A Semantic-Aware Resource Allocation for Emerging AAV-NOMA Networks Empowered by Bayesian Active Inference.

Felix Obite

Ali Krayani Felix Obite Atm Shafiul Alam Lucio Marcenaro Arumugam Nallanathan Carlo S. Regazzoni A Semantic-Aware Resource Allocation for Emerging AAV-NOMA Networks Empowered by Bayesian Active Inference. 2026 5014-5031 12 IEEE Trans. Cogn. Commun. Netw. https://doi.org/10.1109/TCCN.2025.3637049 db/journals/tccn/tccn12.html#KrayaniOAMNR26 streams/journals/tccn

Felix Obite Ali Krayani Atm Shafiul Alam Lucio Marcenaro Arumugam Nallanathan Carlo S. Regazzoni Exploring Active Inference for Efficient Resource Allocation in AAV-Enabled Cognitive NOMA Uplink. 2632-2647 2025 August 11 IEEE Trans. Cogn. Commun. Netw. 4 https://doi.org/10.1109/TCCN.2024.3510577 db/journals/tccn/tccn11.html#ObiteKAMNR25 streams/journals/tccn

Felix Obite Ali Krayani Atm Shafiul Alam Lucio Marcenaro Arumugam Nallanathan Carlo S. Regazzoni Active Inference for Sum Rate Maximization in UAV-Assisted Cognitive NOMA Networks. 1-6 2023 WF-IoT https://doi.org/10.1109/WF-IoT58464.2023.10539543 conf/wf-iot/2023 db/conf/wf-iot/wf-iot2023.html#ObiteKAMNR23

Felix Obite Aliyu D. Usman Emmanuel Okafor An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks. 103014 2021 113 Digit. Signal Process. https://doi.org/10.1016/j.dsp.2021.103014 db/journals/dsp/dsp113.html#ObiteUO21

Atm Shafiul Alam Ali Krayani Lucio Marcenaro Arumugam Nallanathan Emmanuel Okafor Carlo S. Regazzoni Aliyu D. Usman