Algorithm for AGC index management against crowded radio environment

Fuente: arXiv
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Auteurs principaux: Joly, Morgane, Rivière, Fabian, Renault, Éric
Format: Preprint
Publié: 2024
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author Joly, Morgane
Rivière, Fabian
Renault, Éric
author_facet Joly, Morgane
Rivière, Fabian
Renault, Éric
contents This paper describes a receiver that uses an innovative method to predict, according to history of receiver operating metrics (packet lost/well received), the optimum automatic gain control (AGC) index or most appropriate variable gain range to be used for next packet reception, anticipating an interferer appearing during the payload reception. This allows the receiver to have higher immunity to interferers even if they occur during the gain frozen payload reception period whilst still ensuring an optimum sensitivity level. As a result, the method allows setting the receiver gain to get an optimum trade-off between reception sensitivity and random interferer immunity.
format Preprint
id arxiv_https___arxiv_org_abs_2404_08652
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Algorithm for AGC index management against crowded radio environment
Joly, Morgane
Rivière, Fabian
Renault, Éric
Networking and Internet Architecture
Artificial Intelligence
Machine Learning
This paper describes a receiver that uses an innovative method to predict, according to history of receiver operating metrics (packet lost/well received), the optimum automatic gain control (AGC) index or most appropriate variable gain range to be used for next packet reception, anticipating an interferer appearing during the payload reception. This allows the receiver to have higher immunity to interferers even if they occur during the gain frozen payload reception period whilst still ensuring an optimum sensitivity level. As a result, the method allows setting the receiver gain to get an optimum trade-off between reception sensitivity and random interferer immunity.
title Algorithm for AGC index management against crowded radio environment
topic Networking and Internet Architecture
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2404.08652