Iftikhar Ahmad

Research title: The use of Machine Learning in Unmanned Aerial Vehicles and Their Cooperative Behaviour

Publications

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Jump to: 2023 | 2022
Number of items: 5.

2023

Abubakar, A. I. , Mollel, M. S. , Onireti, O. , Ozturk, M., Ahmad, I. , Asad, S. M., Sambo, Y. , Zoha, A. , Hussain, S. and Imran, M. A. (2023) Coverage and throughput analysis of an energy efficient UAV base station positioning scheme. Computer Networks, 232, 109854. (doi: 10.1016/j.comnet.2023.109854)

Ahmad, I. , Khan, A. R., Bin Rais, R. N., Zoha, A. , Imran, M. A. and Hussain, S. (2023) Vision-Assisted Beam Prediction for Real World 6G Drone Communication. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2023), Toronto, ON, Canada, 5–8 Sept 2023, (Accepted for Publication)

Abubakar, A. I. , Ahmad, I. , Omeke, K. G., Ozturk, M., Ozturk, C., Abdel-Salam, A. M., Mollel, M. S. , Abbasi, Q. H. , Hussain, S. and Imran, M. A. (2023) A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches. Drones, 7(3), 214. (doi: 10.3390/drones7030214)

Khan, A. R., Ahmad, I. , Mohjazi, L. , Hussain, S. , Rais, R. N. B., Imran, M. A. and Zoha, A. (2023) Latency-aware blockage prediction in vision-aided federated wireless networks. Frontiers in Communications and Networks, 4, 1130844. (doi: 10.3389/frcmn.2023.1130844)

2022

Ahmad, I. , Kaur, J. , Abbas, H. T. , Abbasi, Q. H. , Zoha, A. , Imran, M. A. and Hussain, S. (2022) UAV-assisted 5G Networks for Optimised Coverage Under Dynamic Traffic Load. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, pp. 1692-1693. ISBN 9781665496582 (doi: 10.1109/AP-S/USNC-URSI47032.2022.9886848)

This list was generated on Mon Mar 4 18:20:50 2024 GMT.
Number of items: 5.

Articles

Abubakar, A. I. , Mollel, M. S. , Onireti, O. , Ozturk, M., Ahmad, I. , Asad, S. M., Sambo, Y. , Zoha, A. , Hussain, S. and Imran, M. A. (2023) Coverage and throughput analysis of an energy efficient UAV base station positioning scheme. Computer Networks, 232, 109854. (doi: 10.1016/j.comnet.2023.109854)

Abubakar, A. I. , Ahmad, I. , Omeke, K. G., Ozturk, M., Ozturk, C., Abdel-Salam, A. M., Mollel, M. S. , Abbasi, Q. H. , Hussain, S. and Imran, M. A. (2023) A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches. Drones, 7(3), 214. (doi: 10.3390/drones7030214)

Khan, A. R., Ahmad, I. , Mohjazi, L. , Hussain, S. , Rais, R. N. B., Imran, M. A. and Zoha, A. (2023) Latency-aware blockage prediction in vision-aided federated wireless networks. Frontiers in Communications and Networks, 4, 1130844. (doi: 10.3389/frcmn.2023.1130844)

Conference Proceedings

Ahmad, I. , Khan, A. R., Bin Rais, R. N., Zoha, A. , Imran, M. A. and Hussain, S. (2023) Vision-Assisted Beam Prediction for Real World 6G Drone Communication. In: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2023), Toronto, ON, Canada, 5–8 Sept 2023, (Accepted for Publication)

Ahmad, I. , Kaur, J. , Abbas, H. T. , Abbasi, Q. H. , Zoha, A. , Imran, M. A. and Hussain, S. (2022) UAV-assisted 5G Networks for Optimised Coverage Under Dynamic Traffic Load. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, pp. 1692-1693. ISBN 9781665496582 (doi: 10.1109/AP-S/USNC-URSI47032.2022.9886848)

This list was generated on Mon Mar 4 18:20:50 2024 GMT.