@CONFERENCE{MTMT:34397944,
	title = {Constrained Quantum Genetic Algorithm for Maximizing Energy Efficiency in Downlink Massive MIMO Network for 5G Applications},
	url = {https://m2.mtmt.hu/api/publication/34397944},
	author = {EL GAILY, SARA and Almasaoodi, Mohammed and Sabaawi , Abdulbasit  and Imre, Sándor},
	booktitle = {European Quantum Technologies Conference (EQTC) 2023},
	unique-id = {34397944},
	year = {2023},
	pages = {1-2},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}

@inproceedings{MTMT:34009620,
	title = {Unconstrained Quantum Genetic Algorithm for Massive MIMO System},
	url = {https://m2.mtmt.hu/api/publication/34009620},
	author = {Sabaawi , Abdulbasit  and Almasaoodi, Mohammed and EL GAILY, SARA and Imre, Sándor},
	booktitle = {2023 17th International Conference on Telecommunications (ConTEL)},
	doi = {10.1109/ConTEL58387.2023.10198943},
	unique-id = {34009620},
	abstract = {There are plenty of real-world applications that require finding extreme value in an unsorted database. This database can be enormously large, such that there is no available quantum computer or classical supercomputer that can execute the search process. We proposed a new unconstrained quantum genetic algorithm (QGA) in order to increase the probability of finding the global solution and escaping from local minima. This algorithm exploits the features provided by blind quantum computation (BQC), which holds the promise to handle this computation issue by delegating computation to quantum remote devices. Massive multiple-input multiple-output (MIMO) systems are used as a toy example for demonstrating the effectiveness of the developed quantum genetic method.},
	keywords = {QUANTUM COMPUTATION; Energy efficiency; massive multiple-input multiple-output; quantum extreme value searching algorithm; blind quantum computing},
	year = {2023},
	pages = {1-6},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}

@CONFERENCE{MTMT:33999708,
	title = {Optimizing Energy Efficiency of MIMO Using Quantum Genetic Algorithm},
	url = {https://m2.mtmt.hu/api/publication/33999708},
	author = {Almasaoodi, Mohammed and Sabaawi , Abdulbasit  and EL GAILY, SARA and Imre, Sándor},
	booktitle = {Advances in Science and Engineering Technology International Conferences (ASET2023)},
	doi = {10.1109/ASET56582.2023.10180620},
	unique-id = {33999708},
	year = {2023},
	pages = {1-6},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}