@article{MTMT:34559046,
	title = {Energy-Efficient Joint User and Power Allocation in 5G Millimeter Wave Networks: A Genetic Algorithm-based Approach},
	url = {https://m2.mtmt.hu/api/publication/34559046},
	author = {Fayad, Abdulhalim and Cinkler, Tibor},
	doi = {10.1109/ACCESS.2024.3361660},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {12},
	unique-id = {34559046},
	issn = {2169-3536},
	year = {2024},
	eissn = {2169-3536},
	pages = {20019-20030}
}

@article{MTMT:34448269,
	title = {Evaluation of energy consumption of LPWAN technologies},
	url = {https://m2.mtmt.hu/api/publication/34448269},
	author = {Rajab, Husam and Al-Amaireh, Husam and Bouguera, T. and Cinkler, Tibor},
	doi = {10.1186/s13638-023-02322-8},
	journal-iso = {EURASIP J WIREL COMM},
	journal = {EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING},
	volume = {2023},
	unique-id = {34448269},
	issn = {1687-1472},
	abstract = {The majority of IoT implementations demand sensor nodes to run reliably for an extended time. Furthermore, the radio settings can endure a high data rate transmission while optimizing the energy-efficiency. The LoRa/LoRaWAN is one of the primary low-power wide area network (LPWAN) technologies that has highly enticed much concentration. The energy limits is a significant issue in wireless sensor networks since battery lifetime that supplies sensor nodes have a restricted amount of energy and neither expendable nor rechargeable in most cases. A common hypothesis is that the energy consumed by sensors in sleep mode is negligible. With this hypothesis, the usual approach is to consider subsets of nodes that reach all the iterative targets. These subsets also called coverage sets, are then put in the active mode, considering the others are in the low-power or sleep mode. In this paper, we address this question by proposing an energy consumption model based on LoRa and LoRaWAN, which optimizes the energy consumption of the sensor node for different tasks for a period of time. Our energy consumption model assumes the following, the processing unit is in on-state along the working sequence which enhances the MCU unit by constructing it in low-power modes through most of the activity cycle, a constant time duration, and the radio module sends a packet of data at a specified transmission power level. The proposed analytical approach permits considering the consumed power of every sensor node element where the numerical results show that the scenario in which the sensor node transfers data to the gateway then receives an acknowledgment RX2 without receiving RX1 consumes the most energy; furthermore, it can be used to analyze different LoRaWAN modes to determine the most desirable sensor node design to reach its energy autonomy where the numerical results detail the impact of scenario, spreading factor, and bandwidth on power consumption. © 2023, The Author(s).},
	keywords = {ENERGY; energy consumption; Low Power; Energy efficiency; Energy utilization; Sensor nodes; performance evaluation; Radio transmission; Wide area networks; Internet of Things (IOT); Network technologies; Internet of Things; Low power electronics; LoRa; LoRa; Gateways (computer networks); Energy-consumption; Internet of Thing; Low-power wide area network; LoRaWAN; LoRaWAN; LPWAN; wide-area networks; Performances evaluation},
	year = {2023},
	eissn = {1687-1499}
}

@article{MTMT:34217381,
	title = {Joint Power and Channel Allocation for Non-Orthogonal Multiple Access in 5G Networks and Beyond},
	url = {https://m2.mtmt.hu/api/publication/34217381},
	author = {Alghazali, Qusay and Al-Amaireh, Husam and Cinkler, Tibor},
	doi = {10.3390/s23198040},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {23},
	unique-id = {34217381},
	year = {2023},
	eissn = {1424-8220}
}

@article{MTMT:34208873,
	title = {Optimal Slicing of mmWave Micro Base Stations for 5G and Beyond},
	url = {https://m2.mtmt.hu/api/publication/34208873},
	author = {Fayad, Abdulhalim and Cinkler, Tibor},
	doi = {10.33969/J-NaNA.2023.030301},
	journal-iso = {J-NaNA},
	journal = {Journal of Networking and Network Applications},
	volume = {3},
	unique-id = {34208873},
	abstract = {5G and beyond 5G mobile networks are expected to cater to diverse needs by efficiently allocating network resources based on demand. Network slicing is a fundamental approach that involves segregating and allocating network resources distinctly to a group of users based on their individual needs, and it is widely recognized as an essential concept that caters to various requirements. Allocating such slices will encounter conflicting requests, and effectively implementing network slicing presents multiple challenges. Effective network slicing necessitates efficient management of priority levels among diverse slices. Network slicing necessitates efficient management of priority levels across various slices, specifically focusing on three distinctive categories: Ultra-Reliable Low Latency Communications (URLLC), enhanced Mobile Broadband (eMBB), and massive Machine Type Communications (mMTC). This paper proposes an optimization framework utilizing a Mixed Integer Linear Program (MILP) to allocate network resources for multiple slices efficiently. Our framework aims to maximize user satisfaction while ensuring that the specific requirements of each slice are met. We categorize the slices into three priority levels: the URLLC slice holds the highest priority, followed by the eMBB slice, and finally, the mMTC slice receives the least priority. By leveraging our proposed MILP-based approach, we dynamically assign network resources to different slices, considering their priority levels. This allocation strategy enables us to optimize resource utilization and effectively meet the diverse demands of users across various slices. Our framework provides a balance between meeting the stringent requirements of the URLLC slice, delivering high-quality services to the eMBB slice, and accommodating the massive connectivity needs of the mMTC slice.},
	year = {2023},
	eissn = {2689-7997},
	pages = {99-108}
}

@article{MTMT:34177677,
	title = {A Novel Approach to Enhance the Energy Efficiency of a NOMA Network},
	url = {https://m2.mtmt.hu/api/publication/34177677},
	author = {Rajab, Husam and Ren, B. and Cinkler, Tibor},
	doi = {10.3390/telecom4030027},
	journal-iso = {TELECOM},
	journal = {TELECOM (SWITZERLAND)},
	volume = {4},
	unique-id = {34177677},
	year = {2023},
	eissn = {2673-4001},
	pages = {611-628}
}

@article{MTMT:34084805,
	title = {5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy},
	url = {https://m2.mtmt.hu/api/publication/34084805},
	author = {Fayad, Abdulhalim and Cinkler, Tibor and Rak, Jacek},
	doi = {10.1109/ACCESS.2023.3300960},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {11},
	unique-id = {34084805},
	issn = {2169-3536},
	year = {2023},
	eissn = {2169-3536},
	pages = {82079-82094},
	orcid-numbers = {Rak, Jacek/0000-0001-7276-6097}
}

@inproceedings{MTMT:34033409,
	title = {A Comprehensive Performance Analysis of Stream Processing with Kafka in Cloud Native Deployments for IoT Use-cases},
	url = {https://m2.mtmt.hu/api/publication/34033409},
	author = {Pelle, István and Szőke, Bence and Fayad, Abdulhalim and Cinkler, Tibor and Toka, László},
	booktitle = {NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium},
	doi = {10.1109/NOMS56928.2023.10154377},
	unique-id = {34033409},
	year = {2023},
	pages = {1-6},
	orcid-numbers = {Pelle, István/0000-0003-2514-3019; Toka, László/0000-0003-1045-9205}
}

@article{MTMT:34020859,
	title = {5G/6G Optical Fronthaul Modelling: Cost and Energy Consumption Assessment},
	url = {https://m2.mtmt.hu/api/publication/34020859},
	author = {Fayad, Abdulhalim and Cinkler, Tibor and Rak, Jacek},
	doi = {10.1364/JOCN.486547},
	journal-iso = {J OPT COMMUN NETW},
	journal = {JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING},
	volume = {15},
	unique-id = {34020859},
	issn = {1943-0620},
	year = {2023},
	eissn = {1943-0639},
	pages = {D33-D46}
}

@inproceedings{MTMT:33673795,
	title = {Cost-Efficient Optical Fronthaul Architectures for 5G and Future 6G Networks},
	url = {https://m2.mtmt.hu/api/publication/33673795},
	author = {Fayad, Abdulhalim and Cinkler, Tibor and Rak, Jacek and Sonkoly, Balázs},
	booktitle = {2022 IEEE Future Networks World Forum, FNWF},
	doi = {10.1109/FNWF55208.2022.00051},
	unique-id = {33673795},
	year = {2022},
	pages = {249-254},
	orcid-numbers = {Sonkoly, Balázs/0000-0002-4640-388X}
}

@inproceedings{MTMT:33550652,
	title = {Cognitive Radio for Smart Grid: A Decentralized Emergency Management Approach},
	url = {https://m2.mtmt.hu/api/publication/33550652},
	author = {Rajab, Husam and Albujeer, Mohammed B. M. Kamel and Hamoud, Alaa Khalaf and Farag, Hossam and Cinkler, Tibor and Ligeti, Péter},
	booktitle = {2022 32nd International Telecommunication Networks and Applications Conference (ITNAC)},
	doi = {10.1109/ITNAC55475.2022.9998396},
	unique-id = {33550652},
	year = {2022},
	pages = {267-272},
	orcid-numbers = {Ligeti, Péter/0000-0002-3998-0515}
}