Name
Abstract | ||
|---|---|---|
Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous channel state information (CSI) in multi-user Massive MIMO systems operating in frequency division duplex (FDD) mode. In this context, channel reciprocity does not hold, and it is generally expected that covariance information about the downlink channel must be estimated and fed back by the user equipment (UE). As an alternative CSI acquisition technique, we propose to infer the downlink covariance based on the observed uplink covariance. This inference process relies on a dictionary of uplink/downlink covariance matrices, and on interpolation in the corresponding Riemannian space; once the dictionary is known, the estimation does not rely on any form of feedback from the UE. In this article, we present several variants of the interpolation method, and benchmark them through simulations. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/GLOCOMW.2015.7413982 | 2015 IEEE Globecom Workshops (GC Wkshps) |
Keywords | DocType | Volume |
Riemannian space,interpolation method,inference process,downlink covariance matrices,uplink covariance matrices,user equipment,channel reciprocity,FDD,CSI acquisition technique,instantaneous channel state information acquisition,massive MIMO frequency division duplex systems,channel covariance estimation | Conference | abs/1602.05741 |
ISSN | Citations | PageRank |
2166-0069 | 8 | 0.52 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexis Decurninge | 1 | 31 | 7.78 |
| Maxime Guillaud | 2 | 315 | 30.64 |
| Dirk T. M. Slock | 3 | 801 | 86.45 |