Graduate School and Research Center in Digital Sciences

MIMO IBC beamforming with combined channel estimate and covariance CSIT

Tabikh, Wassim; Slock, Dirk TM; Yuan-Wu, Yi

ISIT 2017, IEEE International Symposium on Information Theory June 25-30, 2017, Aachen, Germany

This work deals with beamforming for the MIMO Interfering Broadcast Channel (IBC), i.e. the Multi-Input Multi-Output (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.

Document Doi Bibtex

Title:MIMO IBC beamforming with combined channel estimate and covariance CSIT
Keywords:Massive MIMO; multi-user; multi-cell; sum rate; beamforming; partial CSIT; large system analysis
Type:Conference
Language:English
City:Aachen
Country:GERMANY
Date:
Department:Communication systems
Eurecom ref:5215
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Bibtex: @inproceedings{EURECOM+5215, doi = {http://dx.doi.org/10.1109/ISIT.2017.8006495}, year = {2017}, title = {{MIMO} {IBC} beamforming with combined channel estimate and covariance {CSIT}}, author = {{T}abikh, {W}assim and {S}lock, {D}irk {TM} and {Y}uan-{W}u, {Y}i}, booktitle = {{ISIT} 2017, {IEEE} {I}nternational {S}ymposium on {I}nformation {T}heory {J}une 25-30, 2017, {A}achen, {G}ermany}, address = {{A}achen, {GERMANY}}, month = {06}, url = {http://www.eurecom.fr/publication/5215} }
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