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Publications by Diarmuid Corcoran

Peer reviewed

Conference papers

[1]
D. Corcoran, P. Kreuger and M. Boman, "A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning," in 2022 18Th International Conference On Network And Service Management (CNSM 2022) : INTELLIGENT MANAGEMENT OF DISRUPTIVE NETWORK TECHNOLOGIES AND SERVICES, 2022, pp. 338-344.
[2]
D. Corcoran, P. Kreuger and M. Boman, "Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning," in Proceedings of the 2021 17th International Conference on Network and Service Management : Smart Management for Future Networks and Services, CNSM 2021, 2021, pp. 216-224.
[3]
D. Corcoran, P. Kreuger and C. Schulte, "Efficient Real-Time Traffic Generation for 5G RAN," in Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence, NOMS 2020, 2020.
[4]
D. Corcoran et al., "Data Driven Selection of DRX for Energy Efficient 5G RAN," in 13th International Conference on Network and Service Management (CNSM), 2017, 2017, pp. 1-9.
[6]
P. Kreuger et al., "Autonomous load balancing of heterogeneous networks," in IEEE Vehicular Technology Conference, 2015.
[7]
F. Ciccozzi et al., "SMARTCore: Boosting Model-Driven Engineering of Embedded Systems for Multicore," in 2015 12th International Conference on Information Technology - New Generations, 2015.
[8]
D. Corcoran, "Performance overhead of KVM on Linux 3.9 on ARM cortex-a15," in ACM SIGBED Review Volume 11 Issue 2 June 2014, 2014.
[9]
D. Corcoran, "Toward a Tailored Modeling of Non-Functional Requirements for Telecommunication Systems," in 2011 Eighth International Conference on Information Technology: New Generations, 2011.

Non-peer reviewed

Articles

[10]
D. Corcoran, "AI-enabled RAN automation," Ericsson Technology Review, vol. 10, 2021.
[11]
D. Corcoran, A. Ermedahl and C. Granbom, "Artificial intelligence in RAN – a software framework for AI-driven RAN automation," Ericsson Technology Review, 2020.

Theses

[13]
D. Corcoran, "Systematic Data-Driven Continual Self-Learning," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:29, 2023.
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2024-11-20 00:04:30