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- W4293094929 abstract "In grant-free non-orthogonal multiple access, the set of active users is unknown a priori. We address the challenging problem of dynamic channel estimation in this context. Assuming that inactive users are completely muted (in order to avoid unwanted pilot/preamble interference on active users), we investigate a channel estimation method performed jointly with user activity detection, multi-user detection and decoding. Leveraging conditional independence assumptions in probabilistic modeling, we introduce a low-complexity channel estimation performing expectation propagation in parallel for the measurements over all receive antennas. The proposed channel estimation technique is evaluated under different receive antenna correlation models and shows a good performance/complexity tradeoff with respect to joint measurement processing." @default.
- W4293094929 created "2022-08-26" @default.
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- W4293094929 date "2022-06-01" @default.
- W4293094929 modified "2023-09-24" @default.
- W4293094929 title "Low-Complexity Dynamic Channel Estimation in Multi-Antenna Grant-Free NOMA" @default.
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- W4293094929 doi "https://doi.org/10.1109/vtc2022-spring54318.2022.9860401" @default.
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