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MIMO IBC beamforming with combined channel estimate and covariance CSIT | IEEE Conference Publication | IEEE Xplore

MIMO IBC beamforming with combined channel estimate and covariance CSIT


Abstract:

This work deals with beamforming for the MIMO Interfering Broadcast Channel (IBC), i.e. the Multi-Input MultiOutput (MIMO) Multi-User Multi-Cell downlink (DL). The novel ...Show More

Abstract:

This work deals with beamforming for the MIMO Interfering Broadcast Channel (IBC), i.e. the Multi-Input MultiOutput (MIMO) Multi-User Multi-Cell downlink (DL). The novel beamformers are here optimized for the Expected Weighted Sum Rate (EWSR) for the case of Partial Channel State Information at the Transmitters (CSIT). Gaussian (Posterior) partial CSIT can optimally combine channel estimate and channel covariance information. We introduce the first large system analysis for optimized beamformers with partial CSIT, here for the Massive MISO (MaMISO) case. In the case of Gaussian partial CSIT, the beamformers only depend on the means and covariances of the channels. The large system analysis furthermore allows to predict the EWSR performance on the basis of the channel statistics only.
Date of Conference: 25-30 June 2017
Date Added to IEEE Xplore: 14 August 2017
ISBN Information:
Electronic ISSN: 2157-8117
Conference Location: Aachen, Germany

References

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