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

Channel covariance estimation in massive MIMO frequency division duplex systems

Decurninge, Alexis; Guillaud, Maxime; Slock, Dirk TM

GLOBECOM 2015, IEEE Global Communications Conference, "Massive MIMO: From theory to practice" workshop, December 6-10, 2015, San Diego, CA, USA

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.

Document Doi Arxiv Bibtex

Titre:Channel covariance estimation in massive MIMO frequency division duplex systems
Ville:San Diego
Département:Systèmes de Communication
Eurecom ref:4762
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Bibtex: @inproceedings{EURECOM+4762, doi = {}, year = {2015}, title = {{C}hannel covariance estimation in massive {MIMO} frequency division duplex systems}, author = {{D}ecurninge, {A}lexis and {G}uillaud, {M}axime and {S}lock, {D}irk {TM}}, booktitle = {{GLOBECOM} 2015, {IEEE} {G}lobal {C}ommunications {C}onference, "{M}assive {MIMO}: {F}rom theory to practice" workshop, {D}ecember 6-10, 2015, {S}an {D}iego, {CA}, {USA} }, address = {{S}an {D}iego, {\'{E}}{TATS}-{UNIS}}, month = {12}, url = {} }
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