We consider a combined form of partial CSIT (Channel State Information at the Transmitter(s) (Tx)), comprising both channel estimates (mean CSIT) and covariance CSIT. In particular multipath induced structured low rank covariances are considered that arise in Massive MIMO and mmWave settings. For the beamforming optimization, we first revisit Weighted Sum Rate (WSR) maximization with perfect CSIT and introduce yet another equivalent approach: Weighted Sum Unbiased MSE (WSUMSE). We then turn to the partial CSIT case where we consider Expected WSR (EWSR) maximization for which EWSUMSE turns out to be a better approximation compared to the existing EWSMSE approach. These approaches also allow an uplink/downlink duality interpretation for partial CSI.
Optimal beamforming with combined channel and path CSIT for multi-cell multi-user MIMO
ITA 2016, Information Theory and Applications Workshop, January 31-February 5, 2016, San Diego, USA
Invited paper in a conference
Systèmes de Communication
© 2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
PERMALINK : https://www.eurecom.fr/publication/4830