完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Gau, Rung-Hung | en_US |
dc.contributor.author | Kuo, Fu-Ta | en_US |
dc.date.accessioned | 2018-08-21T05:56:45Z | - |
dc.date.available | 2018-08-21T05:56:45Z | - |
dc.date.issued | 2016-01-01 | en_US |
dc.identifier.issn | 1550-2252 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/146594 | - |
dc.description.abstract | In this paper, we propose a signal-centric medium access control scheme that simultaneously exploits spatial and temporal correlations among sensing results for machine-to-machine communications. To model sensing results with spatial and temporal correlations, we propose using a vector autoregressive process. To minimize the overall prediction error, we propose using the space-time predictive polling algorithm. In addition, we derive the a-priori prediction error that is essential for making an optimal polling decision. Simulation results show that the proposed space-time predictive polling algorithm could significantly outperform algorithms that use only temporal correlation. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | machine-to-machine communications | en_US |
dc.subject | medium access control | en_US |
dc.subject | stochastic processes | en_US |
dc.subject | statistical signal estimation | en_US |
dc.title | Exploiting Spatial and Temporal Correlations for Signal-Centric MAC in M2M Communications | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2016 IEEE 84TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL) | en_US |
dc.contributor.department | 電機工程學系 | zh_TW |
dc.contributor.department | Department of Electrical and Computer Engineering | en_US |
dc.identifier.wosnumber | WOS:000402610200167 | en_US |
顯示於類別: | 會議論文 |