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Suzuki, R. Kawahara, M. Kobayashi, S. Harada, Y. Takahashi, and K. Ishibashi, \u201cExtendable NFV-integrated control method using reinforcement learning,\u201d IEICE Trans. Commun., vol.E103-B, no.8, pp.826-841, Aug. 2020. 10.1587\/transcom.2019ebp3114","DOI":"10.1587\/transcom.2019EBP3114"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] P. Du, A. Nakao, S. Miki, and M. Inoue, \u201cDesign and implementation of 10Gbps software PPPoE router for IoT smart home network,\u201d IEICE Trans. Commun., vol.E103-B, no.4, pp.422-430, April 2020. 10.1587\/transcom.2019ebt0002","DOI":"10.1587\/transcom.2019EBT0002"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[4] A. Boudi, I. Farris, M. Bagaa, and T. Taleb, \u201cAssessing lightweight virtualization for security-as-a-service at the network edge,\u201d IEICE Trans. Commun., vol.E102-B, no.5, pp.970-977, May 2019. 10.1587\/transcom.2018eui0001","DOI":"10.1587\/transcom.2018EUI0001"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[5] A. Alleg, A. Toufik, M. Mohamed, R. Roberto, and B. Raouf, \u201cDelay-aware VNF placement and chaining based on a flexible resource allocation approach,\u201d Proc. 13th International Conference on Network and Service Management (CNSM) 2017, Nov. 2017. 10.23919\/cnsm.2017.8255993","DOI":"10.23919\/CNSM.2017.8255993"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[6] P. Chi, Y. Huang, and C. Lei, \u201cEfficient NFV deployment in data center networks,\u201d Proc. IEEE International Conference on Communications 2016 (ICC 2016), June 2015. 10.1109\/icc.2015.7249164","DOI":"10.1109\/ICC.2015.7249164"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[7] K. Shiomoto, \u201cResearch challenges for network function virtualization \u2014 Re-architecting middlebox for high performance and efficient, elastic and resilient platform to create new services \u2014 ,\u201d IEICE Trans. Commun., vol.E101-B, no.1, pp.96-122, Jan. 2018. 10.1587\/transcom.2017ebi0001","DOI":"10.1587\/transcom.2017EBI0001"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[8] Y. Kanizo, O. Rottenstreich, I. Segall, and J. Yallouz, \u201cOptimizing virtual backup allocation for middleboxes,\u201d IEEE\/ACM Trans. Netw., vol.25, no.5, pp.2759-2772, Oct. 2017. 10.1109\/tnet.2017.2703080","DOI":"10.1109\/TNET.2017.2703080"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[9] K. Qu, W. Zhuang, Q. Ye, X. Shen, X. Li, and J. Rao, \u201cDynamic flow migration for embedded services in SDN\/NFV-enabled 5G core networks,\u201d IEEE Trans. Commun., vol.68, no.4, pp.2394-2408, April 2020. 10.1109\/tcomm.2020.2968907","DOI":"10.1109\/TCOMM.2020.2968907"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[10] X. Ge, R. Zhou, and Q. Li, \u201c5G NFV-based tactile internet for mission-critical IoT services,\u201d IEEE Internet Things J., vol.7, no.7, pp.6150-6163, July 2020. 10.1109\/jiot.2019.2958063","DOI":"10.1109\/JIOT.2019.2958063"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[11] A.N. Al-Quzweeni, A.Q. Lawey, T.E.H. Elgorashi, and J.M.H. Elmirghani, \u201cOptimized energy aware 5G network function virtualization,\u201d IEEE Access, vol.7, pp.44939-44958, March 2019. 10.1109\/access.2019.2907798","DOI":"10.1109\/ACCESS.2019.2907798"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[12] R. Souza, K. Dias, and S. Fernandes, \u201cNFV data centers: A systematic review,\u201d IEEE Access, vol.8, pp.51713-51735, Feb. 2020. 10.1109\/access.2020.2973568","DOI":"10.1109\/ACCESS.2020.2973568"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[13] B. Kar, E.H. Wu, and Y. Lin, \u201cCommunication and computing cost optimization of meshed hierarchical NFV datacenters,\u201d IEEE Access, vol.8, pp.94795-94809, May 2020. 10.1109\/access.2020.2995384","DOI":"10.1109\/ACCESS.2020.2995384"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[14] Z. Wang, J. Zhang, T. Huang, and Y. Liu, \u201cService function chain composition, placement, and assignment in data centers,\u201d IEEE Trans. Netw. Serv. Manage., vol.16, no.4, pp.1638-1650, Dec. 2019. 10.1109\/tnsm.2019.2933872","DOI":"10.1109\/TNSM.2019.2933872"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[15] M. Veeraraghavan, T. Sato, M. Buchanan, R. Rahimi, S. Okamoto, and N. Yamanaka, \u201cNetwork function virtualization: A survey,\u201d IEICE Trans. Commun., vol.E100-B, no.11, pp.1978-1991, Nov. 2017. 10.1587\/transcom.2016nni0001","DOI":"10.1587\/transcom.2016NNI0001"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[16] C. Yu, W. Hou, and L. Guo, \u201cA survey on virtual net work embedding in optical cloud data center networks,\u201d Proc. International Conference on Software Networking (ICSN) 2016, May 2016. 10.1109\/icsn.2016.7501922","DOI":"10.1109\/ICSN.2016.7501922"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[17] M. Zeng, W. Fang, J.J.P.C. Rodrigues, and Z. Zhu, \u201cOrchestrating multicast-oriented NFV trees in inter-DC elastic optical networks,\u201d Proc. IEEE International Conference on Communications (ICC) 2016, May 2016. 10.1109\/icc.2016.7511588","DOI":"10.1109\/ICC.2016.7511588"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[18] F.Z. Yousaf, V. Sciancalepore, M. Liebsch, and X. Costa-Perez, \u201cMANOaaS: A multi-tenant NFV MANO for 5G network slices,\u201d IEEE Commun. Mag., vol.57, no.5, pp.103-109, May 2019. 10.1109\/mcom.2019.1800898","DOI":"10.1109\/MCOM.2019.1800898"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[19] M. Bunyakitanon, X. Vasilakos, R. Nejabati, and D. Simeonidou, \u201cEnd-to-end performance-based autonomous VNF placement with adopted reinforcement learning,\u201d IEEE Trans. Cogn. Commun. Netw., vol.6, no.2, pp.534-547, April 2020. 10.1109\/tccn.2020.2988486","DOI":"10.1109\/TCCN.2020.2988486"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[20] J. Chen, H. Cao, and L. Yang, \u201cNFV MANO based network slicing framework description,\u201d Proc. 2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Taiwan, May 2019. 10.1109\/icce-tw46550.2019.8991887","DOI":"10.1109\/ICCE-TW46550.2019.8991887"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[21] B. Nogales, I. Vidal, D.R. Lopez, J. Rodriguez, J. Garcia-Reinoso, and A. Azcorra, \u201cDesign and deployment of an open management and orchestration platform for multi-site NFV experimentation,\u201d IEEE Commun. Mag., vol.57, no.1, pp.20-27, Jan. 2019. 10.1109\/mcom.2018.1800084","DOI":"10.1109\/MCOM.2018.1800084"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[22] X. Zhang, Z. Huang, C. Wu, Z. Li, and F.C.M. Lau, \u201cAn online stochastic buy-sell mechanism for VNF chains in the NFV market,\u201d IEEE J. Sel. Areas Commun., vol.35, no.2, pp.392-406, Feb. 2017. 10.1109\/jsac.2017.2659259","DOI":"10.1109\/JSAC.2017.2659259"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[23] S. Covaci, M. Repetto, and F. Risso, \u201cTowards autonomous security assurance in 5G infrastructures,\u201d IEICE Trans. Commun., vol.E102-B, no.3, pp.401-409, March 2019. 10.1587\/transcom.2018nvi0001","DOI":"10.1587\/transcom.2018NVI0001"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[24] E. Fountoulakis, Q. Liao, and N. Pappas, \u201cFederated service chaining: Architecture and challenges,\u201d IEEE Commun. Mag., vol.58, no.3, pp.47-53, March 2020. 10.1109\/mcom.001.1900627","DOI":"10.1109\/MCOM.001.1900627"},{"key":"24","doi-asserted-by":"publisher","unstructured":"[25] E. Fountoulakis, Q. Liao, and N. Pappas, \u201cAn end-to-end performance analysis for service chaining in a virtualized network,\u201d IEEE Open J. Commun. Soc., vol.1, pp.148-163, Jan. 2020. 10.1109\/ojcoms.2020.2966689","DOI":"10.1109\/OJCOMS.2020.2966689"},{"key":"25","doi-asserted-by":"publisher","unstructured":"[26] D. Amaya, S. Homma, and T. Tachibana, \u201cService chain construction algorithm for maximizing total data throughput in resource-constrained NFV environments,\u201d IEICE Trans. Commun., vol.E103-B, no.4, pp.335-346, April 2020. 10.1587\/transcom.2019nrp0008","DOI":"10.1587\/transcom.2019NRP0008"},{"key":"26","doi-asserted-by":"publisher","unstructured":"[27] A. Hirwe and K Kataoka, \u201cFDN: Function delivery network-Optimizing service chain deployment in NFV,\u201d IEICE Trans. on Commun., vol.E103-B, no.7, pp. 712-725, July 2020. 10.1587\/transcom.2019ebp3167","DOI":"10.1587\/transcom.2019EBP3167"},{"key":"27","doi-asserted-by":"publisher","unstructured":"[28] K. Tabota and T. Tachibana, \u201cGreedy-based VNF placement algorithm for dynamic multipath service chaining,\u201d IEICE Trans. Commun., vol.E102-B, no.3, pp.429-438, March 2019. 10.1587\/transcom.2018nvp0006","DOI":"10.1587\/transcom.2018NVP0006"},{"key":"28","doi-asserted-by":"publisher","unstructured":"[29] Y. Sumi and T. Tachibana, \u201cHeuristic service chain construction algorithm based on VNF performances for optimal data transmission services,\u201d IEICE Trans. Commun., vol.E104-B, no.37, pp.817-828, July 2021. 10.1587\/transcom.2020cqp0011","DOI":"10.1587\/transcom.2020CQP0011"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[30] Q. Zhang, X. Wang, I. Kim, P. Palacharla, and T. Ikeuchi, \u201cService function chaining in multi-domain networks,\u201d Proc. Optical Fiber Communication Conference (OFC) 2016, March 2016. 10.1364\/ofc.2016.th1a.6","DOI":"10.1364\/OFC.2016.Th1A.6"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[32] K. Kawashima, T. Otoshi, Y. Ohsita, and M. Murata, \u201cDynamic placement of virtual network functions based on model predictive control,\u201d Proc. 2016 IEEE\/IFIP Network Operations and Management Symposium, Turkey, pp.1037-1042, April 2016. 10.1109\/noms.2016.7502957","DOI":"10.1109\/NOMS.2016.7502957"},{"key":"31","doi-asserted-by":"crossref","unstructured":"[33] A. Bemporad, \u201cModel predictive control design: New trends and tools,\u201d Proc. 45th IEEE Conference on Decision and Control (CDC), San Diego, pp.1037-1042, Dec. 2006. 10.1109\/cdc.2006.377490","DOI":"10.1109\/CDC.2006.377490"},{"key":"32","doi-asserted-by":"publisher","unstructured":"[34] T. Otoshi, Y. Ohsita, M. Murata, Y. Takahashi, K. Ishibashi, K. Shiomoto, and T. Hashimoto, \u201cHierarchical model predictive traffic engineering,\u201d IEEE\/ACM Trans. Netw., vol.26, no.4, pp.1754-1767, Aug. 2018. 10.1109\/tnet.2018.2850377","DOI":"10.1109\/TNET.2018.2850377"},{"key":"33","doi-asserted-by":"publisher","unstructured":"[35] G. Matsui, T. Tachibana, Y. Nakamura, and K. Sugimoto, \u201cDistributed power adjustment based on control theory for cognitive radio networks,\u201d Computer Networks, vol.57, no.17, pp.3344-3356, Dec. 2013. 10.1016\/j.comnet.2013.07.022","DOI":"10.1016\/j.comnet.2013.07.022"},{"key":"34","doi-asserted-by":"publisher","unstructured":"[36] G. Matsui, T. Tachibana, K. Kogiso, and K. Sugimoto, \u201cDynamic resource management in optical grid,\u201d IEEE Trans. Control Syst. Technol., vol.22, no.4, pp.1607-1614, July 2014. 10.1109\/tcst.2013.2285981","DOI":"10.1109\/TCST.2013.2285981"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[37] M. Kumazaki, M. Ogura, and T. Tachibana, \u201cVNF management with model predictive control for service chains,\u201d Proc. ICCE-TW 2019, Taiwan, May 2019. 10.1109\/icce-tw46550.2019.8991867","DOI":"10.1109\/ICCE-TW46550.2019.8991867"},{"key":"36","doi-asserted-by":"crossref","unstructured":"[38] M. Kumazaki and T. Tachibana, \u201cOptimal VNF placement and route selection with model predictive control for multiple service chains,\u201d Proc. ICCE-TW 2020, Taiwan, Sept. 2020. 10.1109\/icce-taiwan49838.2020.9258058","DOI":"10.1109\/ICCE-Taiwan49838.2020.9258058"},{"key":"37","unstructured":"[39] M. Kumazaki, M. Ogura, and T. Tachibana, \u201cService chain construction with efficient VNF sharing based on model predictive control,\u201d Proc. 2020 International Conference on Emerging Technologies for Communications (ICETC2020), Online, M1-5, Dec. 2020."},{"key":"38","doi-asserted-by":"publisher","unstructured":"[40] I. Jang, D. Suh, S. Pack, and G. Dan, \u201cJoint optimization of service function placement and flow distribution for service function chaining,\u201d IEEE J. Sel. Areas Commun., vol.35, no.11, pp.2532-2541, Nov. 2017. 10.1109\/jsac.2017.2760162","DOI":"10.1109\/JSAC.2017.2760162"},{"key":"39","doi-asserted-by":"crossref","unstructured":"[41] L. Askari, A. Hmaity, F. Musumeci, and M. Tornatore, \u201cVirtual-network-function placement for dynamic service chaining in metro-area networks,\u201d Proc. 2018 International Conference on Optical Network Design and Modeling, pp.136-141, May 2018. 10.23919\/ondm.2018.8396120","DOI":"10.23919\/ONDM.2018.8396120"},{"key":"40","doi-asserted-by":"crossref","unstructured":"[42] X. Weisheng, Z. Jiafeng, H. Changcheng, L. Min, and C. Wu, \u201cNetwork virtualization with dynamic resource pooling and trading mechanism,\u201d Proc. 2014 IEEE Global Communications Conference (GLOBECOM), pp.1829-1835, Dec. 2014. 10.1109\/glocom.2014.7037074","DOI":"10.1109\/GLOCOM.2014.7037074"},{"key":"41","doi-asserted-by":"crossref","unstructured":"[43] S. Sahhaf, W. Tavernier, D. Colle, and M. Pickavet, \u201cNetwork service chaining with efficient network function mapping based on service decompositions,\u201d Proc. 2015 1st IEEE Conference on Network Softwarization (NetSoft), pp.1-5, April 2015. 10.1109\/netsoft.2015.7116126","DOI":"10.1109\/NETSOFT.2015.7116126"},{"key":"42","doi-asserted-by":"crossref","unstructured":"[44] Y.M. Chen and Y.J. Peng, \u201cA QoS aware services mashup model for cloud computing applications,\u201d Journal of Industrial Engineering and Management, vol.5, no.2, pp.457-472, 2012. 10.3926\/jiem.472","DOI":"10.3926\/jiem.472"},{"key":"43","doi-asserted-by":"crossref","unstructured":"[45] T. Kim, S. Kim, K. Lee, and S. Park, \u201cA QoS assured network service chaining algorithm in network function virtualization architecture,\u201d Proc. 2015 15th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp.1221-1224, May 2015. 10.1109\/ccgrid.2015.135","DOI":"10.1109\/CCGrid.2015.135"},{"key":"44","doi-asserted-by":"crossref","unstructured":"[46] S. Mehraghdam, M. Keller, and H. Karl, \u201cSpecifying and placing chains of virtual network functions,\u201d Proc. 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), pp.7-13, Oct. 2014. 10.1109\/cloudnet.2014.6968961","DOI":"10.1109\/CloudNet.2014.6968961"},{"key":"45","doi-asserted-by":"publisher","unstructured":"[47] X. Ming, M. Shirazipour, Z. Ying, H. Green, and A. Takacs, \u201cNetwork function placement for NFV chaining in packet\/optical datacenters,\u201d J. Lightwave Technol., vol.33, no.8, pp.1565-1570, April 2015. 10.1109\/jlt.2015.2388585","DOI":"10.1109\/JLT.2015.2388585"},{"key":"46","doi-asserted-by":"publisher","unstructured":"[48] S. D'Oro, L. Galluccio, S. Palazzo, and G. Schembra, \u201cExploiting congestion games to achieve distributed service chaining in NFV networks,\u201d IEEE J. Sel. Areas Commun., vol.35, no.2, p.407-420, Feb. 2017. 10.1109\/jsac.2017.2659298","DOI":"10.1109\/JSAC.2017.2659298"},{"key":"47","doi-asserted-by":"publisher","unstructured":"[49] B. Li, W. Lu, S. Liu, and Z. Zhu, \u201cDeep-learning-assisted network orchestration for on-demand and cost-effective vNF service chaining in inter-DC elastic optical networks,\u201d J. Opt. Commun. Netw., vol.10, no.10, pp.D29-D41, Oct. 2018. 10.1364\/jocn.10.000d29","DOI":"10.1364\/JOCN.10.000D29"},{"key":"48","doi-asserted-by":"publisher","unstructured":"[50] L. Qu, M. Khabbaz, and C. Assi, \u201cReliability-aware service chaining in carrier-grade softwarized networks,\u201d IEEE J. Sel. Areas Commun., vol.36, no.3, pp.558-573, March 2018. 10.1109\/jsac.2018.2815338","DOI":"10.1109\/JSAC.2018.2815338"},{"key":"49","doi-asserted-by":"publisher","unstructured":"[51] M.M. Tajiki, S. Salsano, L. Chiaraviglio, M. Shojafar, and B. Akbari, \u201cJoint energy efficient and QoS-aware path allocation and VNF placement for service function chaining,\u201d IEEE Trans. Netw. Service Manage., vol.16, no.1, pp.374-388, March 2019. 10.1109\/tnsm.2018.2873225","DOI":"10.1109\/TNSM.2018.2873225"},{"key":"50","doi-asserted-by":"publisher","unstructured":"[52] G. Sun, Z. Xu, H. Yu, X. Chen, V. Chang, and A.V. Vasilakos, \u201cLow-latency and resource-efficient service function chaining orchestration in network function virtualization,\u201d IEEE Internet Things J., vol.7, no.7, pp.5760-5772, July 2020. 10.1109\/jiot.2019.2937110","DOI":"10.1109\/JIOT.2019.2937110"},{"key":"51","doi-asserted-by":"publisher","unstructured":"[53] H. Hawilo, M. Jammal, and A. Shami, \u201cNetwork function virtualization-aware orchestrator for service function chaining placement in the cloud,\u201d IEEE J. Sel. Areas Commun., vol.37, no.3, pp.643-655, March 2019. 10.1109\/jsac.2019.2895226","DOI":"10.1109\/JSAC.2019.2895226"},{"key":"52","doi-asserted-by":"publisher","unstructured":"[54] D. Bhamare, M. Samaka, A. Erbad, R. Jain, L. Gupta, and H.A. Chan, \u201cOptimal virtual network function placement in multi-cloud service function chaining architecture,\u201d Comput. Commun., vol.102, no.1, pp.1-16, April 2017. 10.1016\/j.comcom.2017.02.011","DOI":"10.1016\/j.comcom.2017.02.011"},{"key":"53","doi-asserted-by":"publisher","unstructured":"[55] J. Wang, H. Qi, K. Li, and X. Zhou, \u201cPRSFC-IoT: A performance and resource aware orchestration system of service function chaining for Internet of things,\u201d IEEE Internet Things J., vol.5, no.3, p.1400-1410, June 2018. 10.1109\/jiot.2018.2800003","DOI":"10.1109\/JIOT.2018.2800003"},{"key":"54","doi-asserted-by":"publisher","unstructured":"[56] H. Huang, S. Guo, J. Wu, and J. Li, \u201cService chaining for hybrid network function,\u201d IEEE Trans. Cloud Comput., vol.7, no.4, pp.1082-1094, Oct.-Dec. 2019. 10.1109\/tcc.2017.2721401","DOI":"10.1109\/TCC.2017.2721401"},{"key":"55","doi-asserted-by":"crossref","unstructured":"[57] G. Sallam, G.R. Gupta, B. Li, and B. Ji, \u201cShortest path and maximum flow problems under service function chaining constraints,\u201d IEEE Conference on Computer Communications 2018 (INFOCOM 2018), pp.2132-2140, 2018. 10.1109\/infocom.2018.8485996","DOI":"10.1109\/INFOCOM.2018.8485996"},{"key":"56","doi-asserted-by":"publisher","unstructured":"[58] C. Pham, N.H. Tran, S. Ren, W. Saad, and C.S. Hong, \u201cTraffic-aware and energy-efficient vNF placement for service chaining: Joint sampling and matching approach,\u201d IEEE Trans. Services Comput., vol.13, no.1, pp.172-185, Jan.\/Feb. 2020. 10.1109\/tsc.2017.2671867","DOI":"10.1109\/TSC.2017.2671867"},{"key":"57","unstructured":"[59] G.F. Franklin, J.D. Powell, and A. Emami-Naeini, Feedback Control of Dynamic Systems, Peason, 2014."},{"key":"58","doi-asserted-by":"crossref","unstructured":"[60] I.S. Mohamed, S.A. Zaid, M.F. Abu-Elyazeed, and H.M. Elsayed, \u201cImplementation of model predictive control for three-phase inverter with output LC filter on eZdsp F28335 kit using HIL simulation,\u201d International Journal of Modelling, Identification and Control, vol.25, no.4, pp.301-312, June 2016.","DOI":"10.1504\/IJMIC.2015.070642"},{"key":"59","doi-asserted-by":"crossref","unstructured":"[61] M. Ciocca, P. Wieber, and T. Fraichard, \u201cStrong recursive feasibility in model predictive control of biped walking,\u201d Proc. 2017 IEEE-RAS 17th International Conference on Humanoid Robotics, Nov. 2017. 10.1109\/humanoids.2017.8246953","DOI":"10.1109\/HUMANOIDS.2017.8246953"},{"key":"60","doi-asserted-by":"crossref","unstructured":"[62] R. Raghavan and S. Thomas, \u201cMIMO model predictive controller design for a twin rotor aerodynamic system,\u201d Proc. 2016 IEEE International Conference on Industrial Technology, March 2016. 10.1109\/icit.2016.7474732","DOI":"10.1109\/ICIT.2016.7474732"},{"key":"61","unstructured":"[63] IBM ILOG CPLEX, https:\/\/www-03.ibm.com\/software\/products\/ja\/ibmilogcple"}],"container-title":["IEICE Transactions on Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E105.B\/4\/E105.B_2021WWP0008\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T23:43:20Z","timestamp":1725925400000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transcom\/E105.B\/4\/E105.B_2021WWP0008\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,1]]},"references-count":61,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022]]}},"URL":"https:\/\/doi.org\/10.1587\/transcom.2021wwp0008","relation":{},"ISSN":["0916-8516","1745-1345"],"issn-type":[{"type":"print","value":"0916-8516"},{"type":"electronic","value":"1745-1345"}],"subject":[],"published":{"date-parts":[[2022,4,1]]},"article-number":"2021WWP0008"}}