Deep Learning for Synchronization and Channel Estimation in NB-IoT ...
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Abstract: The central challenge in supporting massive IoT connectivity is the uncoordinated, random access by sporadically active devices. The random access ...
Jun 6, 2019 · The main purpose of the random access preamble is to make the base station able to detect each transmitting user and estimate the ...
The proposed method is applied to the random access protocol of Narrowband IoT (NB-IoT), preserving its standard preamble structure and obtains excellent ...
Dec 9, 2019 · Specifically, the proposed method is applied to the random access protocol of Narrowband IoT (NB-IoT), preserving its standard preamble.
Dec 11, 2019 · This motivates the pursuit of joint synchronization and channel estimation, rather than the traditional approach of handling them separately.
Feb 27, 2020 · This motivates the pursuit of joint synchronization and channel estimation, rather than the traditional approach of handling them separately.
We propose a neural network (NN)-based algorithm for device detection and time of arrival (ToA) and carrier frequency offset (CFO) estimation.
Jul 29, 2022 · Abstract—We propose a neural network (NN)-based algorithm for device detection and time of arrival (ToA) and carrier frequency offset (CFO) ...
Apr 10, 2022 · An NB-IoT user equipment (UE) requiring network access first transmits a preamble on the NB-IoT physical random access channel (NPRACH). The ...
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Jul 5, 2022 · In [55], deep learning is used for channel synchronization and estimation in the random-access channel of narrowband IoT. The authors performed ...