{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:24:33Z","timestamp":1759335873249,"version":"3.37.3"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T00:00:00Z","timestamp":1660003200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T00:00:00Z","timestamp":1660003200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100010418","name":"Institute for Information and Communications Technology Promotion","doi-asserted-by":"publisher","award":["2022-0-01015"],"award-info":[{"award-number":["2022-0-01015"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010418","name":"Institute for Information and Communications Technology Promotion","doi-asserted-by":"crossref","award":["IITP-2022-2021-0-01810"],"award-info":[{"award-number":["IITP-2022-2021-0-01810"]}],"id":[{"id":"10.13039\/501100010418","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Netw Syst Manage"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1007\/s10922-022-09681-5","type":"journal-article","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T20:02:54Z","timestamp":1660075374000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["PDRAS: Priority-Based Dynamic Resource Allocation Scheme in 5G Network Slicing"],"prefix":"10.1007","volume":"30","author":[{"given":"Haneul","family":"Ko","sequence":"first","affiliation":[]},{"given":"Jaewook","family":"Lee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1085-1568","authenticated-orcid":false,"given":"Sangheon","family":"Pack","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,8,9]]},"reference":[{"key":"9681_CR1","doi-asserted-by":"crossref","unstructured":"3GPP TR 28.801: Study on management and orchestration of network slicing for next generation network (Release 15), version 15.1.0, Jan (2018)","DOI":"10.21820\/23987073.2018.15"},{"key":"9681_CR2","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1007\/s10922-020-09522-3","volume":"28","author":"A Chiha","year":"2020","unstructured":"Chiha, A., Wee, M., Colle, D., Verbrugge, S.: Network slicing cost allocation model. J. Netw. Syst. Manag. 28, 627\u2013659 (2020)","journal-title":"J. Netw. Syst. Manag."},{"issue":"6","key":"9681_CR3","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/MCOM.2017.1601119","volume":"55","author":"Adlen Ksentini","year":"2017","unstructured":"Ksentini, Adlen, Nikaein, Navid: Toward enforcing network slicing on RAN: flexibility and resources abstraction. IEEE Commun. Mag. 55(6), 102\u2013108 (2017)","journal-title":"IEEE Commun. Mag."},{"key":"9681_CR4","doi-asserted-by":"crossref","unstructured":"Camelo, M., Cominardi, L., Gramaglia, M., Fiore, M., Garcia-Saavedra, A., Fuentes, L., Vleeschauwer, D., Soto, P., Slamnik-Krijestorac, N., Ballesteros, J., Chang, C., Baldoni, G., Marquez-Barja, J., Hellinckx, P., Latre, S.: Requirements and Specifications for the Orchestration of Network Intelligence in 6G. In: Proc. IEEE CCNC 2022 Workshop, Jan (2022)","DOI":"10.1109\/CCNC49033.2022.9700729"},{"key":"9681_CR5","doi-asserted-by":"crossref","unstructured":"Ko, H., Lee, J., Pack, S.: Priority-based dynamic resource allocation scheme in network slicing. In: Proc. SoftNET 2021 (Conjunction with ICOIN 2021), Jan (2021)","DOI":"10.1109\/ICOIN50884.2021.9333944"},{"key":"9681_CR6","doi-asserted-by":"crossref","unstructured":"Ko, H., Lee, J., Pack, S.: Technical report: priority-based dynamic resource allocation scheme in network slicing. In: Technical Report, Oct (2021). https:\/\/shorturl.at\/mtwUY","DOI":"10.1109\/ICOIN50884.2021.9333944"},{"issue":"1","key":"9681_CR7","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TVT.2020.3047800","volume":"70","author":"W Zhang","year":"2021","unstructured":"Zhang, W., Wang, Q., Liu, X., Liu, Y., Chen, Y.: Three-dimension trajectory design for multi-UAV wireless network with deep reinforcement learning. IEEE Trans. Vehic. Technol. (TVT) 70(1), 600\u2013612 (2021)","journal-title":"IEEE Trans. Vehic. Technol. (TVT)"},{"issue":"12","key":"9681_CR8","first-page":"7881","volume":"19","author":"H He","year":"2020","unstructured":"He, H., Shan, H., Huang, A., Ye, Q., Zhuang, W.: Edge-aided computing and transmission scheduling for LTE-U-enabled IoT. IEEE Trans. Wirel. Commun. (TWC) 19(12), 7881\u20137896 (2020)","journal-title":"IEEE Trans. Wirel. Commun. (TWC)"},{"key":"9681_CR9","doi-asserted-by":"publisher","first-page":"122229","DOI":"10.1109\/ACCESS.2020.3006502","volume":"8","author":"T Li","year":"2020","unstructured":"Li, T., Zhu, X., Liu, X.: An end-to-end network slicing algorithm based on deep Q-learning for 5G network. IEEE Access 8, 122229\u2013122240 (2020)","journal-title":"IEEE Access"},{"key":"9681_CR10","doi-asserted-by":"publisher","first-page":"68183","DOI":"10.1109\/ACCESS.2020.2986050","volume":"8","author":"Y Abiko","year":"2020","unstructured":"Abiko, Y., Saito, T., Ikeda, D., Ohta, K., Mizuno, T., Mineno, H.: Flexible resource block allocation to multiple slices for radio access network slicing using deep reinforcement learning. IEEE Access 8, 68183\u201368198 (2020)","journal-title":"IEEE Access"},{"key":"9681_CR11","unstructured":"Messaoud, S., Bradai, A., Ahmed, O., Quang, P., Atri, M., Hossain, M.: Deep federated Q-learning-based network slicing for industrial IoT. IEEE Trans. Ind. Inf. (TII) (to appear)"},{"issue":"2","key":"9681_CR12","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1109\/JSAC.2019.2959185","volume":"38","author":"Y Hua","year":"2020","unstructured":"Hua, Y., Li, R., Zhao, Z., Chen, X., Zhang, H.: GAN-powered deep distributional reinforcement learning for resource management in network slicing. IEEE J. Select. Areas Commun. (JSAC) 38(2), 334\u2013349 (2020)","journal-title":"IEEE J. Select. Areas Commun. (JSAC)"},{"key":"9681_CR13","unstructured":"Wang, H., Wu, Y., Min, G., Miao, W.: A graph neural network-based digital twin for network slicing management. IEEE Trans. Ind. Inf. (TII) (to appear)"},{"issue":"6","key":"9681_CR14","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.1109\/JSAC.2019.2904371","volume":"37","author":"N Huynh","year":"2019","unstructured":"Huynh, N., Hoang, D., Nguyen, D., Dutkiewicz, E.: Optimal and fast real-time resource slicing with deep dueling neural networks. IEEE J. Select. Areas Commun. (JSAC) 37(6), 1455\u20131470 (2019)","journal-title":"IEEE J. Select. Areas Commun. (JSAC)"},{"key":"9681_CR15","doi-asserted-by":"crossref","unstructured":"Sciancalepore, V., Samdanis, K., Costa-Perez, X., Bega, D., Gramaglia, M., Banchs, A.: Mobile traffic forecasting for maximizing 5G network slicing resource utilization. In: Proc. IEEE INFOCOM 2017, May (2017)","DOI":"10.1109\/INFOCOM.2017.8057230"},{"issue":"6","key":"9681_CR16","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/MCOM.001.1900653","volume":"58","author":"D Bega","year":"2020","unstructured":"Bega, D., Gramaglia, M., Garcia-Saavedra, A., Fiore, M., Banchs, A., Costa-Perez, X.: Network slicing meets artificial intelligence: an AI-based framework for slice management. IEEE Commun. Mag. 58(6), 32\u201338 (2020)","journal-title":"IEEE Commun. Mag."},{"issue":"3","key":"9681_CR17","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1109\/JSAC.2019.2894305","volume":"37","author":"H Halabian","year":"2019","unstructured":"Halabian, H.: Distributed resource allocation optimization in 5G virtualized networks. IEEE J. Select. Areas Commun. (JSAC) 37(3), 627\u2013642 (2019)","journal-title":"IEEE J. Select. Areas Commun. (JSAC)"},{"issue":"10","key":"9681_CR18","doi-asserted-by":"publisher","first-page":"11811","DOI":"10.1109\/TVT.2020.3019217","volume":"69","author":"Y Han","year":"2020","unstructured":"Han, Y., Tao, X., Zhang, X., Jia, S.: Hierarchical resource allocation in multi-service wireless networks with wireless network virtualization. IEEE Trans. Vehic. Technol. (TVT) 69(10), 11811\u201311827 (2020)","journal-title":"IEEE Trans. Vehic. Technol. (TVT)"},{"issue":"7","key":"9681_CR19","doi-asserted-by":"publisher","first-page":"7863","DOI":"10.1109\/TVT.2020.2992607","volume":"69","author":"J Feng","year":"2020","unstructured":"Feng, J., Pei, Q., Yu, F., Chu, X., Du, J., Zhu, L.: Dynamic network slicing and resource allocation in mobile edge computing systems. IEEE Trans. Vehic. Technol. (TVT) 69(7), 7863\u20137878 (2020)","journal-title":"IEEE Trans. Vehic. Technol. (TVT)"},{"issue":"8","key":"9681_CR20","doi-asserted-by":"publisher","first-page":"8886","DOI":"10.1109\/TVT.2020.2996966","volume":"69","author":"T Tran","year":"2020","unstructured":"Tran, T., Le, L.: Resource allocation for multi-tenant network slicing: a multi-leader multi-follower Stackelberg game approach. IEEE Trans. Vehic. Technol. (TVT) 69(8), 8886\u20138899 (2020)","journal-title":"IEEE Trans. Vehic. Technol. (TVT)"},{"key":"9681_CR21","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1007\/s10922-018-9484-x","volume":"27","author":"M Richart","year":"2019","unstructured":"Richart, M., Baliosian, J., Serrat, J., Gorricho, J., Aguero, R.: Slicing in WiFi networks through airtime? Based resource allocation. J. Netw. Syst. Manag. 27, 784\u2013814 (2019)","journal-title":"J. Netw. Syst. Manag."},{"key":"9681_CR22","unstructured":"Lieto, A., Malanchini, I., Mandelli, S., Moro, E., Capone, A.: Strategic Network Slicing Management in Radio Access Networks. IEEE Trans. Mobile Comput. (TMC) (to appear)"},{"key":"9681_CR23","doi-asserted-by":"crossref","unstructured":"Guan, W., Zhang, H., Leung, V.: Slice reconfiguration based on demand prediction with dueling deep reinforcement learning. In: Proc. IEEE GLOBCOM 2020, Dec (2020)","DOI":"10.1109\/GLOBECOM42002.2020.9322180"},{"issue":"3","key":"9681_CR24","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1109\/TNET.2020.2979667","volume":"28","author":"F Fossati","year":"2020","unstructured":"Fossati, F., Moretti, S., Perny, P., Secci, S.: Multi-resource allocation for network slicing. IEEE\/ACM Trans. Netw. (ToN) 28(3), 1311\u20131324 (2020)","journal-title":"IEEE\/ACM Trans. Netw. (ToN)"},{"issue":"2","key":"9681_CR25","first-page":"11811","volume":"69","author":"H Chien","year":"2020","unstructured":"Chien, H., Lin, Y., Lai, C., Wang, C.: End-to-end slicing with optimized communication and computing resource allocation in multi-tenant 5G systems. IEEE Trans. Vehic. Technol. (TVT) 69(2), 11811\u201311827 (2020)","journal-title":"IEEE Trans. Vehic. Technol. (TVT)"},{"issue":"11","key":"9681_CR26","doi-asserted-by":"publisher","first-page":"2594","DOI":"10.1109\/TMC.2019.2930059","volume":"19","author":"I Afolabi","year":"2020","unstructured":"Afolabi, I., Prados-Garzon, J., Bagaa, M., Taleb, T., Ameigeiras, P.: Dynamic resource provisioning of a scalable E2E network slicing orchestration system. IEEE Trans. Mobile Comput. (TMC) 19(11), 2594\u20132608 (2020)","journal-title":"IEEE Trans. Mobile Comput. (TMC)"},{"issue":"2","key":"9681_CR27","doi-asserted-by":"publisher","first-page":"1387","DOI":"10.1109\/JIOT.2019.2955035","volume":"7","author":"M Camelo","year":"2020","unstructured":"Camelo, M., Claeys, M., Latre, S.: Parallel reinforcement learning with minimal communication overhead for IoT environments. IEEE Internet Things J. 7(2), 1387\u20131400 (2020)","journal-title":"IEEE Internet Things J."},{"key":"9681_CR28","unstructured":"NGMN Alliance: 5G White Paper. https:\/\/www.ngmn.org\/uploads\/media\/NGMN_5G_White_Paper_V1_0.pdf"},{"issue":"5","key":"9681_CR29","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MCOM.2017.1600935","volume":"55","author":"J Ordonez-Lucena","year":"2017","unstructured":"Ordonez-Lucena, J., Ordonez-Lucena, J., Ameigeiras, P., Lopez, D., Ramos-Munoz, J., Lorca, J., Folgueira, J.: Network slicing for 5G with SDN\/NFV: concepts, architectures, and challenges. IEEE Commun. Mag. 55(5), 80\u201387 (2017)","journal-title":"IEEE Commun. Mag."},{"key":"9681_CR30","doi-asserted-by":"crossref","unstructured":"Kurtz, F., Kurtz, F., Bektas, C., Dorsch, N., Wietfeld, C.: Network slicing for critical communications in shared 5G infrastructures\u2014an empirical evaluation. In: Proc. IEEE NetSoft 2018, Jun (2018)","DOI":"10.1109\/NETSOFT.2018.8460110"},{"issue":"2","key":"9681_CR31","doi-asserted-by":"publisher","first-page":"3202","DOI":"10.1109\/JIOT.2018.2880463","volume":"6","author":"H Ko","year":"2019","unstructured":"Ko, H., Pack, S., Leung, V.: Coverage-guaranteed and energy-efficient participant selection strategy in mobile crowdsensing. IEEE Internet Things J. 6(2), 3202\u20133211 (2019)","journal-title":"IEEE Internet Things J."},{"key":"9681_CR32","unstructured":"Law of Diminishing Marginal Utility, Madhav University (2021). https:\/\/madhavuniversity.edu.in\/law-of-diminishing-marginal-utility.html"},{"issue":"3","key":"9681_CR33","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s11205-004-8393-4","volume":"70","author":"RA Easterlin","year":"2004","unstructured":"Easterlin, R.A.: Diminishing marginal utility of income? Caveat emptor. Soc. Indicat. Res. 70(3), 243\u2013255 (2004)","journal-title":"Soc. Indicat. Res."},{"key":"9681_CR34","unstructured":"Wikipedia, Chapman? Kolmogorov equation. https:\/\/en.wikipedia.org\/wiki\/Chapman?Kolmogorov_equation"},{"key":"9681_CR35","unstructured":"Wikipedia, Linear Programming. Accessed 13 Dec 2020. https:\/\/en.wikipedia.org\/wiki\/Linear_programming"},{"key":"9681_CR36","doi-asserted-by":"publisher","first-page":"45758","DOI":"10.1109\/ACCESS.2019.2909670","volume":"7","author":"G Sun","year":"2019","unstructured":"Sun, G., Gebrekidan, Z., Boateng, G., Ayepah-Mensah, D., Jiang, W.: Dynamic reservation and deep reinforcement learning based autonomous resource slicing for virtualized radio access networks. IEEE Access 7, 45758\u201345772 (2019)","journal-title":"IEEE Access"},{"key":"9681_CR37","doi-asserted-by":"crossref","unstructured":"Shi, Y., Sagduyu, Y., Erpek, T.: Reinforcement learning for dynamic resource optimization in 5G radio access network slicing. In: Proc. IEEE International Workshop on CAMAD 2020, Sep (2020)","DOI":"10.1109\/CAMAD50429.2020.9209299"}],"container-title":["Journal of Network and Systems Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-022-09681-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10922-022-09681-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-022-09681-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,14]],"date-time":"2023-02-14T03:51:26Z","timestamp":1676346686000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10922-022-09681-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,9]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["9681"],"URL":"https:\/\/doi.org\/10.1007\/s10922-022-09681-5","relation":{},"ISSN":["1064-7570","1573-7705"],"issn-type":[{"type":"print","value":"1064-7570"},{"type":"electronic","value":"1573-7705"}],"subject":[],"published":{"date-parts":[[2022,8,9]]},"assertion":[{"value":"25 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 August 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"68"}}