Low-complexity dynamic channel estimation in multi-antenna grant-free NOMA - Archive ouverte HAL
Conference Papers Year : 2022

Low-complexity dynamic channel estimation in multi-antenna grant-free NOMA

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.
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Dates and versions

hal-03782189 , version 1 (21-09-2022)

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Cite

Fakher Sagheer, Frederic Lehmann, Antoine O. Berthet. Low-complexity dynamic channel estimation in multi-antenna grant-free NOMA. 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring), Jun 2022, Helsinki, Finland. pp.1-7, ⟨10.1109/VTC2022-Spring54318.2022.9860401⟩. ⟨hal-03782189⟩
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