USA . arXiv preprint arXiv:1811.09128 https://dl.acm.org/citation.cfm?id=2980133
Published in Draft, 2018
Recommended citation: Chaoyun Zhang, Rui Li, Woojin Kim, Daesub Yoon and Paul Patras (2018). " Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets with Multi-stream Inputs." Draft . arXiv preprint arXiv:1811.09128 https://arxiv.org/abs/1811.09128
Published in International Conference on Machine Learning for Networking, 2018
Network slicing utility optimisation via deep learning. [Best Paper], Brendan Murphy Prize, and Runner-up Poster at FB PhD TechTalk
Recommended citation: Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, and John S. Thompson. (2018). " Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls." International Conference on Machine Learning for Networking. 10.1007/978-3-030-19945-6 https://arxiv.org/abs/1810.00356
Published in ACM SIGMETRICS Performance Evaluation Review, 2018
This paper investigates DRL methods in mobility control of cellular base stations mounted on drones in emergency scenarios.
Recommended citation: Rui Li, Chaoyun Zhang, Paul Patras, Razvan Stanica, and Fabrice Valois. (2019). " Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks." SIGMETRICS Perform. Eval. Rev. 46, 3 (January 2019), 163-166. . DOI: https://doi.org/10.1145/3308897.3308964. https://dl.acm.org/citation.cfm?id=3308964
Published in IEEE Transactions on Mobile Computing, 2019
Our work on addressing flow fairness and throughput optimisation in mm-wave backhauls.
Recommended citation: Rui Li and Paul Patras (2019). " Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls. " IEEE Transactions on Mobile Computing ( Early Access ) . DOI: 10.1109/TMC.2019.2917205. https://arxiv.org/pdf/1709.07078.pdf
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Undergraduate course, School of Informatics, University of Edinburgh, 2017
MSc module, School of Informatics, University of Edinburgh, 2017