Pilot decontamination based on superimposed pilots assisted by time-multiplexed pilots in massive MIMO networks
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Authors
Lago, Luis A.
Zhang, Yan
Akbar, Noman
Fei, Zesong
Yang, Nan
He, Zunwen
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
Pilot contamination has been recognized as one of the
main limiting factors in massive multiple-input multiple-output
(MIMO) since it damages the acquisition of accurate channel state
information (CSI) at base stations. In this work, we propose a
novel pilot decontamination approach in a massive MIMO network
where the time division duplex operation is assumed. In our proposed approach, user equipments are allowed to use superimposed
(SP) pilots in combination with time-multiplexed (TM) pilots to
estimate the CSI prior to downlink data transmission. Specifically,
the contaminated channel estimates obtained by TM pilots are
used to reduce the amount of interference caused by transmitting
pilots together with uplink data, which is a typical problem in SP
pilots-based channel estimation. Through numerical results, we
show that the interference that emerges from transmitting pilots
with data is substantially reduced by our proposed approach. This
reduction, in combination with the reduced overhead in TM pilots
transmission, leads to an improved spectral efficiency achieved in
massive MIMO networks
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IEEE Transactions on Vehicular Technology
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Restricted until
2099-12-31