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CORR
2016
Springer

Channel Covariance Estimation in Massive MIMO Frequency Division Duplex Systems

3 years 22 days ago
Channel Covariance Estimation in Massive MIMO Frequency Division Duplex Systems
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.
Alexis Decurninge, Maxime Guillaud, Dirk T. M. Slo
Added 31 Mar 2016
Updated 31 Mar 2016
Type Journal
Year 2016
Where CORR
Authors Alexis Decurninge, Maxime Guillaud, Dirk T. M. Slock
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