{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T03:10:43Z","timestamp":1768619443169,"version":"3.49.0"},"reference-count":24,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T00:00:00Z","timestamp":1660435200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ministry of food and drug safety","award":["21163MFDS502"],"award-info":[{"award-number":["21163MFDS502"]}]},{"name":"ministry of food and drug safety","award":["2021R1A2C2014333"],"award-info":[{"award-number":["2021R1A2C2014333"]}]},{"name":"National Research Foundation of Korea (NRF)","award":["21163MFDS502"],"award-info":[{"award-number":["21163MFDS502"]}]},{"name":"National Research Foundation of Korea (NRF)","award":["2021R1A2C2014333"],"award-info":[{"award-number":["2021R1A2C2014333"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Fifth-generation (5G) technology is anticipated to allow a slew of novel applications across a variety of industries. The wireless communication of the 5G and Beyond-5G (B5G) networks will accommodate a wide variety of services and user expectations, including intense end-user connectivity, sub-1 ms delay, and a transmission rate of 100 Gbps. Network slicing is envisioned as an appropriate technique that can meet these disparate requirements. The intrinsic qualities of a blockchain, which has lately acquired prominence, mean that it is critical for the 5G network and B5G networks. In particular, the incorporation of blockchain technology into B5G enables the network to effectively monitor and control resource utilization and sharing. Using blockchain technology, a network-slicing architecture referred to as the Blockchain Consensus Framework is introduced that allows resource providers to dynamically contract resources, especially the radio access network (RAN) schedule, to guarantee that their end-to-end services are effortlessly executed. The core of our methodology is comprehensive service procurement, which offers the fine-grained adaptive allocation of resources through a blockchain-based consensus mechanism. Our objective is to have Primary User\u2014Secondary User (PU\u2014SU) interactions with a variety of services, while minimizing the operation and maintenance costs of the 5G service providers. A Blockchain-Enabled Network Slicing Model (BENS), which is a learning-based algorithm, is incorporated to handle the spectrum resource allocation in a sophisticate manner. The performance and inferences of the proposed work are analyzed in detail.<\/jats:p>","DOI":"10.3390\/s22166068","type":"journal-article","created":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T23:44:03Z","timestamp":1660607043000},"page":"6068","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["BENS\u2212B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1118-9569","authenticated-orcid":false,"given":"Saurabh","family":"Singh","sequence":"first","affiliation":[{"name":"Department of Industrial and System Engineering, Dongguk University, Seoul 04620, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5059-5247","authenticated-orcid":false,"given":"C. Rajesh","family":"Babu","sequence":"additional","affiliation":[{"name":"Department of Networking and Communications, SRM Institute of Science and Technology, Chennai 603203, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4604-846X","authenticated-orcid":false,"given":"Kadiyala","family":"Ramana","sequence":"additional","affiliation":[{"name":"Department of IT, Chaitanya Bharathi Institute Technology, Hyderabad 500075, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3936-1116","authenticated-orcid":false,"given":"In-Ho","family":"Ra","sequence":"additional","affiliation":[{"name":"School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan 54150, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1110-4011","authenticated-orcid":false,"given":"Byungun","family":"Yoon","sequence":"additional","affiliation":[{"name":"Department of Industrial and System Engineering, Dongguk University, Seoul 04620, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"An, N., Kim, Y., Park, J., Kwon, D.H., and Lim, H. (2019). Slice management for quality of service differentiation in wireless network slicing. Sensors, 19.","DOI":"10.3390\/s19122745"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Theodorou, V., Lekidis, A., Bozios, T., Meth, K., Fernandez-Fernandez, A., Tavlor, J., Diogo, P., Martins, P., and Behravesh, R. (2021, January 8\u201311). Blockchain-based zero touch service assurance in cross-domain network slicing. Proceedings of the 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC\/6G Summit, Porto, Portugal.","DOI":"10.1109\/EuCNC\/6GSummit51104.2021.9482602"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Zanzi, L., Albanese, A., Sciancalepore, V., and Costa-Perez, X. (2020, January 7\u201311). NSBchain: A Secure Blockchain Framework for Network Slicing Brokerage. Proceedings of the IEEE International Conference on Communications, Dublin, Ireland.","DOI":"10.1109\/ICC40277.2020.9149414"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Sattar, D., and Matrawy, A. (2019, January 10\u201312). Towards Secure Slicing: Using Slice Isolation to Mitigate DDoS Attacks on 5G Core Network Slices. Proceedings of the 2019 IEEE Conference on Communications and Network Security, CNS, Washington, WA, USA.","DOI":"10.1109\/CNS.2019.8802852"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1007\/s11036-021-01745-1","article-title":"Distributed Network Slicing Management Using Blockchains in E-Health Environments","volume":"26","author":"Villaca","year":"2021","journal-title":"Mob. Netw. Appl."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/MIC.2017.3481355","article-title":"Network Slicing for 5G: Challenges and Opportunities","volume":"21","author":"Li","year":"2018","journal-title":"IEEE Internet Comput."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Makarfi, A.U., Kharel, R., Rabie, K.M., Kaiwartya, O., Li, X., and Do, D.-T. (2022, February 20). Reconfigurable Intelligent Surfaces Based Cognitive Radio Networks. Available online: http:\/\/arxiv.org\/abs\/2008.10946.","DOI":"10.1109\/WCNCW49093.2021.9419976"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"110884","DOI":"10.1109\/ACCESS.2019.2932016","article-title":"Deep Reinforcement Learning Based Intelligent User Selection in Massive MIMO Underlay Cognitive Radios","volume":"7","author":"Shi","year":"2019","journal-title":"IEEE Access"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Yau, K.L.A., Komisarczuk, P., and Paul, D.T. (2010, January 10\u201314). Enhancing network performance in Distributed Cognitive Radio Networks using single-agent and multi-agent Reinforcement Learning. Proceedings of the Local Computer Networks, LCN, Denver, CO, USA.","DOI":"10.1109\/LCN.2010.5735689"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"6923867","DOI":"10.1155\/2018\/6923867","article-title":"Orchestration and Control in Software-Defined 5G Networks: Research Challenges","volume":"2018","author":"Nencioni","year":"2018","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_11","first-page":"1550147718811828","article-title":"Primary user characterization for cognitive radio wireless networks using long short-term memory","volume":"14","author":"Vera","year":"2018","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_12","unstructured":"Ding, A.Y., and Janssen, M. (2018, January 8\u20139). 5G Applications: Requirements, Challenges, and Outlook. Proceedings of the Seventh International Conference on Telecommunications and Remote Sensing, Barcelona, Spain."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"25463","DOI":"10.1109\/ACCESS.2018.2831240","article-title":"Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach","volume":"6","author":"Li","year":"2018","journal-title":"IEEE Access"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1016\/j.telpol.2017.04.003","article-title":"Next generation of radio spectrum management: Licensed shared access for 5G","volume":"41","author":"Massaro","year":"2017","journal-title":"Telecommun. Policy"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1109\/TMC.2016.2567387","article-title":"Analytical Evaluation of Saturation Throughput of a Cognitive WLAN Overlaid on a Time-Scheduled OFDMA Network","volume":"16","author":"Rahimzadeh","year":"2017","journal-title":"IEEE Trans. Mob. Comput."},{"key":"ref_16","unstructured":"Wu, Q., Wang, Y., Yin, Z., Deng, H., and Wu, C. (2022, February 20). A Novel Approach of Cognitive Base Station with Dynamic Spectrum Management for High-Speed Rail. Available online: https:\/\/openreview.net\/forum?id=B1bmYVz_br."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1186\/s13638-017-0876-5","article-title":"Optimal spectrum access and power control of secondary users in cognitive radio networks","volume":"2017","author":"Yang","year":"2017","journal-title":"Eurasip J. Wirel. Commun. Netw."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Rajesh Babu, C., and Amutha, B. (2020). Blockchain and extreme learning machine based spectrum management in cognitive radio networks. Trans. Emerg. Telecommun. Technol., e4174.","DOI":"10.1002\/ett.4174"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2452","DOI":"10.1007\/s12083-020-00990-7","article-title":"A novel energy-efficient data aggregation protocol for cognitive radio based wireless multimedia networks","volume":"14","author":"Babu","year":"2021","journal-title":"Peer Peer Netw. Appl."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Nasser, A., Hassan, H.A.H., Chaaya, J.A., Mansour, A., and Yao, K.C. (2021). Spectrum sensing for cognitive radio: Recent advances and future challenge. Sensors, 21.","DOI":"10.3390\/s21072408"},{"key":"ref_21","unstructured":"Mockel, B.P., and Makala, B. (2022, July 01). Artificial Intelligence and 5G Mobile Technology Can Drive Investment Opportunities in Emerging Markets. Available online: https:\/\/openknowledge.worldbank.org\/bitstream\/handle\/10986\/33388\/Artificial-Intelligence-and-5G-Mobile-Technology-Can-Drive-Investment-Opportunities-in-Emerging-Markets.pdf?sequence=1."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Arasteh, S., Aghili, S.F., and Mala, H. (2016, January 7\u20138). A new lightweight authentication and key agreement protocol for Internet of Things. Proceedings of the 13th International ISC Conference on Information Security and Cryptology, ISCISC, Tehran, Iran.","DOI":"10.1109\/ISCISC.2016.7736451"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"88547","DOI":"10.1109\/ACCESS.2020.2992385","article-title":"Smart Contract-Based Spectrum Sharing Transactions for Multi-Operators Wireless Communication Networks","volume":"8","author":"Zheng","year":"2020","journal-title":"IEEE Access"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Kotobi, K., and Bilen, S.G. (2017, January 26\u201328). Blockchain-enabled spectrum access in cognitive radio networks. Proceedings of the Wireless Telecommunications Symposium, Chicago, IL, USA.","DOI":"10.1109\/WTS.2017.7943523"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/16\/6068\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:08:29Z","timestamp":1760141309000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/16\/6068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,14]]},"references-count":24,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2022,8]]}},"alternative-id":["s22166068"],"URL":"https:\/\/doi.org\/10.3390\/s22166068","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,14]]}}}