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Homayouni, M. Paier, G. Stangelmayer, C. Kaipl, C. Sulz, T. Schweeger, and J. Rehak, \u201cDesign and development of private 5G standalone network for vertical industries,\u201d 2023 International Wireless Communications and Mobile Computing (IWCMC), Marrakesh, Morocco, pp.369-374, 2023. 10.1109\/iwcmc58020.2023.10183014","DOI":"10.1109\/IWCMC58020.2023.10183014"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] I. Afolabi, T. Taleb, K. Samdanis, A. Ksentini, and H. Flinck, \u201cNetwork slicing and softwarization: A survey on principles, enabling technologies, and solutions,\u201d IEEE Commun. Surveys Tuts., vol.20, no.3, pp.2429-2453, March 2018. 10.1109\/comst.2018.2815638","DOI":"10.1109\/COMST.2018.2815638"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] M.A. Habibi, B. Han, A. Fellan, W. Jiang, A.G. S\u00e1nchez, I.L. Pavon, A. Boubendir, and H.D. Schotten, \u201cToward an open, intelligent, and end-to-end architectural framework for network slicing in 6G communication systems,\u201d IEEE Open J. Commun. Soc., vol.4, pp.1615-1658, July 2023. 10.1109\/ojcoms.2023.3294445","DOI":"10.1109\/OJCOMS.2023.3294445"},{"key":"4","doi-asserted-by":"publisher","unstructured":"[4] H. Li, Z. Kong, W. Xiang, X. Wen, Z. Lu, L. Wang, Y. Chen, and W. Jing, \u201cSlice-based service function chain embedding for end-to-end network slice deployment,\u201d IEEE Trans. Netw. Serv. Manage., vol.20, no.3, pp.3652-3672, Sept. 2023. 10.1109\/tnsm.2023.3250719","DOI":"10.1109\/TNSM.2023.3250719"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] D. Zhang, X. Li, B. Wei, and Y. Shi, \u201cA joint coverage constrained task offloading and resource allocation method in MEC,\u201d IEICE Trans. Fundamentals, vol.E107-A, no.8, pp.1277-1285, Aug. 2024. 10.1587\/transfun.2023eap1139","DOI":"10.1587\/transfun.2023EAP1139"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] G. Shen, K. Chi, O. Alfarraj, and A. Tolba, \u201cTask offloading and resource allocation for wireless powered multi-AP mobile edge computing,\u201d IEICE Trans. Fundamentals, vol.E108-A, no.2, pp.129-139, Feb. 2025. 10.1587\/transfun.2024eap1070","DOI":"10.1587\/transfun.2024EAP1070"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] S. Duan, D. Wang, J. Ren, F. Lyu, Y. Zhang, H. Wu, and X. Shen, \u201cDistributed artificial intelligence empowered by end-edge-cloud computing: A survey,\u201d IEEE Commun. Surveys Tuts., vol.25, no.1, pp.591-624, Nov. 2023. 10.1109\/COMST.2022.3218527","DOI":"10.1109\/COMST.2022.3218527"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] X. Hu, L. Wang, K.-K. Wong, M. Tao, Y. Zhang, and Z. Zheng, \u201cEdge and central cloud computing: A perfect pairing for high energy efficiency and low-latency,\u201d IEEE Trans. Wireless Commun., vol.19, no.2, pp.1070-1083, Feb. 2020. 10.1109\/twc.2019.2950632","DOI":"10.1109\/TWC.2019.2950632"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] X. Deng, J. Yin, P. Guan, N.N. Xiong, L. Zhang, and, S. Mumtaz, \u201cIntelligent delay-aware partial computing task offloading for multiuser industrial internet of things through edge computing,\u201d IEEE Internet Things J., vol.10, no.4, pp.2954-2966, Feb.2023. 10.1109\/jiot.2021.3123406","DOI":"10.1109\/JIOT.2021.3123406"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] S. Li, X. You, S. Zhang, M. Fang, and P. Zhang, \u201cCloud-edge-device collaborative high concurrency access management for massive IoT devices in distribution grid,\u201d IEICE Trans. Fundamentals, vol.E107-A, no.7, pp.946-957, July 2023. 10.1587\/transfun.2023eap1094","DOI":"10.1587\/transfun.2023EAP1094"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] J.P. Champati and B. Liang, \u201cDelay and cost optimization in computational offloading systems with unknown task processing times,\u201d IEEE Trans. Cloud Comput., vol.9, no.4, pp.1422-1438, Oct.-Dec. 2021. 10.1109\/tcc.2019.2924634","DOI":"10.1109\/TCC.2019.2924634"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] H. Zhang, Y. Yang, B. Shang, and P. Zhang, \u201cJoint resource allocation and multi-part collaborative task offloading in MEC systems,\u201d IEEE Trans. Veh. Technol., vol.71, no.8, pp.8877-8890, Aug. 2022. 10.1109\/tvt.2022.3174530","DOI":"10.1109\/TVT.2022.3174530"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] F. Wang, X. Wen, L. Li, Y. Wen, S. Zhang, and Y. Liu, \u201cCloud-edge-end collaborative multi-service resource management for IoT-based distribution grid,\u201d IEICE Trans. Fundamentals, vol.E107-A, no.9, pp.1542-1555, Sept. 2024. 10.1587\/transfun.2024eap1011","DOI":"10.1587\/transfun.2024EAP1011"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] D. Van Huynh, V.-D. Nguyen, S. Chatzinotas, S.R. Khosravirad, H.V. Poor, and T.Q. Duong, \u201cJoint communication and computation offloading for ultra-reliable and low-latency with multi-tier computing,\u201d IEEE J. Sel. Areas Commun., vol.41, no.2, pp.521-537, Feb. 2023. 10.1109\/jsac.2022.3227088","DOI":"10.1109\/JSAC.2022.3227088"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] J. Fang, Z. Ye, and S. Song, \u201cResearch on task offloading strategy based on priority chemical reaction algorithm in edge-cloud scenario,\u201d 2022 11th International Conference on Communications, Circuits and Systems (ICCCAS), Singapore, Singapore, pp.307-312, 2022. 10.1109\/icccas55266.2022.9824352","DOI":"10.1109\/ICCCAS55266.2022.9824352"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] W. Li, J. Zhang, D. Guan, B. Cui, Z. Zheng, G. Feng, H. Wang, and L. Zhang, \u201cLatency minimization for intelligent reflecting surface-assisted cloud-edge collaborative computing,\u201d 2023 15th International Conference on Computer Research and Development (ICCRD), Hangzhou, China, pp.51-56, 2023. 10.1109\/iccrd56364.2023.10080403","DOI":"10.1109\/ICCRD56364.2023.10080403"},{"key":"17","unstructured":"[17] Z. Bai, Y. Lin, Y. Cao, and W. Wang, \u201cDelay-aware cooperative task offloading for multi-UAV enabled edge-cloud computing,\u201d IEEE Trans. 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Chai, \u201cA fine-grained task execution scheme for terminal-edge-cloud cooperative networks,\u201d 2023 IEEE 14th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), Beijing, China, pp.1-6, 2023. 10.1109\/paap60200.2023.10391356","DOI":"10.1109\/PAAP60200.2023.10391356"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] L. Wu, P. Sun, Z. Wang, Y. Li, and Y. Yang, \u201cComputation offloading in multi-cell networks with collaborative edge-cloud computing: A game theoretic approach,\u201d IEEE Trans. Mobile Comput., vol.23, no.3, pp.2093-2106, March 2024. 10.1109\/tmc.2023.3246462","DOI":"10.1109\/TMC.2023.3246462"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] Q. Li, M. Guo, Z. Peng, D. Cui, and J. He, \u201cEdge-cloud collaborative computation offloading for mixed traffic,\u201d IEEE Syst. J., vol.17, no.3, pp.5023-5034, Sept. 2023. 10.1109\/jsyst.2023.3277003","DOI":"10.1109\/JSYST.2023.3277003"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] J. Liu, J. Ren, Y. Zhang, X. Peng, Y. Zhang, and Y. Yang, \u201cEfficient dependent task offloading for multiple applications in MEC-cloud system,\u201d IEEE Trans. Mobile Comput., vol.22, no.4, pp.2147-2162, April 2023. 10.1109\/TMC.2021.3119200","DOI":"10.1109\/TMC.2021.3119200"},{"key":"24","doi-asserted-by":"publisher","unstructured":"[24] S. Wang, X. Li, and Y. Gong, \u201cEnergy-efficient task offloading and resource allocation for delay-constrained edge-cloud computing networks,\u201d IEEE Trans. Green Commun. Netw., vol.8, no.1, pp.514-524, March 2024. 10.1109\/tgcn.2023.3306002","DOI":"10.1109\/TGCN.2023.3306002"},{"key":"25","doi-asserted-by":"publisher","unstructured":"[25] M. Teng, X. Li, and K. Zhu, \u201cJoint optimization of sequential task offloading and service deployment in end-edge-cloud system for energy efficiency,\u201d IEEE Trans. Sustain. Comput., vol.9, no.3, pp.283-298, May-June 2024. 10.1109\/tsusc.2023.3291365","DOI":"10.1109\/TSUSC.2023.3291365"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] Y. Chen, J. Zhao, Y. Wu, J. Huang, and X. Shen, \u201cQoE-aware decentralized task offloading and resource allocation for end-edge-cloud systems: A game-theoretical approach,\u201d IEEE Trans. Mobile Comput., vol.23, no.1, pp.769-784, Jan. 2024. 10.1109\/tmc.2022.3223119","DOI":"10.1109\/TMC.2022.3223119"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] Y. Ding, K. Li, C. Liu, and K. Li, \u201cA potential game theoretic approach to computation offloading strategy optimization in end-edge-cloud computing,\u201d IIEEE Trans. Parallel Distrib. Syst., vol.33, no.6, pp.1503-1519, June 2022. 10.1109\/tpds.2021.3112604","DOI":"10.1109\/TPDS.2021.3112604"},{"key":"28","doi-asserted-by":"publisher","unstructured":"[28] W. Fan, F. Yang, P. Wang, M. Miao, P. Zhao, and T. Huang, \u201cDRL-based service function chain edge-to-edge and edge-to-cloud joint offloading in edge-cloud Network,\u201d IEEE Trans. Netw. Serv. Manage., vol.20, no.4, pp.4478-4493, Dec. 2023. 10.1109\/tnsm.2023.3271769","DOI":"10.1109\/TNSM.2023.3271769"},{"key":"29","doi-asserted-by":"publisher","unstructured":"[29] H. Nashaat, W. Hashem, R. Rizk, and R. Attia, \u201cDRL-based distributed task offloading framework in edge-cloud environment,\u201d IEEE Access, vol.12, pp.33580-33594, March 2024. 10.1109\/access.2024.3371993","DOI":"10.1109\/ACCESS.2024.3371993"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] N. Sharma, A. Ghosh, R. Misra, and S.K. Das, \u201cDeep meta Q-learning based multi-task offloading in edge-cloud systems,\u201d IEEE Trans. Mobile Comput., vol.23, no.4, pp.2583-2598, April 2024. 10.1109\/tmc.2023.3264901","DOI":"10.1109\/TMC.2023.3264901"},{"key":"31","doi-asserted-by":"publisher","unstructured":"[31] J. Huang, J. Wan, B. Lv, Q. Ye, and Y. Chen, \u201cJoint computation offloading and resource allocation for edge-cloud collaboration in internet of vehicles via deep reinforcement learning,\u201d IEEE Syst. J., vol.17, no.2, pp.2500-2511, June 2023. 10.1109\/jsyst.2023.3249217","DOI":"10.1109\/JSYST.2023.3249217"},{"key":"32","doi-asserted-by":"publisher","unstructured":"[32] T. Zhang, F. Wu, Z. Chen, and S. Chen, \u201cOptimization of edge-cloud collaborative computing resource management for internet of vehicles based on multiagent deep reinforcement learning,\u201d IEEE Internet Things J., vol.11, no.22, pp.36114-36126, Nov. 2024. 10.1109\/jiot.2024.3439603","DOI":"10.1109\/JIOT.2024.3439603"},{"key":"33","doi-asserted-by":"publisher","unstructured":"[33] Z. Chen and X. Wang, \u201cDecentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach,\u201d J. Wireless Com. Network, vol.2020, 188, Sept. 2020. 10.1186\/s13638-020-01801-6","DOI":"10.1186\/s13638-020-01801-6"},{"key":"34","doi-asserted-by":"publisher","unstructured":"[34] Y. Shi, Y. Xia, and Y. Gao, \u201cCross-server computation offloading for multi-task mobile edge computing,\u201d Information, vol.11, no.2, p.96, Feb. 2020. 10.3390\/info11020096","DOI":"10.3390\/info11020096"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[35] M.R. Mishra, B.B. Dash, V. Goswami, S. Nanda, S.S. Patra, and R.K. Barik, \u201cA new task offloading scheme for geospatial fog computing environment using M\/M\/C queueing approach,\u201d Advances and Applications of Artificial Intelligence &amp; Machine Learning, ICAAAIML 2022. Lecture Notes in Electrical Engineering, vol.1078, pp.105-113, Springer Nature Singapore, Singapore, 2023. 10.1007\/978-981-99-5974-7_10","DOI":"10.1007\/978-981-99-5974-7_10"},{"key":"36","doi-asserted-by":"publisher","unstructured":"[36] A. Bozorgchenani, D. Tarchi, and W. Cerroni, \u201cOn-demand service deployment strategies for fog-as-a-service scenarios,\u201d IEEE Commun. Lett., vol.25, no.5, pp.1500-1504, May 2021. 10.1109\/lcomm.2021.3055535","DOI":"10.1109\/LCOMM.2021.3055535"},{"key":"37","doi-asserted-by":"crossref","unstructured":"[37] S. Wang, N. Xin, Z. Luo, and T. Lin, \u201cAn efficient computation offloading strategy based on cloud-edge collaboration in vehicular edge computing,\u201d 2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT), Xiamen, China, pp.193-197, 2022. 10.1109\/ccpqt56151.2022.00041","DOI":"10.1109\/CCPQT56151.2022.00041"},{"key":"38","doi-asserted-by":"crossref","unstructured":"[38] W. Fan, X. Liu, H. Yuan, N. Li, and Y. Liu, \u201cTime-slotted task offloading and resource allocation for cloud-edge-end cooperative computing networks,\u201d IEEE Trans. Mobile Comput., vol.23, no.8, pp.8225-8241, Aug. 2024. 10.1109\/tmc.2024.3349551","DOI":"10.1109\/TMC.2024.3349551"},{"key":"39","doi-asserted-by":"publisher","unstructured":"[39] J. Liu, Y. Zhang, J. Ren, and Y. Zhang, \u201cAuction-based dependent task offloading for IoT users in edge clouds,\u201d IEEE Internet Things J., vol.10, no.6, pp.4907-4921, March 2023. 10.1109\/JIOT.2022.3221431","DOI":"10.1109\/JIOT.2022.3221431"},{"key":"40","doi-asserted-by":"publisher","unstructured":"[40] W. Fan, Y. Zhang, G. Zhou, and Y. Liu, \u201cDeep reinforcement learning-based task offloading for vehicular edge computing with flexible RSU-RSU cooperation,\u201d IEEE Trans. Intell. Transp. Syst., vol.25, no.7, pp.7712-7725, July 2024. 10.1109\/tits.2024.3349546","DOI":"10.1109\/TITS.2024.3349546"}],"container-title":["IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/12\/E108.A_2025EAP1037\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T03:24:55Z","timestamp":1764991495000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transfun\/E108.A\/12\/E108.A_2025EAP1037\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,1]]},"references-count":40,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/transfun.2025eap1037","relation":{},"ISSN":["0916-8508","1745-1337"],"issn-type":[{"value":"0916-8508","type":"print"},{"value":"1745-1337","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,1]]},"article-number":"2025EAP1037"}}