Jan 1, 2024 · We proposes a novel intelligent receiver consisting of a pre-denoised network and a stacked long-short term memory (LSTM) network to achieve more reliable ...

Jun 20, 2024 · To satisfy the requirement for more reliable information transmission, traditional PL receivers typically employ a step-by-step serial signal.

In this correspondence , we proposes a novel intelligent receiver consisting of a pre-denoised network and a stacked long-short term memory (LSTM) network to ...

Oct 22, 2024 · The pure-SLSTM represents the case without the PDN module for denoising. ... Deep Learning Based Physical-Layer Receiver With Pre-Denoise.

In this article, we provide a literature review on the applications of DL in the physical layer. First, we analyze the limitations of existing signal ...

Feb 19, 2019 · This article provides an overview on the recent advancements in DL-based physical layer communications. DL can improve the performance of each ...

Aug 12, 2023 · This article is to uncover the latest advancements in the field of deep learning-based algorithm methods in the physical layer of wireless ...

Traditional physical-layer receivers are typically composed of step-by-step serial processing modules heavily relying on complex hardware ...

Using. FIT/CorteXlab allows to control the propaga- tion environment as well as the interference profile, which in turn enables full control of the generated ...

Abstract. This paper proposes a Deep Learning approach to radio signal de-noising. Being data-driven, it allows de-noising signals.