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Rajkarn Singh
Rajkarn Singh
Senior Researcher, Huawei Edinburgh Research Centre
Verifisert e-postadresse på huawei.com - Startside
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How does it function? characterizing long-term trends in production serverless workloads
A Joosen, A Hassan, M Asenov, R Singh, L Darlow, J Wang, A Barker
Proceedings of the 2023 ACM Symposium on Cloud Computing, 443-458, 2023
362023
Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks
R Singh, C Hasan, X Foukas, M Fiore, MK Marina, Y Wang
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
352021
SpectraGAN: spectrum based generation of city scale spatiotemporal mobile network traffic data
K Xu, R Singh, M Fiore, MK Marina, H Bilen, M Usama, H Benn, ...
Proceedings of the 17th International Conference on emerging Networking …, 2021
272021
Techniques for interference mitigation using cooperative resource partitioning in multitier LTE HetNets
R Singh, CSR Murthy
IEEE Systems Journal 12 (1), 843-853, 2016
182016
Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale
R Singh, M Fiore, M Marina, A Tarable, A Nordio
The World Wide Web Conference, 1724-1734, 2019
162019
A learning based mobile user traffic characterization for efficient resource management in cellular networks
R Singh, M Srinivasan, CSR Murthy
2015 12th Annual IEEE Consumer Communications and Networking Conference …, 2015
132015
CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots
K Xu, R Singh, H Bilen, M Fiore, MK Marina, Y Wang
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
112022
An energy efficient framework for user association and power allocation in HetNets with interference and rate-loss constraints
R Thakur, R Singh, CSR Murthy
Computer Communications 94, 57-71, 2016
82016
A multi-tier cooperative resource partitioning technique for interference mitigation in heterogeneous cellular networks
R Singh, S Mishra, CSR Murthy
2014 12th International Symposium on Modeling and Optimization in Mobile, Ad …, 2014
82014
DAM: A Foundation Model for Forecasting
LN Darlow, Q Deng, A Hassan, M Asenov, R Singh, A Joosen, A Barker, ...
The Twelfth International Conference on Learning Representations. https …, 2024
42024
DAM: Towards a Foundation Model for Forecasting
LN Darlow, Q Deng, A Hassan, M Asenov, R Singh, A Joosen, A Barker, ...
The Twelfth International Conference on Learning Representations, 0
4*
Serverless Cold Starts and Where to Find Them
A Joosen, A Hassan, M Asenov, R Singh, L Darlow, J Wang, Q Deng, ...
arXiv preprint arXiv:2410.06145, 2024
32024
On Choosing Between Privacy Preservation Mechanisms for Mobile Trajectory Data Sharing
R Singh, G Theodorakopoulos, MK Marina, M Arapinis
2018 IEEE Conference on Communications and Network Security (CNS), 1-9, 2018
22018
Lightweight Online Adaption for Time Series Foundation Model Forecasts
TL Lee, W Toner, R Singh, A Joosem, M Asenov
arXiv preprint arXiv:2502.12920, 2025
2025
Performance of Zero-Shot Time Series Foundation Models on Cloud Data
W Toner, TL Lee, A Joosen, R Singh, M Asenov
arXiv preprint arXiv:2502.12944, 2025
2025
On mobile usage data analysis, data-driven network optimization and data synthesis
R Singh
The University of Edinburgh, 2021
2021
UbiComp/ISWC 2019: A Post-Conference Summary Report
YD Kwon, M Khwaja, NAH Tan, M Narazani, MP Wozniak, A Nasser, ...
IEEE Pervasive Computing 18 (4), 71-79, 2019
2019
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