TY - JOUR AU - Sabaawi , Abdulbasit AU - Almasaoodi, Mohammed AU - EL GAILY, SARA AU - Imre, Sándor TI - Energy efficiency optimisation in massive multiple‐input, multiple‐output network for 5G applications using new quantum genetic algorithm JF - IET NETWORKS J2 - IET NETWORKS VL - 13 PY - 2024 IS - 2 SP - 165 EP - 177 PG - 13 SN - 2047-4954 DO - 10.1049/ntw2.12104 UR - https://m2.mtmt.hu/api/publication/34334711 ID - 34334711 N1 - Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary College of Electronics Engineering, Ninevah University, Mosul, Iraq Kerbala University, Kerbala, Iraq Export Date: 30 November 2023 Correspondence Address: Sabaawi, A.M.A.; Department of Networked Systems and Services, Hungary; email: abdulbasit@hit.bme.hu AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Galambos, Máté AU - Czermann, Márton AU - Jánosi, Gergely AU - Kornis, János AU - Papp, Zsolt AU - Koller, István AU - Holló, Csaba Tamás AU - Sarkadi, Tamás AU - Erdei, Gábor AU - Barócsi, Attila AU - Kis, Zsolt AU - Koppa, Pál AU - Imre, Sándor AU - Bacsárdi, László TI - Report on the First Hungarian Short Range Free Space QKD Link T2 - Proceedings of the 74th International Astronautical Congress (IAC 2023) PB - International Astronautical Federation (IAF) PY - 2023 PG - 8 UR - https://m2.mtmt.hu/api/publication/34519786 ID - 34519786 AB - 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. LA - English DB - MTMT ER - TY - CONF AU - EL GAILY, SARA AU - Almasaoodi, Mohammed AU - Sabaawi , Abdulbasit AU - Imre, Sándor TI - Constrained Quantum Genetic Algorithm for Maximizing Energy Efficiency in Downlink Massive MIMO Network for 5G Applications T2 - European Quantum Technologies Conference (EQTC) 2023 PY - 2023 SP - 1 EP - 2 PG - 2 UR - https://m2.mtmt.hu/api/publication/34397944 ID - 34397944 LA - English DB - MTMT ER - TY - CONF AU - Bérces, Márton AU - Imre, Sándor TI - Analysis of Entanglement-based Quantum WiFi Competition Resolution inReal Life Scenarios T2 - European Quantum Technologies Conference (EQTC) 2023 PY - 2023 SP - 1 EP - 5 PG - 5 UR - https://m2.mtmt.hu/api/publication/34334795 ID - 34334795 LA - English DB - MTMT ER - TY - JOUR AU - Sabaawi , Abdulbasit AU - Almasaoodi, Mohammed AU - EL GAILY, SARA AU - Imre, Sándor TI - Quantum Genetic Algorithm for Highly Constrained Optimization Problems JF - INFOCOMMUNICATIONS JOURNAL J2 - INFOCOMM J VL - 15 PY - 2023 IS - 3 SP - 63 EP - 71 PG - 9 SN - 2061-2079 DO - 10.36244/ICJ.2023.3.7 UR - https://m2.mtmt.hu/api/publication/34308934 ID - 34308934 N1 - Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary College of Electronics Engineering, Ninevah University, Mosul, Iraq Kerbala University, Kerbala, Iraq Export Date: 14 December 2023 Funding Agency and Grant Number: Ministry of Culture and Innovation; National Research, Development, and Innovation Office within the Quantum Information National Laboratory of Hungary [2022-2.1.1-NL-2022-00004] Funding text: This research was supported by the Ministry of Culture and Innovation and the National Research, Development, and Innovation Office within the Quantum Information National Laboratory of Hungary (Grant No. 2022-2.1.1-NL-2022-00004). AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Almasaoodi, Mohammed AU - Sabaawi , Abdulbasit AU - EL GAILY, SARA AU - Imre, Sándor TI - New Quantum Genetic Algorithm Based on Constrained Quantum Optimization JF - KARBALA INTERNATIONAL JOURNAL OF MODERN SCIENCE J2 - KARBALA INT J MODERN SCI VL - 9 PY - 2023 IS - 4 SP - 637 EP - 649 PG - 13 SN - 2405-609X DO - 10.33640/2405-609X.3325 UR - https://m2.mtmt.hu/api/publication/34231284 ID - 34231284 N1 - Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Müegyetem rkp. 3., Budapest, H-1111, Hungary Kerbala University, Kerbala, Iraq College of Electronics Engineering, Ninevah University, Mosul, Iraq Export Date: 2 November 2023 Correspondence Address: Almasaoodi, M.R.; Department of Networked Systems and Services, Müegyetem rkp. 3., Hungary; email: almasaoodi@hit.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Sabaawi , Abdulbasit AU - Almasaoodi, Mohammed AU - EL GAILY, SARA AU - Imre, Sándor ED - IEEE, , TI - Unconstrained Quantum Genetic Algorithm for Massive MIMO System T2 - 2023 17th International Conference on Telecommunications (ConTEL) PB - IEEE CY - Piscataway (NJ) SN - 9798350302233 PY - 2023 SP - 1 EP - 6 PG - 6 DO - 10.1109/ConTEL58387.2023.10198943 UR - https://m2.mtmt.hu/api/publication/34009620 ID - 34009620 N1 - Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Department of Networked Systems and Services, Budapest, H-1111, Hungary College of Electronics Engineering, Ninevah University, Mosul, Iraq Kerbala University, Kerbala, Iraq Export Date: 1 September 2023 ISSN:1847-9774 AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Almasaoodi, Mohammed AU - Sabaawi , Abdulbasit AU - EL GAILY, SARA AU - Imre, Sándor TI - Optimizing Energy Efficiency of MIMO Using Quantum Genetic Algorithm T2 - Advances in Science and Engineering Technology International Conferences (ASET2023) PB - IEEE CY - [s.l.] SN - 9781665454742 PY - 2023 SP - 1 EP - 6 PG - 6 DO - 10.1109/ASET56582.2023.10180620 UR - https://m2.mtmt.hu/api/publication/33999708 ID - 33999708 N1 - Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Department of Networked Systems and Services, Budapest, Hungary Kerbala University, Kerbala, Iraq College of Electronics Engineering, Ninevah University, Mosul, Iraq Export Date: 21 August 2023 LA - English DB - MTMT ER - TY - CHAP AU - Almasaoodi, Mohammed AU - Sabaawi , Abdulbasit AU - EL GAILY, SARA AU - Imre, Sándor ED - Imre, Sándor ED - Gyimóthy, Szabolcs ED - Varga, Pál TI - Power Optimization of Massive MIMO Using Quantum Genetic Algorithm T2 - Proceedings of the 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WI2NS2) PB - BME Villamosmérnöki és Informatikai Kar CY - Budapest SN - 9789634219026 PY - 2023 SP - 89 EP - 94 PG - 6 DO - 10.3311/WINS2023-016 UR - https://m2.mtmt.hu/api/publication/33999672 ID - 33999672 LA - English DB - MTMT ER - TY - BOOK ED - Imre, Sándor ED - Gyimóthy, Szabolcs ED - Varga, Pál TI - Proceedings of the 1st Workshop on Intelligent Infocommunication Networks, Systems and Services (WI2NS2) PB - BME Villamosmérnöki és Informatikai Kar CY - Budapest PY - 2023 SN - 9789634219026 UR - https://m2.mtmt.hu/api/publication/33667589 ID - 33667589 LA - English DB - MTMT ER -