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Downlink Transmission in FBMC-based Massive MIMO with Co-located and Distributed Antennas
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In this paper, a practical precoding method for the downlink of filter
bank multicarrier-based (FBMC-based) massive multiple-input
multiple-output (MIMO) is developed. The proposed method includes a
two-stage precoder consisting of a fractionally spaced prefilter (FSP)
per subcarrier for flattening/equalizing the channel across the
subcarrier band, followed by a conventional precoder whose goal is to
concentrate the signals of different users at their spatial locations.
This way, each user receives only the intended information. We take note
of the fact that channel reciprocity may not hold perfectly in practical
scenarios due to the mismatch of radio chains in uplink and downlink.
Additionally, channel state information (CSI) at the base station may
not be perfectly known. These can lead to detrimental effects on the
downlink precoder performance. We theoretically analyze the performance
of the proposed precoder in the presence of imperfect CSI and channel
reciprocity calibration errors. This leads to an effective method for
compensating for these effects. Our study includes both cases of
co-located (i.e., cell-based) and cell-free massive MIMO. Finally, we
numerically evaluate the performance of the proposed precoder. Our
results show that the proposed precoder leads to an excellent
performance when benchmarked against orthogonal frequency division
multiplexing (OFDM).
Institute of Electrical and Electronics Engineers (IEEE)
Title: Downlink Transmission in FBMC-based Massive MIMO with Co-located and Distributed Antennas
Description:
In this paper, a practical precoding method for the downlink of filter
bank multicarrier-based (FBMC-based) massive multiple-input
multiple-output (MIMO) is developed.
The proposed method includes a
two-stage precoder consisting of a fractionally spaced prefilter (FSP)
per subcarrier for flattening/equalizing the channel across the
subcarrier band, followed by a conventional precoder whose goal is to
concentrate the signals of different users at their spatial locations.
This way, each user receives only the intended information.
We take note
of the fact that channel reciprocity may not hold perfectly in practical
scenarios due to the mismatch of radio chains in uplink and downlink.
Additionally, channel state information (CSI) at the base station may
not be perfectly known.
These can lead to detrimental effects on the
downlink precoder performance.
We theoretically analyze the performance
of the proposed precoder in the presence of imperfect CSI and channel
reciprocity calibration errors.
This leads to an effective method for
compensating for these effects.
Our study includes both cases of
co-located (i.
e.
, cell-based) and cell-free massive MIMO.
Finally, we
numerically evaluate the performance of the proposed precoder.
Our
results show that the proposed precoder leads to an excellent
performance when benchmarked against orthogonal frequency division
multiplexing (OFDM).
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