DC-Net: A Distant-range Content Interaction Network for Radio Map construction

IF 4.1 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

ICT Express Pub Date : 2024-10-01 DOI:10.1016/j.icte.2024.08.008

引用次数: 0

Abstract

The Radio Map (RM) stands as a powerful tool in wireless communication and radio regulation. Currently, several RM construction models based on Convolutional Neural Networks (CNNs) have been proposed. However, due to the inherent limitations of vanilla convolutions, capturing distant-range information of the radio propagation environment becomes challenge. Therefore, this letter introduces a novel RM construction model called Distant-range Content interaction Network (DC-Net) and validates its effectiveness using the RadioMapSeer dataset. Experiment results reveal that DC-Net achieves state-of-the-art performance in mapping accuracy for both known and unknown transmitter locations in RM construction.

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DC-Net：用于无线电地图构建的远距离内容交互网络

无线电地图（RM）是无线通信和无线电管理的有力工具。目前，已经提出了几种基于卷积神经网络（CNN）的无线电地图构建模型。然而，由于香草卷积的固有局限性，捕捉无线电传播环境的远距离信息成为难题。因此，本文介绍了一种名为 "远距离内容交互网络（DC-Net）"的新型 RM 构建模型，并使用 RadioMapSeer 数据集验证了其有效性。实验结果表明，在 RM 构建过程中，DC-Net 对已知和未知发射机位置的映射精度都达到了最先进的水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ICT Express Multiple-

CiteScore

10.20

自引率

1.90%

发文量

167

审稿时长

35 weeks

期刊介绍： The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.