@article{MTMT:34334711,
	title = {Energy efficiency optimisation in massive multiple‐input, multiple‐output network for 5G applications using new quantum genetic algorithm},
	url = {https://m2.mtmt.hu/api/publication/34334711},
	author = {Sabaawi , Abdulbasit  and Almasaoodi, Mohammed and EL GAILY, SARA and Imre, Sándor},
	doi = {10.1049/ntw2.12104},
	journal-iso = {IET NETWORKS},
	journal = {IET NETWORKS},
	volume = {13},
	unique-id = {34334711},
	issn = {2047-4954},
	abstract = {Devising efficient optimisation methods has been a subject of great research attention since current evolving trends in communication networks, machine learning, and other cutting‐edge systems that need a fast and accurate optimised computational model. Classical computers became incapable of handling new optimisation problems posed by newly emerging trends. Quantum optimisation algorithms appear as alternative solutions. The existing bottleneck that restricts the use of the newly developed quantum strategies is the limited qubit size of the available quantum computers (the size of the most recent universal quantum computer is 433 qubits). A new quantum genetic algorithm (QGA) is proposed that handles the presented problem. A quantum extreme value searching algorithm and quantum blind computing framework are utilised to extend the search capabilities of the GA. The quantum genetic strategy is exploited to maximise energy efficiency at full spectral efficiency of massive multiple‐input, multiple‐output (M‐MIMO) technology as a toy example for pointing out the efficiency of the presented quantum strategy. The authors run extensive simulations and prove how the presented quantum method outperforms the existing classical genetic algorithm.},
	year = {2024},
	eissn = {2047-4962},
	pages = {165-177},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}

@CONFERENCE{MTMT:34519786,
	title = {Report on the First Hungarian Short Range Free Space QKD Link},
	url = {https://m2.mtmt.hu/api/publication/34519786},
	author = {Galambos, Máté and Czermann, Márton and Jánosi, Gergely and Kornis, János and Papp, Zsolt and Koller, István and Holló, Csaba Tamás and Sarkadi, Tamás and Erdei, Gábor and Barócsi, Attila and Kis, Zsolt and Koppa, Pál and Imre, Sándor and Bacsárdi, László},
	booktitle = {Proceedings of the 74th International Astronautical Congress (IAC 2023)},
	unique-id = {34519786},
	abstract = {Here we report on the development of our short-range free space quantum communication system. We have built an entangled photon-pair source, based on wavefront splitting interference. We used commercially available fibre coupling ports to create a few meters long free space channel in the lab. We transmitted one half of an entangled photon-pair between two optical ground stations while the other photon was measured locally. To identify corresponding photons on the transmitter and receiver sides, we have tested multiple time synchronization and correlation peak search methods. We found that Fourier transform based correlation search-although works well in theory-has trouble finding overlap in case of low signal to noise ratio. Start-stop histograms proved feasible under realistic channel conditions, yet require longer data collection, and perform best with a reasonable guess at the propagation delay and time synchronization offset. We successfully verified that the transmission is suitable for quantum cryptography using Bell-test experiments. Our experiences show that loss has little effect on the average outcome of the Bell-test experiment but interferes with polarization correction resulting in greater variability and less consistency. We also examined the effect of optical turbulence induced fading using a heat source and observed that with properly increased integration time the fading has no effect on the Bell-test experiment. Copyright © 2023 by the International Astronautical Federation (IAF). All rights reserved.},
	keywords = {ENTANGLEMENT; quantum cryptography; QKD; free space},
	year = {2023},
	orcid-numbers = {Holló, Csaba Tamás/0000-0001-9807-7441; Erdei, Gábor/0000-0003-1584-3142; Barócsi, Attila/0000-0002-8986-1346; Imre, Sándor/0000-0002-2883-8919; Bacsárdi, László/0000-0002-7337-317X}
}

@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}
}

@CONFERENCE{MTMT:34334795,
	title = {Analysis of Entanglement-based Quantum WiFi Competition Resolution inReal Life Scenarios},
	url = {https://m2.mtmt.hu/api/publication/34334795},
	author = {Bérces, Márton and Imre, Sándor},
	booktitle = {European Quantum Technologies Conference (EQTC) 2023},
	unique-id = {34334795},
	year = {2023},
	pages = {1-5},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}

@article{MTMT:34308934,
	title = {Quantum Genetic Algorithm for Highly Constrained Optimization Problems},
	url = {https://m2.mtmt.hu/api/publication/34308934},
	author = {Sabaawi , Abdulbasit  and Almasaoodi, Mohammed and EL GAILY, SARA and Imre, Sándor},
	doi = {10.36244/ICJ.2023.3.7},
	journal-iso = {INFOCOMM J},
	journal = {INFOCOMMUNICATIONS JOURNAL},
	volume = {15},
	unique-id = {34308934},
	issn = {2061-2079},
	abstract = {Quantum computing appears as an alternative solution for solving computationally intractable problems. This paper presents a new constrained quantum genetic algorithm designed specifically for identifying the extreme value of a highly constrained optimization problem, where the search space size _database is massive and unsorted_ cannot be handled by the currently available classical or quantum processor, called the highly constrained quantum genetic algorithm (HCQGA). To validate the efficiency of the suggested quantum method, maximizing the energy efficiency with respect to the target user bit rate of an uplink multi-cell massive multiple-input and multiple- output (MIMO) system is considered as an application. Simulation results demonstrate that the proposed HCQGA converges rapidly to the optimum solution compared with its classical benchmark.},
	keywords = {GENETIC ALGORITHM; Quantum computing; quantum extreme value searching algorithm},
	year = {2023},
	eissn = {2061-2125},
	pages = {63-71},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}

@article{MTMT:34231284,
	title = {New Quantum Genetic Algorithm Based on Constrained Quantum Optimization},
	url = {https://m2.mtmt.hu/api/publication/34231284},
	author = {Almasaoodi, Mohammed and Sabaawi , Abdulbasit  and EL GAILY, SARA and Imre, Sándor},
	doi = {10.33640/2405-609X.3325},
	journal-iso = {KARBALA INT J MODERN SCI},
	journal = {KARBALA INTERNATIONAL JOURNAL OF MODERN SCIENCE},
	volume = {9},
	unique-id = {34231284},
	issn = {2405-609X},
	year = {2023},
	eissn = {2405-6103},
	pages = {637-649},
	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}
}

@inproceedings{MTMT:33999672,
	title = {Power Optimization of Massive MIMO Using Quantum Genetic Algorithm},
	url = {https://m2.mtmt.hu/api/publication/33999672},
	author = {Almasaoodi, Mohammed and Sabaawi , Abdulbasit  and EL GAILY, SARA and Imre, Sándor},
	booktitle = {Proceedings of the 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WI2NS2)},
	doi = {10.3311/WINS2023-016},
	unique-id = {33999672},
	year = {2023},
	pages = {89-94},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}

@book{MTMT:33667589,
	title = {Proceedings of the 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WI2NS2)},
	url = {https://m2.mtmt.hu/api/publication/33667589},
	isbn = {9789634219026},
	editor = {Imre, Sándor and Gyimóthy, Szabolcs and Varga, Pál},
	publisher = {Budapesti Műszaki és Gazdaságtudományi Egyetem, Villamosmérnöki és Informatikai Kar},
	unique-id = {33667589},
	year = {2023},
	orcid-numbers = {Imre, Sándor/0000-0002-2883-8919}
}