Graduate School and Research Center in Digital Sciences

Decontaminating pilots in massive MIMO systems

Yin, Haifan; Gesbert, David; Filippou, Miltiades C; Liu, Yingzhuang

ICC 2013, IEEE International Conference on Communications, 9-13 June 2013, Budapest, Hungary

Pilot contamination is known to severely limit the performance of large-scale antenna ("massive MIMO") systems due to degraded channel estimation. This paper proposes a twofold approach to this problem. First we show analytically that pilot contamination can be made to vanish asymptotically in the number of antennas for a certain class of channel fading statistics. The key lies in setting a suitable condition on the second order statistics for desired and interference signals. Second we show how a coordinated user-to-pilot assignment method can be devised to help fulfill this condition in practical networks. Large gains are illustrated in our simulations for even small antenna array sizes.

Document Doi Bibtex

Title:Decontaminating pilots in massive MIMO systems
Keywords:massive MIMO, pilot contamination, channel estimation, scheduling, covariance information
Type:Conference
Language:English
City:Budapest
Country:HUNGARY
Date:
Department:Communication systems
Eurecom ref:3920
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Bibtex: @inproceedings{EURECOM+3920, doi = {http://dx.doi.org/10.1109/ICC.2013.6655031}, year = {2013}, title = {{D}econtaminating pilots in massive {MIMO} systems}, author = {{Y}in, {H}aifan and {G}esbert, {D}avid and {F}ilippou, {M}iltiades {C} and {L}iu, {Y}ingzhuang}, booktitle = {{ICC} 2013, {IEEE} {I}nternational {C}onference on {C}ommunications, 9-13 {J}une 2013, {B}udapest, {H}ungary}, address = {{B}udapest, {HUNGARY}}, month = {06}, url = {http://www.eurecom.fr/publication/3920} }
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