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- W4377130470 abstract "This letter proposes a model for symbol detection in the uplink of IRS-assisted networks in the presence of channel aging. During the first stage, we model the received pilot signal as a tensor, which serves as a basis for both estimating the channel and configuring the IRS. In the second stage, the proposed tensor approach tracks the aging process to detect and estimate the transmitted data symbols. Our evaluations show that our proposed channel and symbol estimation schemes improve the performance of IRS-assisted systems in terms of the achieved bit error rate and mean squared error of the received data, compared to state of the art schemes." @default.
- W4377130470 created "2023-05-21" @default.
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- W4377130470 date "2023-05-17" @default.
- W4377130470 modified "2023-09-27" @default.
- W4377130470 title "Tensor-Based Channel Estimation and Data-Aided Tracking in IRS-Assisted MIMO Systems" @default.
- W4377130470 doi "https://doi.org/10.48550/arxiv.2305.10499" @default.
- W4377130470 hasPublicationYear "2023" @default.
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