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dc.contributor.authorLiou, Yi-Shingen_US
dc.contributor.authorGau, Rung-Hungen_US
dc.contributor.authorChang, Chung-Juen_US
dc.date.accessioned2014-12-08T15:35:52Z-
dc.date.available2014-12-08T15:35:52Z-
dc.date.issued2014-04-01en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TWC.2014.022014.122024en_US
dc.identifier.urihttp://hdl.handle.net/11536/24250-
dc.description.abstractWe propose adaptive capacity-region-aware algorithms for medium access control in wireless networks. In particular, the proposed algorithms are aware of the information-theoretic capacity region of a multiple access channel. According to the proposed algorithms, a node dynamically adjusts its channel access strategy based on the previous strategies of other nodes and the channel feedback. A strategy is composed of a transmission threshold and an aggression level. We propose symmetric learning algorithms for maximizing throughput. In addition, we propose asymmetric learning algorithms to strike a good balance between throughput and fairness. Furthermore, we propose novel methods to properly choose a finite number of available data transmission rates. We use both analytical results and simulation results to justify the usage of the proposed algorithms.en_US
dc.language.isoen_USen_US
dc.subjectMedium access controlen_US
dc.subjectcapacity regionen_US
dc.subjectinformation theoryen_US
dc.subjectwireless networksen_US
dc.titleDynamically Tuning Aggression Levels for Capacity-Region-Aware Medium Access Control in Wireless Networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TWC.2014.022014.122024en_US
dc.identifier.journalIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSen_US
dc.citation.volume13en_US
dc.citation.issue4en_US
dc.citation.spage1766en_US
dc.citation.epage1778en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000335154100004-
dc.citation.woscount0-
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