| 摘要 |
The present disclosure relates to methods and devices for Channel State Information (CSI), prediction. More particularly the disclosure pertains to predicting (CSI) for a dynamic channel that is varying over time, e.g. because the receiver is moving. This object is obtained by a method performed in a first wireless node of predicting Channel State Information (CSI), of a dynamic wireless channel (H) between the first wireless node and a second wireless node. The method comprises: Deriving (S1) channel covariance estimates C k (n),..., C k (n - M) of the dynamic wireless channel (H), estimating (S2) one or more channel properties of the dynamic wireless channel (H), wherein one of the estimated channel properties defines a spectrum spread of the dynamic wireless channel (H), and determining (S3) a covariance prediction filter, based on the estimated one or more channel properties. The method further comprises: Predicting (S4) one or more channel covariance estimates Ĉk(n + N|n) by applying the determined covariance prediction filter to the derived channel covariance estimates C k (n),..., C k (n - M) and calculating (S5) a predicted CSI using the predicted covariance estimates Ĉk(n + N|n). Hence, this disclosure proposes predicting CSI by predicting channel covariance using a methodology which implies deriving optimal covariance prediction filters. |
