DocumentCode :
2081735
Title :
Decontaminating pilots in massive MIMO systems
Author :
Haifan Yin ; Gesbert, David ; Filippou, Miltiades C. ; Yingzhuang Liu
Author_Institution :
Mobile Commun. Dept., EURECOM, Biot, France
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
3170
Lastpage :
3175
Abstract :
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.
Keywords :
MIMO communication; antenna arrays; fading channels; radiofrequency interference; statistical analysis; antenna array sizes; channel estimation degradation; channel fading statistics; interference signal; large-scale antenna systems; massive MIMO systems; pilot decontamination; second-order statistics; user-to-pilot assignment method; Antennas; Base stations; Channel estimation; Contamination; Covariance matrices; Estimation; Interference; channel estimation; covariance information; massive MIMO; pilot contamination; scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6655031
Filename :
6655031
Link To Document :
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