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dc.contributor.authorLiang, Jia-Mingen_US
dc.contributor.authorWang, You-Chiunen_US
dc.contributor.authorChen, Jen-Jeeen_US
dc.contributor.authorLiu, Jui-Hsiangen_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.date.accessioned2014-12-08T15:20:34Z-
dc.date.available2014-12-08T15:20:34Z-
dc.date.issued2011-11-10en_US
dc.identifier.issn1389-1286en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.comnet.2011.04.021en_US
dc.identifier.urihttp://hdl.handle.net/11536/14656-
dc.description.abstractThe IEEE 802.16j standard is defined to enhance WiMAX networks with relay capacity. Under the transparent mode, existing studies only target improving network throughput by increasing the transmission rates of mobile stations (MSs) and maximizing concurrent transmissions. However, using a higher transmission rate or allowing more concurrent transmissions could harm MSs in terms of their energy consumption, especially when they are battery-powered. In this paper, we consider the energy-conserved resource allocation problem in the uplink direction of an IEEE 802.16j network under the transparent mode. This problem asks how to arrange the frame usage with satisfying MSs' demands as the constraint and minimizing their total energy consumption as the objective. We prove this problem to be NP-complete and develop two energy-efficient heuristics, called demand-first allocation (DFA) and energy-first allocation (EFA) schemes. These heuristics employ a gradient-like search method to approximate the optimal solution. Specifically, DFA tries to satisfy MSs' demands first by using as less frame space as possible. Then, with the remaining frame space. DFA tries to save MSs' energy by lowering their transmission rates or adjusting their transmission paths. Viewed from a different perspective. EFA first allocates the frame space to MSs to consume the least energy. Since the total allocation may exceed the frame space. EFA then exploits spatial reuse and rate adjustment to pack all demands into one frame. simulation results show that our heuristics can approximate the ideal performance bounds and save up to 90% of MSs' energy as compared to existing results. (C) 2011 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectBroadband wireless networken_US
dc.subjectEnergy conservationen_US
dc.subjectIEEE 802.16jen_US
dc.subjectResource managementen_US
dc.subjectTransparent relayen_US
dc.subjectWiMAXen_US
dc.titleEnergy-efficient uplink resource allocation for IEEE 802.16j transparent-relay networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.comnet.2011.04.021en_US
dc.identifier.journalCOMPUTER NETWORKSen_US
dc.citation.volume55en_US
dc.citation.issue16en_US
dc.citation.spage3705en_US
dc.citation.epage3720en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000296114000008-
dc.citation.woscount6-
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