Mar 8, 2024 · This paper introduces a novel two-dimensional RC (2D-RC) approach for online symbol detection on a subframe basis in the OTFS system.
The OTFS symbol detection task is to recover the transmit- ted DD-domain symbol X in one OTFS subframe from the received signal. To aid the detection of the ...
Jun 28, 2024 · This paper introduces a novel two-dimensional RC (2D-RC) approach for online symbol detection on a subframe basis in the OTFS system. The 2D-RC ...
Aug 5, 2024 · Numerical experiments demonstrate the advantages of the 2D-RC approach over the previous RC-based approach and compared model-based methods ...
Jun 25, 2024 · Experimental results demonstrate that the 2D-RC approach outperforms the previous RC-based method as well as model-based detection techniques ...
Oct 22, 2024 · Since the input-output relation of OTFS is in 2D delay-Doppler domain, we propose a two-dimensional convolutional neural network (2D-CNN) based ...
Learning-based. Methods. • Explicit system modeling. • Channel state ... • Two-dimensional reservoir computing (2D-RC) for OTFS symbol detection.
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This letter presents a deep learning-based signal detection for OTFS systems using a two-dimensional convolutional neural network (2D-CNN) based detector ...
In this paper, we investigate a neural network-based learning approach towards solving an integer-constrained programming problem using very limited training.
This paper demonstrates the excellent performance of the proposed OTFS detector and its applicability to IoV systems.