Ghent University Academic Bibliography

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High-throughput adaptive co-channel interference cancellation for edge devices using depthwise separable convolutions, quantization, and pruning

Mostafa Naseri (UGent) , Eli De Poorter (UGent) , Ingrid Moerman (UGent) , H. Vincent Poor and Adnan Shahid (UGent)

(2025) IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY. 6. p.656-670
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Blind co-channel interference cancellation using fast Fourier convolutions

Mostafa Naseri (UGent) , Eli De Poorter (UGent) , Ingrid Moerman (UGent) , H. Vincent Poor and Adnan Shahid (UGent)

(2024) 2024 IEEE 99TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2024-SPRING. In IEEE Vehicular Technology Conference VTC
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Vehicular intelligence at the edge : a decentralized federated learning approach for technology recognition

Hojjat Navidan (UGent) , Merkebu Girmay (UGent) , Seif Mohamed, H. Vincent Poor, Ingrid Moerman (UGent) and Adnan Shahid (UGent)

(2024) 2024 IEEE Vehicular Networking Conference (VNC). p.283-289
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Over-the-air aggregation-based federated learning for technology recognition in multi-RAT networks

Merkebu Girmay (UGent) , Mohamed Seif Eddin, Vasilis Maglogiannis (UGent) , Dries Naudts (UGent) , Adnan Shahid (UGent) , H. Vincent Poor and Ingrid Moerman (UGent)

(2024) 2024 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS, DYSPAN 2024. In IEEE International Symposium on Dynamic Spectrum Access Networks p.465-472
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Enabling uncoordinated dynamic spectrum sharing between LTE and NR networks

Merkebu Girmay (UGent) , Vasilis Maglogiannis (UGent) , Dries Naudts (UGent) , Timo De Waele (UGent) , Eli De Poorter (UGent) , Adnan Shahid (UGent) , H. Vincent Poor and Ingrid Moerman (UGent)

(2024) IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 23(6). p.5953-5968

Academic Bibliography

High-throughput adaptive co-channel interference cancellation for edge devices using depthwise separable convolutions, quantization, and pruning

Blind co-channel interference cancellation using fast Fourier convolutions

Vehicular intelligence at the edge : a decentralized federated learning approach for technology recognition

Over-the-air aggregation-based federated learning for technology recognition in multi-RAT networks

Enabling uncoordinated dynamic spectrum sharing between LTE and NR networks

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