Salvato in:
Dettagli Bibliografici
Autori principali: Vasquez-Peralvo, Juan Andrés, Zorkun, Aral Ertug, Querol, Jorge, Lagunas, Eva, Ortiz, Flor, Garcés-Socarrás, Luis Manuel, González-Rios, Jorge Luis, Chatzinotas, Symeon
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:https://arxiv.org/abs/2502.16592
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866916626167758848
author Vasquez-Peralvo, Juan Andrés
Zorkun, Aral Ertug
Querol, Jorge
Lagunas, Eva
Ortiz, Flor
Garcés-Socarrás, Luis Manuel
González-Rios, Jorge Luis
Chatzinotas, Symeon
author_facet Vasquez-Peralvo, Juan Andrés
Zorkun, Aral Ertug
Querol, Jorge
Lagunas, Eva
Ortiz, Flor
Garcés-Socarrás, Luis Manuel
González-Rios, Jorge Luis
Chatzinotas, Symeon
contents Recent advancements in onboard satellite communication have significantly enhanced the ability to dynamically modify the radiation pattern of a Direct Radiating Array, which is essential for both conventional communication satellites like GEO and those in lower orbits such as LEO. This is particularly relevant for communication at 28 GHz, a key frequency in the mmWave spectrum, used for high-bandwidth satellite links and 5G communications. Critical design factors include the number of beams, beamwidth, and SLL for each beam. However, in multibeam scenarios, balancing these design factors can result in uneven power distribution, leading to over-saturation in centrally located antenna elements due to frequent activations. This paper introduces a GA-based approach to optimize beamforming coefficients by modulating the amplitude component of the weight matrix, while imposing a constraint on activation instances per element to avoid over-saturation in the RF chain. The proposed method, tested on an 16x16 DRA patch antenna array at 28 GHz for a CubeSat orbiting at 500 km, demonstrates how the algorithm efficiently meets beam pattern requirements and ensures uniform activation distribution. These findings are particularly relevant for emerging satellite systems and 5G networks operating in the mmWave spectrum.
format Preprint
id arxiv_https___arxiv_org_abs_2502_16592
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimizing Antenna Activation for Even Power Distribution in Multi-Beam Satellite Systems Using Genetic Algorithm
Vasquez-Peralvo, Juan Andrés
Zorkun, Aral Ertug
Querol, Jorge
Lagunas, Eva
Ortiz, Flor
Garcés-Socarrás, Luis Manuel
González-Rios, Jorge Luis
Chatzinotas, Symeon
Signal Processing
Recent advancements in onboard satellite communication have significantly enhanced the ability to dynamically modify the radiation pattern of a Direct Radiating Array, which is essential for both conventional communication satellites like GEO and those in lower orbits such as LEO. This is particularly relevant for communication at 28 GHz, a key frequency in the mmWave spectrum, used for high-bandwidth satellite links and 5G communications. Critical design factors include the number of beams, beamwidth, and SLL for each beam. However, in multibeam scenarios, balancing these design factors can result in uneven power distribution, leading to over-saturation in centrally located antenna elements due to frequent activations. This paper introduces a GA-based approach to optimize beamforming coefficients by modulating the amplitude component of the weight matrix, while imposing a constraint on activation instances per element to avoid over-saturation in the RF chain. The proposed method, tested on an 16x16 DRA patch antenna array at 28 GHz for a CubeSat orbiting at 500 km, demonstrates how the algorithm efficiently meets beam pattern requirements and ensures uniform activation distribution. These findings are particularly relevant for emerging satellite systems and 5G networks operating in the mmWave spectrum.
title Optimizing Antenna Activation for Even Power Distribution in Multi-Beam Satellite Systems Using Genetic Algorithm
topic Signal Processing
url https://arxiv.org/abs/2502.16592