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Signal detection and channel estimation using independent component analysis were also studied in large-scale MIMO, where the number of both transmitting and receiving antennas is 10 or more for the deep unfolding uplink.
Signal detection and channel estimation by applying deep unfolding to ICA are effective.
This was demonstrated by utilizing DU's advantage of convergence acceleration in the design of iterative signal processing algorithms.
In addition, channel estimation with regular matrices was found to be an effective means of channel estimation when deep decomposition is used.
There are three possible future prospects.
The first is to improve the accuracy of BER characteristics on downlink lines using DU.
The second is to improve the accuracy of BER characteristics and channel estimation by increasing the number of intermediate layers.
The third is to design circuits with loss functions that take into account the modules in the later stages.
These three points are the main focus of this study from now on. |
IEEE/ICACT20230070 Slide.28
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