TY - JOUR AU - Fayad, Abdulhalim AU - Cinkler, Tibor TI - Energy-Efficient Joint User and Power Allocation in 5G Millimeter Wave Networks: A Genetic Algorithm-based Approach JF - IEEE ACCESS J2 - IEEE ACCESS VL - 12 PY - 2024 SP - 20019 EP - 20030 PG - 12 SN - 2169-3536 DO - 10.1109/ACCESS.2024.3361660 UR - https://m2.mtmt.hu/api/publication/34559046 ID - 34559046 N1 - Export Date: 19 February 2024 LA - English DB - MTMT ER - TY - JOUR AU - Rajab, Husam AU - Al-Amaireh, Husam AU - Bouguera, T. AU - Cinkler, Tibor TI - Evaluation of energy consumption of LPWAN technologies JF - EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING J2 - EURASIP J WIREL COMM VL - 2023 PY - 2023 IS - 1 PG - 26 SN - 1687-1472 DO - 10.1186/s13638-023-02322-8 UR - https://m2.mtmt.hu/api/publication/34448269 ID - 34448269 N1 - Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Budapest, Hungary Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary University of Bretagne Loire, Polytech Nantes, IETR, Nantes, 44300, France Export Date: 22 December 2023 Correspondence Address: Rajab, H.; Department of Telecommunications and Media Informatics, Hungary; email: husamrajab@tmit.bme.hu Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI, 2018-1.3.1-VKE-2018-00005 Funding details: Tempus Közalapítvány, TPF Funding text 1: This work was supported by the Ericsson - BME 5 G joint research and cooperation project, partly funded by the National Research, Development and Innovation Office, Hungary with project number 2018-1.3.1-VKE-2018-00005. Funding text 2: This research is supported by Tempus Public Foundation, Stipendium Hungaricum Scholarship Programme and High Speed Networks Lab, Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics. AB - 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). LA - English DB - MTMT ER - TY - JOUR AU - Alghazali, Qusay AU - Al-Amaireh, Husam AU - Cinkler, Tibor TI - Joint Power and Channel Allocation for Non-Orthogonal Multiple Access in 5G Networks and Beyond JF - SENSORS J2 - SENSORS-BASEL VL - 23 PY - 2023 IS - 19 SN - 1424-8220 DO - 10.3390/s23198040 UR - https://m2.mtmt.hu/api/publication/34217381 ID - 34217381 N1 - Export Date: 26 October 2023 Correspondence Address: Alghazali, Q.; Faculty of Electrical Engineering and Informatics, Hungary; email: qusay@gsuite.tmit.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Fayad, Abdulhalim AU - Cinkler, Tibor TI - Optimal Slicing of mmWave Micro Base Stations for 5G and Beyond JF - Journal of Networking and Network Applications J2 - J-NaNA VL - 3 PY - 2023 IS - 3 SP - 99 EP - 108 PG - 10 SN - 2689-7997 DO - 10.33969/J-NaNA.2023.030301 UR - https://m2.mtmt.hu/api/publication/34208873 ID - 34208873 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Rajab, Husam AU - Ren, B. AU - Cinkler, Tibor TI - A Novel Approach to Enhance the Energy Efficiency of a NOMA Network JF - TELECOM (SWITZERLAND) J2 - TELECOM VL - 4 PY - 2023 IS - 3 SP - 611 EP - 628 PG - 18 SN - 2673-4001 DO - 10.3390/telecom4030027 UR - https://m2.mtmt.hu/api/publication/34177677 ID - 34177677 N1 - Export Date: 6 October 2023 Correspondence Address: Rajab, H.; Faculty of Electrical Engineering and Informatics, Magyar Tudósok Krt.2, Hungary; email: husamrajab@tmit.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Fayad, Abdulhalim AU - Cinkler, Tibor AU - Rak, Jacek TI - 5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy JF - IEEE ACCESS J2 - IEEE ACCESS VL - 11 PY - 2023 SP - 82079 EP - 82094 PG - 16 SN - 2169-3536 DO - 10.1109/ACCESS.2023.3300960 UR - https://m2.mtmt.hu/api/publication/34084805 ID - 34084805 N1 - Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Hungary Department of Computer Communications, Gdańsk University of Technology G. Narutowicza 11/12, Gdańsk, Poland Export Date: 14 August 2023 LA - English DB - MTMT ER - TY - CHAP AU - Pelle, István AU - Szőke, Bence AU - Fayad, Abdulhalim AU - Cinkler, Tibor AU - Toka, László ED - Akkaya, K ED - Festor, O ED - Fung, C ED - Rahman, M A ED - Granville, L Z ED - dos Santos, C R A TI - A Comprehensive Performance Analysis of Stream Processing with Kafka in Cloud Native Deployments for IoT Use-cases T2 - NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium PB - IEEE CY - Piscataway (NJ) SN - 9781665477161 PY - 2023 SP - 1 EP - 6 PG - 6 DO - 10.1109/NOMS56928.2023.10154377 UR - https://m2.mtmt.hu/api/publication/34033409 ID - 34033409 N1 - Hsn Lab, Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Muegyetem rkp. 3., Budapest, H-1111, Hungary ELKH-BME Cloud Applications Research Group, Muegyetem rkp. 3., Budapest, H-1111, Hungary MTA-BME Network Softwarization Research Group, Muegyetem rkp. 3., Budapest, H-1111, Hungary Export Date: 27 July 2023 Correspondence Address: Pelle, I.; Hsn Lab, Muegyetem rkp. 3., Hungary; email: pelle.istvan@vik.bme.hu LA - English DB - MTMT ER - TY - JOUR AU - Fayad, Abdulhalim AU - Cinkler, Tibor AU - Rak, Jacek TI - 5G/6G Optical Fronthaul Modelling: Cost and Energy Consumption Assessment JF - JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING J2 - J OPT COMMUN NETW VL - 15 PY - 2023 IS - 9 SP - D33 EP - D46 SN - 1943-0620 DO - 10.1364/JOCN.486547 UR - https://m2.mtmt.hu/api/publication/34020859 ID - 34020859 N1 - Export Date: 24 August 2023 Correspondence Address: Fayad, A.; Department of Telecommunications and Media Informatics, Hungary; email: fayad@tmit.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Fayad, Abdulhalim AU - Cinkler, Tibor AU - Rak, Jacek AU - Sonkoly, Balázs TI - Cost-Efficient Optical Fronthaul Architectures for 5G and Future 6G Networks T2 - 2022 IEEE Future Networks World Forum, FNWF PB - IEEE CY - Montreal SN - 9781665462501 PY - 2022 SP - 249 EP - 254 PG - 6 DO - 10.1109/FNWF55208.2022.00051 UR - https://m2.mtmt.hu/api/publication/33673795 ID - 33673795 N1 - Budapest University of Technology and Economics, Department of Telecommunications and Media Informatics, Hungary ELKH-BME Cloud Applications Research Group, Hungary Gdansk University of Technology, Department of Computer Communications, Gdansk, Poland LA - English DB - MTMT ER - TY - CHAP AU - Rajab, Husam AU - Albujeer, Mohammed B. M. Kamel AU - Hamoud, Alaa Khalaf AU - Farag, Hossam AU - Cinkler, Tibor AU - Ligeti, Péter TI - Cognitive Radio for Smart Grid: A Decentralized Emergency Management Approach T2 - 2022 32nd International Telecommunication Networks and Applications Conference (ITNAC) PB - IEEE CY - Danvers (MA) SN - 9781665471039 PY - 2022 SP - 267 EP - 272 PG - 6 DO - 10.1109/ITNAC55475.2022.9998396 UR - https://m2.mtmt.hu/api/publication/33550652 ID - 33550652 N1 - Funding Agency and Grant Number: Ministry of Innovation and Technology from the National Research, Development and Innovation Fund [TKP2021-NVA-29] Funding text: This research was partially supported by Project no. TKP2021-NVA-29 has been implemented with the support provided by the Ministry of Innovation and Technology from the National Research, Development and Innovation Fund. LA - English DB - MTMT ER -