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dc.contributor.authorRen, Yien_US
dc.contributor.authorTung, Chih-Weien_US
dc.contributor.authorChen, Jyh-Chengen_US
dc.contributor.authorLi, Frank Y.en_US
dc.date.accessioned2019-04-02T05:58:27Z-
dc.date.available2019-04-02T05:58:27Z-
dc.date.issued2018-12-01en_US
dc.identifier.issn0018-9545en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TVT.2018.2872829en_US
dc.identifier.urihttp://hdl.handle.net/11536/148625-
dc.description.abstractIP flow mobility (IFOM) enables a user equipment to offload data traffic at the IP flow level. Although the procedure of IFOM-based flow offloading has been specified by 3GPP, how many IP flows should be offloaded and when offloading should be performed are not defined. Consequently, IP flows may be routed to a target access network that has a strong signal strength but with backhaul congestion or insufficient access capability. In this paper, we propose two algorithms, referred to as proportional offloading (PO) and proportional and preemption-enabled offloading (PPO), respectively, for IP flow offloading in hybrid cellular and wireless local area networks. The PO algorithm decides an optimal proportion of IP flows, which could be offloaded by considering available resources at the target access network. In the PPO algorithm, both service continuity and network utilization are taken into consideration. Furthermore, a detailed analyticalmodel is developed in order to evaluate the behavior of the proposed algorithms. The analytical model is validated through extensive simulations. The results show that by dynamically adjusting the percentage of traffic flows to be offloaded, PO can reduce blocking probability and increase resource utilization. PPO further improves the performance at the cost of slightly higher offloading overhead.en_US
dc.language.isoen_USen_US
dc.subjectMobility managementen_US
dc.subjectoffloading in cellular networksen_US
dc.subjectperformance analysisen_US
dc.titleProportional and Preemption-Enabled Traffic Offloading for IP Flow Mobility: Algorithms and Performance Evaluationen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TVT.2018.2872829en_US
dc.identifier.journalIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGYen_US
dc.citation.volume67en_US
dc.citation.spage12095en_US
dc.citation.epage12108en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000454112100065en_US
dc.citation.woscount0en_US
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