| Empirical investigation of the effect of the door's state on received signal strength in indoor environments at 2.4 GHz A Alhamoud, M Kreger, H Afifi, C Gottron, D Burgstahler, F Englert, ... 39th Annual IEEE Conference on Local Computer Networks Workshops, 652-657, 2014 | 22 | 2014 |
| MARVELO: Wireless virtual network embedding for overlay graphs with loops H Afifi, S Auroux, H Karl 2018 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2018 | 18 | 2018 |
| Reinforcement learning for virtual network embedding in wireless sensor networks H Afifi, H Karl 2020 16th International Conference on Wireless and Mobile Computing …, 2020 | 17 | 2020 |
| Network-aware optimal microphone channel selection in wireless acoustic sensor networks M Gunther, H Afifi, A Brendel, H Karl, W Kellermann ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
| MARVELO-a framework for signal processing in wireless acoustic sensor networks H Afifi, J Schmalenstroeer, J Ullmann, R Haeb-Umbach, H Karl Speech Communication; 13th ITG-Symposium, 1-5, 2018 | 10 | 2018 |
| An approximate power control algorithm for a multi-cast wireless virtual network embedding H Afifi, H Karl 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC), 95-102, 2019 | 9 | 2019 |
| Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network Embedding H Afifi, H Karl | 7* | |
| Reinforcement learning for autonomous vehicle movements in wireless sensor networks H Afifi, A Ramaswamy, H Karl ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 6 | 2021 |
| A genetic algorithm framework for solving wireless virtual network embedding H Afifi, K Horbach, H Karl 2019 International Conference on Wireless and Mobile Computing, Networking …, 2019 | 6 | 2019 |
| Machine Learning with Computer Networks: Techniques, Datasets and Models H Afifi, S Pochaba, A Boltres, D Laniewski, J Haberer, P Leonard, ... IEEE access, 2024 | 4 | 2024 |
| A reinforcement learning QoI/QoS-aware approach in acoustic sensor networks H Afifi, A Ramaswamy, H Karl 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC …, 2021 | 4 | 2021 |
| Sparse adaptation of distributed blind source separation in acoustic sensor networks M Günther, H Afifi, A Brendel, H Karl, W Kellermann 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 3 | 2019 |
| Reinforcement learning for autonomous vehicle movements in wireless multimedia applications H Afifi, A Ramaswamy, H Karl Pervasive and Mobile Computing 92, 101799, 2023 | 2 | 2023 |
| Reinforcement learning for admission control in wireless virtual network embedding H Afifi, FJ Sauer, H Karl 2021 IEEE International Conference on Advanced Networks and …, 2021 | 2 | 2021 |
| Data-driven Time Synchronization in Wireless Multimedia Networks H Afifi, H Karl, T Gburrek, J Schmalenstroeer 2022 International Wireless Communications and Mobile Computing (IWCMC), 161-166, 2022 | 1 | 2022 |
| Reinforcement learning-based microphone selection inwireless acoustic sensor networks considering network and acoustic utilities H Afifi, M Guenther, A Brendel, H Karl, W Kellermann Speech Communication; 14th ITG Conference, 1-5, 2021 | 1 | 2021 |
| A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO H Afifi, H Karl, S Eikenberg, A Mueller, L Gansel, A Makejkin, ... 2019 IEEE Wireless Communications and Networking Conference (WCNC)(IEEE WCNC …, 2019 | | 2019 |
| Millimeter-wave small-cells traffic off-loading with large-scale antenna arrays for UDN H Abbas, M Shehata, K Hassan, M Kurras, L Thiele 2016 International Conference on Selected Topics in Mobile & Wireless …, 2016 | | 2016 |
Holger KarlHasso-Plattner-Institute, Potsdam UniversityVerified email at hpi.de
