Ecole d'ingénieur et centre de recherche en Sciences du numérique

Downlink channel spatial covariance estimation in realistic FDD massive MIMO systems

Miretti, Lorenzo; Cavalcante, Renato Luis Garrido; Stanczak, Slawomir

GLOBALSIP 2018, 6th IEEE Global Conference on Signal and Information Processing, November 26-29, 2018, Anaheim, CA, USA

The knowledge of the downlink (DL) channel spatial covariance matrix at the BS is of fundamental importance for large-scale array systems operating in frequency division duplexing (FDD) mode. In particular, this knowledge plays a key role in the DL channel state information (CSI) acquisition. In the massive MIMO regime, traditional schemes based on DL pilots are severely limited by the covariance feedback and the DL training overhead. To overcome this problem, many authors have proposed to obtain an estimate of the DL spatial covariance based on uplink (UL) measurements. However, many of these approaches rely on simple channel models, and they are difficult to extend to more complex models that take into account important effects of propagation in 3D environments and of dual-polarized antenna arrays. In this study we propose a novel technique that takes into account the aforementioned effects, in compliance with the requirements of modern 4G and 5G system designs. Numerical simulations show the effectiveness of our approach. 

Document Doi Arxiv Bibtex

Titre:Downlink channel spatial covariance estimation in realistic FDD massive MIMO systems
Mots Clés:Massive MIMO, FDD, covariance matrix, 3D propagation, dual-polarized arrays
Type:Conférence
Langue:English
Ville:Anaheim
Pays:ÉTATS-UNIS
Date:
Département:Systèmes de Communication
Eurecom ref:5525
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Bibtex: @inproceedings{EURECOM+5525, doi = {http://dx.doi.org/10.1109/GlobalSIP.2018.8646487}, year = {2018}, title = {{D}ownlink channel spatial covariance estimation in realistic {FDD} massive {MIMO} systems}, author = {{M}iretti, {L}orenzo and {C}avalcante, {R}enato {L}uis {G}arrido and {S}tanczak, {S}lawomir}, booktitle = {{GLOBALSIP} 2018, 6th {IEEE} {G}lobal {C}onference on {S}ignal and {I}nformation {P}rocessing, {N}ovember 26-29, 2018, {A}naheim, {CA}, {USA}}, address = {{A}naheim, {\'{E}}{TATS}-{UNIS}}, month = {11}, url = {http://www.eurecom.fr/publication/5525} }
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