Salvato in:
Dettagli Bibliografici
Autori principali: Zhao, Le, Fei, Zesong, Wang, Xinyi, Huang, Jingxuan, Li, Yuan, Zhang, Yan
Natura: Preprint
Pubblicazione: 2024
Soggetti:
Accesso online:https://arxiv.org/abs/2412.01279
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866917853442080768
author Zhao, Le
Fei, Zesong
Wang, Xinyi
Huang, Jingxuan
Li, Yuan
Zhang, Yan
author_facet Zhao, Le
Fei, Zesong
Wang, Xinyi
Huang, Jingxuan
Li, Yuan
Zhang, Yan
contents This paper presents a novel two-stage method for constructing channel knowledge maps (CKMs) specifically for A2G (Aerial-to-Ground) channels in the presence of non-cooperative interfering nodes (INs). We first estimate the interfering signal strength (ISS) at sampling locations based on total received signal strength measurements and the desired communication signal strength (DSS) map constructed with environmental topology. Next, an ISS map construction network (IMNet) is proposed, where a negative value correction module is included to enable precise reconstruction. Subsequently, we further execute signal-to-interference-plus-noise ratio map construction and IN localization. Simulation results demonstrate lower construction error of the proposed IMNet compared to baselines in the presence of interference.
format Preprint
id arxiv_https___arxiv_org_abs_2412_01279
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle IMNet: Interference-Aware Channel Knowledge Map Construction and Localization
Zhao, Le
Fei, Zesong
Wang, Xinyi
Huang, Jingxuan
Li, Yuan
Zhang, Yan
Signal Processing
This paper presents a novel two-stage method for constructing channel knowledge maps (CKMs) specifically for A2G (Aerial-to-Ground) channels in the presence of non-cooperative interfering nodes (INs). We first estimate the interfering signal strength (ISS) at sampling locations based on total received signal strength measurements and the desired communication signal strength (DSS) map constructed with environmental topology. Next, an ISS map construction network (IMNet) is proposed, where a negative value correction module is included to enable precise reconstruction. Subsequently, we further execute signal-to-interference-plus-noise ratio map construction and IN localization. Simulation results demonstrate lower construction error of the proposed IMNet compared to baselines in the presence of interference.
title IMNet: Interference-Aware Channel Knowledge Map Construction and Localization
topic Signal Processing
url https://arxiv.org/abs/2412.01279