{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T19:56:52Z","timestamp":1780775812449,"version":"3.54.1"},"reference-count":41,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T00:00:00Z","timestamp":1660780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA2386-21-1-4073"],"award-info":[{"award-number":["FA2386-21-1-4073"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Mobility management is an essential process in mobile networks to ensure a high quality of service (QoS) for mobile user equipment (UE) during their movements. In fifth generation (5G) and beyond (B5G) mobile networks, mobility management becomes more critical due to several key factors, such as the use of Millimeter Wave (mmWave) and Terahertz, a higher number of deployed small cells, massive growth of connected devices, the requirements of a higher data rate, and the necessities for ultra-low latency with high reliability. Therefore, providing robust mobility techniques that enable seamless connections through the UE\u2019s mobility has become critical and challenging. One of the crucial handover (HO) techniques is known as mobility robustness optimization (MRO), which mainly aims to adjust HO control parameters (HCPs) (time-to-trigger (TTT) and handover margin (HOM)). Although this function has been introduced in 4G and developed further in 5G, it must be more efficient with future mobile networks due to several key challenges, as previously illustrated. This paper proposes a Robust Handover Optimization Technique with a Fuzzy Logic Controller (RHOT-FLC). The proposed technique aims to automatically configure HCPs by exploiting the information on Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and UE velocity as input parameters for the proposed technique. The technique is validated through various mobility scenarios in B5G networks. Additionally, it is evaluated using a number of major HO performance metrics, such as HO probability (HOP), HO failure (HOF), HO ping-pong (HOPP), HO latency (HOL), and HO interruption time (HIT). The obtained results have also been compared with other competitive algorithms from the literature. The results show that RHOT-FLC has achieved considerably better performance than other techniques. Furthermore, the RHOT-FLC technique obtains up to 95% HOP reduction, 95.8% in HOF, 97% in HOPP, 94.7% in HOL, and 95% in HIT compared to the competitive algorithms. Overall, RHOT-FLC obtained a substantial improvement of up to 95.5% using the considered HO performance metrics.<\/jats:p>","DOI":"10.3390\/s22166199","type":"journal-article","created":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T23:28:41Z","timestamp":1660865321000},"page":"6199","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Robust Handover Optimization Technique with Fuzzy Logic Controller for Beyond 5G Mobile Networks"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5152-4686","authenticated-orcid":false,"given":"Saddam","family":"Alraih","sequence":"first","affiliation":[{"name":"Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9254-2023","authenticated-orcid":false,"given":"Rosdiadee","family":"Nordin","sequence":"additional","affiliation":[{"name":"Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8514-1459","authenticated-orcid":false,"given":"Asma","family":"Abu-Samah","sequence":"additional","affiliation":[{"name":"Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibraheem","family":"Shayea","sequence":"additional","affiliation":[{"name":"Electronics and Communication Engineering Department, Istanbul Technical University, Istanbul 34467, Turkey"},{"name":"Wireless Communication Centre, School of Electrical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6593-5603","authenticated-orcid":false,"given":"Nor Fadzilah","family":"Abdullah","sequence":"additional","affiliation":[{"name":"Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0778-1869","authenticated-orcid":false,"given":"Abdulraqeb","family":"Alhammadi","sequence":"additional","affiliation":[{"name":"Communication Systems and Networks Research Lab, Malaysia-Japan International Institute of Technology, University Teknologi Malaysia, Kuala Lumpur 54100, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Alraih, S., Shayea, I., Behjati, M., Nordin, R., Abdullah, N.F., Abu-Samah, A., and Nandi, D. (2022). Revolution or Evolution? Technical Requirements and Considerations towards 6G Mobile Communications. Sensors, 22.","DOI":"10.3390\/s22030762"},{"key":"ref_2","unstructured":"Kasim, A.N. (2020). A Survey Mobility Management in 5G Networks. arXiv."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"172534","DOI":"10.1109\/ACCESS.2020.3023802","article-title":"Key challenges, drivers and solutions for mobility management in 5g networks: A survey","volume":"8","author":"Shayea","year":"2020","journal-title":"IEEE Access"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"77830","DOI":"10.1109\/ACCESS.2021.3083554","article-title":"Machine Learning\u2013Based Mobility Robustness Optimization Under Dynamic Cellular Networks","volume":"9","author":"Nguyen","year":"2021","journal-title":"IEEE Access"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1109\/MVT.2019.2959065","article-title":"Prediction-based conditional handover for 5G mm-Wave networks: A deep-learning approach","volume":"15","author":"Lee","year":"2020","journal-title":"IEEE Veh. Technol. Mag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"4296","DOI":"10.1109\/JIOT.2018.2848295","article-title":"Handover control in wireless systems via asynchronous multiuser deep reinforcement learning","volume":"5","author":"Wang","year":"2018","journal-title":"IEEE Internet Things J."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1007\/s11277-019-06463-2","article-title":"New weight function for adapting handover margin level over contiguous carrier aggregation deployment scenarios in LTE-advanced system","volume":"108","author":"Shayea","year":"2019","journal-title":"Wirel. Pers. Commun."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4043","DOI":"10.1109\/ACCESS.2019.2963069","article-title":"A novel heuristic for handover priority in mobile heterogeneous networks","volume":"8","author":"Souza","year":"2019","journal-title":"IEEE Access"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ait Mansour, A., Enneya, N., and Ouadou, M. (2018). A velocity-aware handover trigger in two-tier heterogeneous networks. Future Internet, 10.","DOI":"10.3390\/fi10010009"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1109\/MNET.2017.1600301","article-title":"Handover management in software-defined ultra-dense 5G networks","volume":"31","author":"Bilen","year":"2017","journal-title":"IEEE Netw."},{"key":"ref_11","first-page":"6015","article-title":"A universal predictive mobility management scheme for urban ultra-dense networks with control\/data plane separation","volume":"5","author":"Sun","year":"2017","journal-title":"IEEE Access"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1109\/TVT.2015.2402753","article-title":"Distance-based neighborhood scanning for handover purposes in network with small cells","volume":"65","author":"Vondra","year":"2015","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Alraih, S., Nordin, R., Shayea, I., Abdullah, N.F., and Alhammadi, A. (2021, January 7\u20138). Ping-Pong Handover Effect Reduction in 5G and Beyond Networks. Proceedings of the 2021 IEEE Microwave Theory and Techniques in Wireless Communications (MTTW), Riga, Latvia.","DOI":"10.1109\/MTTW53539.2021.9607205"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.1109\/TVT.2013.2247778","article-title":"On the potential of handover parameter optimization for self-organizing networks","volume":"62","author":"Barco","year":"2013","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"17178","DOI":"10.1109\/ACCESS.2018.2811047","article-title":"Adaptive hysteresis margin based on fuzzy logic for handover in mobile networks with dense small cells","volume":"6","author":"Silva","year":"2018","journal-title":"IEEE Access"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4672","DOI":"10.1109\/TVT.2017.2787602","article-title":"Mobility robustness optimization for handover failure reduction in LTE small-cell networks","volume":"67","author":"Nguyen","year":"2017","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_17","unstructured":"NS3, LENA (2015, February 01). LTE-EPC Network Simulator (LENA). Available online: https:\/\/www.nsnam.org\/."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1007\/s11276-016-1348-2","article-title":"Optimization of user behavior based handover using fuzzy Q-learning for LTE networks","volume":"24","author":"Hegazy","year":"2018","journal-title":"Wirel. Netw."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1109\/TVT.2010.2091660","article-title":"Simulating LTE cellular systems: An open-source framework","volume":"60","author":"Piro","year":"2010","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"945","DOI":"10.12720\/jcm.14.10.945-950","article-title":"Fuzzy-TOPSIS based optimal handover decision-making algorithm for fifth-generation of mobile communications system","volume":"14","author":"Liu","year":"2019","journal-title":"J. Commun."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Goyal, R., Goyal, T., Kaushal, S., and Kumar, H. (2019). Fuzzy AHP Based Technique for Handover Optimization in Heterogeneous Network. Proceedings of 2nd International Conference on Communication, Computing and Networking, Springer.","DOI":"10.1007\/978-981-13-1217-5_29"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Alhammadi, A., Roslee, M., Alias, M.Y., Shayea, I., Alriah, S., and Abas, A.B. (2019, January 3\u20135). Advanced handover self-optimization approach for 4G\/5G HetNets using weighted fuzzy logic control. Proceedings of the 2019 15th International Conference on Telecommunications (ConTEL), Graz, Austria.","DOI":"10.1109\/ConTEL.2019.8848507"},{"key":"ref_23","unstructured":"3GPP (2019, January 01). TS 36.839, Evolved Universal Terrestrial Radio Access (E-UTRA); Mobility Enhancements in Heterogeneous Networks; (Release 11). Available online: https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=2540."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2991","DOI":"10.1007\/s11277-021-08595-w","article-title":"Handover Performance Evaluation Under Dynamic User Characteristics","volume":"120","author":"Lema","year":"2021","journal-title":"Wirel. Pers. Commun."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Gharbia, M.B., and Bouallegue, R. (2018, January 1\u20133). Handover Decision Algorithm in Femtocell Long Term Evolution Networks. Proceedings of the 2018 Seventh International Conference on Communications and Networking (ComNet), Hammamet, Tunisia.","DOI":"10.1109\/COMNET.2018.8622167"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Yao, D., Su, X., Liu, B., and Zeng, J. (2018, January 26\u201329). A mobile handover mechanism based on fuzzy logic and MPTCP protocol under SDN architecture. Proceedings of the 2018 18th International Symposium on Communications and Information Technologies (ISCIT), Bangkok, Thailand.","DOI":"10.1109\/ISCIT.2018.8587956"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Saeed, M., El-Ghoneimy, M., and Kamal, H. (2017, January 13\u201316). An enhanced fuzzy logic optimization technique based on user mobility for LTE handover. Proceedings of the 2017 34th National Radio Science Conference (NRSC), Alexandria, Egypt.","DOI":"10.1109\/NRSC.2017.7893481"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Silva, K.C., Becvar, Z., Cardoso, E.H., and Franc\u00eas, C.R. (2018, January 15\u201318). Self-tuning handover algorithm based on fuzzy logic in mobile networks with dense small cells. Proceedings of the 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain.","DOI":"10.1109\/WCNC.2018.8376964"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Chen, Y.-S., Chang, Y.-J., Tsai, M.-J., and Sheu, J.-P. (April, January 29). Fuzzy-Logic-Based Handover Algorithm for 5G Networks. Proceedings of the 2021 IEEE Wireless Communications and Networking Conference (WCNC), Nanjing, China.","DOI":"10.1109\/WCNC49053.2021.9417298"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Cicio\u011flu, M. (2021, January 9\u201311). Fuzzy Logic based Handover Management in Small Cell Networks. Proceedings of the 2021 29th Signal Processing and Communications Applications Conference (SIU), Istanbul, Turkey.","DOI":"10.1109\/SIU53274.2021.9477934"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"El Banna, R., ELAttar, H.M., and Abou El-Dahab, M.M. (July, January 30). Fast Adaptive Handover using Fuzzy Logic for 5G Communications on High Speed Trains. Proceedings of the 2021 16th International Conference on Telecommunications (ConTEL), Zagreb, Croatia.","DOI":"10.23919\/ConTEL52528.2021.9495988"},{"key":"ref_32","unstructured":"3GPP (2021, October 01). TS 36.133, Evolved Universal Terrestrial Radio Access (E-UTRA); Requirements for Support of Radio Resource Management; (Release 16). Available online: https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=2420."},{"key":"ref_33","unstructured":"NOVELSAT (2021, November 13). Building the Future of 5G Video. Available online: https:\/\/novelsat.com\/wp-content\/uploads\/2021\/09\/NOVELSAT-Whitepaper-Building-the-Future-of-5G-Video-1.pdf."},{"key":"ref_34","unstructured":"Stack, T.N. (2022, January 08). The Impact Video Data Traffic Has on Net Neutrality. Available online: https:\/\/thenewstack.io\/video-will-increasingly-crowd-data\/."},{"key":"ref_35","unstructured":"3GPP (2021, October 03). Release 16. Available online: https:\/\/www.3gpp.org\/release-16."},{"key":"ref_36","unstructured":"IWPC (2021, December 20). T.I.W.I.C. 5G Millimeter Wave Frequencies and Mobile Networks; (Whitepaper). Available online: https:\/\/www.skyworksinc.com\/-\/media\/SkyWorks\/Documents\/Articles\/IWPC_062019.pdf."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"13992","DOI":"10.1109\/ACCESS.2017.2727550","article-title":"5G cellular user equipment: From theory to practical hardware design","volume":"5","author":"Huo","year":"2017","journal-title":"IEEE Access"},{"key":"ref_38","unstructured":"3GPP (2021, November 16). TR 38.901, Study on Channel Model for Frequencies from 0.5 to 100 GHz; (Release 16). Available online: https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=3173."},{"key":"ref_39","unstructured":"3GPP (2021, October 22). TR 36.881, Study on Latency Reduction Techniques for LTE; (Release 14). Available online: https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=2901."},{"key":"ref_40","unstructured":"Ericsson (2021, October 08). Reducing Mobility Interruption Time in 5G Networks. Available online: https:\/\/www.ericsson.com\/en\/blog\/2020\/4\/reducing-mobility-interruption-time-5g-networks."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/MNET.2018.1700235","article-title":"Handover mechanism in NR for ultra-reliable low-latency communications","volume":"32","author":"Park","year":"2018","journal-title":"IEEE Netw."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/16\/6199\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:11:49Z","timestamp":1760141509000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/16\/6199"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,18]]},"references-count":41,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2022,8]]}},"alternative-id":["s22166199"],"URL":"https:\/\/doi.org\/10.3390\/s22166199","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,18]]}}}