Unsourced Random Access Using Transformer over Massive MIMO Time-variant Channels

Le résumé fourni par la source

This paper proposes a novel unsourced random access scheme that can consider relative movement between devices and a single base station, which is essentially different from conventional ones. Such movement causes the Doppler effect, which makes it very hard to track fast varying channel state information (CSI) and degrades accuracy of the channel estimation. Thus, the outdated estimate of CSI can heavily damage reliability of the symbol detection. For the purpose of solving this problem, a DopplerFormer model is proposed to infer the average Doppler shift for each user device. Therefore, the time-variation of the CSI can be compensated for, thereby improving the reliability of the symbol detection. Computer simulations demonstrate that the proposed scheme can effectively track time-variant CSI for a large number of mobile users.

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