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Learning from Experience: Efficient Decentralized Scheduling for 60GHz Mesh Networks

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

Transport Protocols Behaviour Study in Evolving Mobile Networks

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

Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls

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

Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks

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

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