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Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory
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DOI：10.1109/TWC.2023.3257196.png)
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摘要
En 中文
LA is one of the most important aspects of wireless communications where the MCS used by the transmitter is adapted to the channel conditions in order to meet a certain target error-rate. In a SU-SISO system with out-of-cell interference, LA is performed by computing the post-equalization SINR at the receiver. The same technique can be employed in MU-MIMO receivers that use linear detectors. Another important use of post-equalization SINR is for PHY abstraction, where several PHY blocks like the channel encoder, the detector, and the channel decoder are replaced by an abstraction model in order to speed up system-level simulations. However, for MU-MIMO systems with non-linear receivers, there is no known equivalent of post-equalization SINR which makes both LA and PHY abstraction extremely challenging. This important issue is addressed in this two-part paper. In this part, a metric called the BMDR of a detector, which is the proposed equivalent of post-equalization SINR, is presented. Since BMDR does not have a closed form expression that would enable its instantaneous calculation, a machine-learning approach to predict it is presented along with extensive simulation results.
Keyword:
Bit-metric decoding rate (BMDR)
convolutional neural network (CNN)
linear minimum mean square error (LMMSE)
link-adaptation (LA)
K-best detector
multi-user MIMO (MU-MIMO)
orthogonal frequency division multiplexing (OFDM)
physical layer (PHY) abstraction
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
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