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dc.contributor.authorChiu, Hsiao-Tingen_US
dc.contributor.authorGau, Rung-Hungen_US
dc.date.accessioned2018-08-21T05:56:27Z-
dc.date.available2018-08-21T05:56:27Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1525-3511en_US
dc.identifier.urihttp://hdl.handle.net/11536/146213-
dc.description.abstractIn this paper, we propose the green stopping signal-centric predictive polling algorithm for machine type communications. Based on Markov optimal stopping theory, the green stopping signal-centric predictive polling algorithm exploits channel state information to reduce the energy consumption of wireless communications without knowing the mean channel gain. To reduce the computational complexity, the proposed algorithm is built upon a closed-form optimal stopping rule. Furthermore, we derive analytical results that characterize the optimal stopping time when the proposed green stopping signal-centric predictive polling algorithm is used. Simulation results show that the proposed approach could significantly reduce the average energy consumption at machines and the average signal prediction error at the base station in comparison with alternative approaches.en_US
dc.language.isoen_USen_US
dc.subjectmachine type communicationsen_US
dc.subjectmedium access controlen_US
dc.subjectoptimal stoppingen_US
dc.subjectchannel state informationen_US
dc.titleChannel-Aware Signal-Centric Medium Access Control for Machine Type Communicationsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000435542400023en_US
Appears in Collections:Conferences Paper