Performance Evaluation of D2D Discovery with eNB Based Power Control in LTE-Advanced
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: 2014DOI: 10.1109/EEEIC.2014.6835885
Keyword(s): Kalman filters,n autoregressive moving average processes,n forecasting theory,n fuzzy reasoning,n neural nets,n power engineering computing,n power markets,n prediction theory,n pricing,n time series,n ANFIS,n ANN,n ARMA,n Kalman fusion algorithm,n Spanish electricity market,n adaptive neurofuzzy inference system,n artificial neural networks,n autoregressive moving average,n electricity price forecasting,n electricity price signal,n for
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Performance Evaluation of D2D Discovery with eNB Based Power Control in LTE-Advanced
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| contributor author | Kwak, Yongjun | |
| contributor author | Ro, Sangmin | |
| contributor author | Kim, Sangbum | |
| contributor author | Kim, Younsun | |
| contributor author | Lee, Juho | |
| date accessioned | 2020-03-12T21:55:56Z | |
| date available | 2020-03-12T21:55:56Z | |
| date issued | 2014 | |
| identifier other | 6966122.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1065563 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Performance Evaluation of D2D Discovery with eNB Based Power Control in LTE-Advanced | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8199070 | |
| subject keywords | Kalman filters | |
| subject keywords | n autoregressive moving average processes | |
| subject keywords | n forecasting theory | |
| subject keywords | n fuzzy reasoning | |
| subject keywords | n neural nets | |
| subject keywords | n power engineering computing | |
| subject keywords | n power markets | |
| subject keywords | n prediction theory | |
| subject keywords | n pricing | |
| subject keywords | n time series | |
| subject keywords | n ANFIS | |
| subject keywords | n ANN | |
| subject keywords | n ARMA | |
| subject keywords | n Kalman fusion algorithm | |
| subject keywords | n Spanish electricity market | |
| subject keywords | n adaptive neurofuzzy inference system | |
| subject keywords | n artificial neural networks | |
| subject keywords | n autoregressive moving average | |
| subject keywords | n electricity price forecasting | |
| subject keywords | n electricity price signal | |
| subject keywords | n for | |
| identifier doi | 10.1109/EEEIC.2014.6835885 | |
| journal title | ehicular Technology Conference (VTC Fall), 2014 IEEE 80th | |
| filesize | 231617 | |
| citations | 0 |