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Publication search results
found 58 matches
- 2024
- Akhila Rao, Hassam Riaz, Aleksandr Zavodovski, Rami Mochaourab, Viktor Berggren, Andreas Johnsson:
Generalizable One-Way Delay Prediction Models for Heterogeneous UEs in 5G Networks. NOMS 2024: 1-9 - Forough Shahab Samani, Hannes Larsson, Simon Damberg, Andreas Johnsson, Rolf Stadler:
Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. NOMS 2024: 1-7 - Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. SIGMETRICS/Performance (Abstracts) 2024: 83-84 - Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks. TMA 2024: 1-11 - Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi, Andreas Johnsson:
Towards Neural Architecture Search for Transfer Learning in 6G Networks. CoRR abs/2406.02333 (2024) - 2023
- Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. Proc. ACM Meas. Anal. Comput. Syst. 7(3): 53:1-53:30 (2023) - Amin Kaveh, Adam Pettersson, Christian Rohner, Andreas Johnsson:
On the Impact of Blackhole-Attack Variations on ML-based Intrusion Detection Systems in IoT. NOMS 2023: 1-4 - Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson:
Domain Adaptation for Network Performance Modeling with and without Labeled Data. NOMS 2023: 1-9 - Andreas Johnsson, Bob Melander, Mats Björkman:
DietTopp: A first implementation and evaluation of a simplified bandwidth measurement method. CoRR abs/2301.06405 (2023) - 2022
- Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. GLOBECOM 2022: 1484-1490 - Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson:
Policy-Induced Unsupervised Feature Selection: A Networking Case Study. INFOCOM 2022: 750-759 - Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson:
Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. INFOCOM Workshops 2022: 1-2 - Fernando García Sanz, Masoumeh Ebrahimi, Andreas Johnsson:
Exploring Approaches for Heterogeneous Transfer Learning in Dynamic Networks. NOMS 2022: 1-9 - Akhila Rao, William Tärneberg, Emma Fitzgerald, Lorenzo Corneo, Aleksandr Zavodovski, Omkar Rai, Sixten Johansson, Viktor Berggren, Hassam Riaz, Caner Kilinc, Andreas Johnsson:
Prediction and exposure of delays from a base station perspective in 5G and beyond networks. 5G-MeMZ@SIGCOMM 2022: 8-14 - Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. CoRR abs/2204.06910 (2022) - Ian Marsh, Wolfgang John, Ali Balador, Federico Tonini, Jalil Taghia, Andreas Johnsson, Paolo Monti, Jonas Gustafsson, Pontus Sköldström, Johan Sjöberg, Jim Dowling:
Evolving 5G: ANIARA, an Edge-Cloud perspective. CoRR abs/2205.03098 (2022) - 2021
- Forough Shahab Samani, Rolf Stadler, Christofer Flinta, Andreas Johnsson:
Conditional Density Estimation of Service Metrics for Networked Services. IEEE Trans. Netw. Serv. Manag. 18(2): 2350-2364 (2021) - Ian Marsh, Nicolae Paladi, Henrik Abrahamsson, Jonas Gustafsson, Johan Sjöberg, Andreas Johnsson, Pontus Sköldström, Jim Dowling, Paolo Monti, Melina Vruna, Mohsen Amiribesheli:
Evolving 5G: ANIARA, an edge-cloud perspective. CF 2021: 206-207 - Xiaoxuan Wang, Forough Shahab Samani, Andreas Johnsson, Rolf Stadler:
Online Feature Selection for Low-overhead Learning in Networked Systems. CNSM 2021: 527-529 - Aleksandr Zavodovski, Lorenzo Corneo, Andreas Johnsson, Nitinder Mohan, Suzan Bayhan, Pengyuan Zhou, Walter Wong, Jussi Kangasharju:
Decentralizing Computation with Edge Computing: Potential and Challenges. IWCI@CoNEXT 2021: 34-36 - Fernando García Sanz, Masoumeh Ebrahimi, Andreas Johnsson:
On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction. GLOBECOM 2021: 1-6 - Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Towards Source Selection in Transfer Learning for Cloud Performance Prediction. IM 2021: 599-603 - Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Source Selection in Transfer Learning for Improved Service Performance Predictions. Networking 2021: 1-9 - 2020
- Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Predictive Bandits. CDC 2020: 1170-1176 - Christofer Flinta, Wenqing Yan, Andreas Johnsson:
Predicting Round-Trip Time Distributions in IoT Systems using Histogram Estimators. NOMS 2020: 1-9 - William Tärneberg, Omar Hamsis, John Hedlund, Kjell Brunnström, Emma Fitzgerald, Andreas Johnsson, Viktor Berggren, Maria Kihl, Akhila Rao, Rebecca Steinert, Caner Kilinc:
Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign. SoftCOM 2020: 1-6 - Simon Lindståhl, Alexandre Proutière, Andreas Johnsson:
Predictive Bandits. CoRR abs/2004.01141 (2020) - 2019
- Andreas Johnsson, Christofer Flinta, Wenqing Yan:
Machine Learning Based Active Measurement Proxy for IoT Systems. IM 2019: 198-206 - Andreas Johnsson, Farnaz Moradi, Rolf Stadler:
Performance Prediction in Dynamic Clouds using Transfer Learning. IM 2019: 242-250 - Forough Shahab, Rolf Stadler, Andreas Johnsson, Christofer Flinta:
Demonstration: Predicting Distributions of Service Metrics. IM 2019: 745-746
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