Publications
papers and codes available
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Contrastive Learning and Adversarial Disentanglement for Privacy-Preserving Task-Oriented Semantic Communications
O. Erak, O. Alhussein, W. Tong CoRR abs/2410.22784. Download pre-print Code available -
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
N. Alabbasi, O. Erak, O. Alhussein, I. Lotfi, S. Muhaidat, M. Debbah CoRR abs/2411.02617. Download pre-print Code available -
Encoder decoder-based Virtual Physically Unclonable Function for Internet of Things device authentication using split-learning
R. Khan, H. B. Eldeeb, B. Mefgouda, O. Alhussein, H. Saleh, S. Muhaidat CoRR abs/2411.02617. Download pre-print Code available -
Leveraging fine-tuned retrieval-augmented generation with long-context support: for 3GPP standards
O. Erak, N. Alabbasi, O. Alhussein, I. Lotfi, A. Hussein, S. Muhaidat, M. Debbah CoRR abs/2408.11775. Download pre-print Code available -
Layer-wise federated learning for mobile networks
M. Hosseini, O. Alhussein, A. Akhavain
CoRR abs/xxx. Download pre-print -
Reconfigurable Intelligent Surface-Aided Time Reversal Wireless Systems
S. Naser, O. Alhussein, L. Bariah, D. Mi, and S. Muhaidat
in Proc. IEEE/CIC ICCC, 2024.
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Performance Analysis of LoRa-Enabled Backscatter Communication
A. S. Ali, S. Naser, O. Alhussein, and S. Muhaidat
in Proc. IEEE/CIC ICCC, 2024.
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Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
O. Alhussein, N. Zhang, S. Muhaidat, and W. Zhuang
CoRR abs/2406.03630v1, June 2024.
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Large language model-driven curriculum design for mobile networks
O. Erak, O. Alhussein, S. Naser, N. Alabbasi, D. Mi, and S. Muhaidat
CoRR abs/2405.18039, May 2024. (Accepted to Proc. IEEE/CIC ICCC) Download paper Code available -
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory
O. Alhussein, M. Wei, A. Akhavain
in Proc. IEEE Globecom, 2023, pp. 1–6.
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A holistic and proactive approach to forecasting cyber threats
Z. Almahmoud, PD. Yoo, O. Alhussein, I. Farhat, E. Damiani
Sci. Rep., vol. 13, no. 1, p. 8049, May 2023.
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Dynamic topology design of NFV-enabled services using deep reinforcement learning
O. Alhussein and W. Zhuang
IEEE Transactions on Cognitive Communications and Networking, to appear. DOI: 10.1109/TCCN.2021.3139632
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Securing Software-defined WSNs Communication via Trust Management
M. Ben-Yahya, O. Alhussein and X. Shen
IEEE Internet of Things J., pp. 1–1, 2021.
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On the Orchestration and Provisioning of NFV-enabled Multicast Services
O. Alhussein
Doctoral Dissertation, UWSpace, 2020.
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Robust online composition, routing and NF placement for NFV-enabled services
O. Alhussein and W. Zhuang
IEEE J. Sel. Areas Commun., vol. 38, no. 6, pp. 1089–1101, 2020.
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A virtual network customization framework for multicast services in NFV-enabled core networks
O. Alhussein, P. T. Do, J. Li, W. Shi, W. Zhuang, and X. Shen
IEEE J. Sel. Areas Commun., vol. 38, no. 6, pp. 1025–1039, 2020.
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Semiparametric subsampling and data condensation for large-scale data analytics
O. Alhussein, P. D. Yoo, S. Muhaidat, and J. Liang
In Proc. IEEE CCECE, 2019, pp. 1-6.
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Censor-based cooperative Multi-antenna spectrum sensing with imperfect reporting channels
M. Li, O. Alhussein, P. Sofotasios, S. Muhaidat, P. D. Yoo, J. Liang, and A. Wang
IEEE Trans. Veh. Technol., early-access. doi: 10.1109/TSUSC.2019.2896667
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Joint VNF placement and multicast traffic routing in 5G core networks
O. Alhussein, P. T. Do, J. Li, Q. Ye, W. Shi, W. Zhuang, X. Shen, X. Li, and J. Rao
In Proc. IEEE Globecom, 2018, pp. 1–6.
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Evaluation of Parametric Statistical Models for Wind Speed Probability Density Estimation
M. Wahbah, O. Alhussein, T. H. M. El-Fouly, B. Zahawi and S. Muhaidat
In Proc. IEEE EPEC, 2018, pp. 1-6.
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Unified analysis of diversity reception in the presence of impulsive noise
O. Alhussein, I. Ahmed, J. Liang, and S. Muhaidat
IEEE Trans. Veh. Technol., vol. 66, no. 2, pp. 1408–1417, Feb. 2017.
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Software Defined Space- Air-Ground Integrated Vehicular Networks: Challenges and Solutions
N. Zhang, S. Zhang, P. Yang, O. Alhussein, and W. Zhaung
IEEE Comm. Magazine, vol. 55, no. 7, pp. 101–109, 2017.
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Performance analysis of wireless fading channels: A unified approach
O. Alhussein
MASc Thesis, Dept. Applied Sciences, School of Engineering Science, Simon Fraser University, BC, Canada, 2015.
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Sample Code
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Performance analysis of energy detection over mixture Gamma based fading channels with diversity reception
O. Alhussein A. Hammadi, P. C. Sofotasios, S. Muhaidat, J. Liang, M. Alqutayri, G. K. Karagiannidis
In Proc. IEEE Int. Conf. Wireless Mobile Comput., Netw. Commun., Abu Dhabi, UAE, Oct. 2015, pp. 1–7.
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Presentation -
Optimal Cooperative Spectrum Sensing over Composite Fading Channels
B. Selim, O. Alhussein, G. K. Karagiannidis, S. Muhaidat
IEEE Int. Commun. Conf. (ICC’15 (02) WC). London.
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A Unified Approach for Representing Wireless Channels using EM-Based Finite Mixture of Gamma Distributions
O. Alhussein, S. Muhaidat, J. Liang, P. D. Yoo
In Proc. Globecom Workshops, 2014, pp. 1008–1013.
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Presentation -
Spectrum Sensing Techniques for OFDM-Based Cognitive Radio Networks
O. Alhussein, R. Mahmoud, K. Eledlebi, and Z. Sead
Terena Networking Conference (TNC2013), Maastricht, Netherlands, June 2013. -
A Mathematical Model to Decrease Obesity in the UAE
S. Azzeh, O. Alhussain, S. A. Abusamra
In Proc. ASME IMECE, 2011, pp. 385-390.