Asymptotic Scaling Law Analysis of Multicast Satellite Communications with Massive MIMO

Fuente: arXiv
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Autori principali: Kim, Seyong, Park, Jeonghun
Natura: Preprint
Pubblicazione: 2025
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author Kim, Seyong
Park, Jeonghun
author_facet Kim, Seyong
Park, Jeonghun
contents In this paper, we consider a geostationary orbit (GEO) satellite communication system that employs massive multiple-input multiple-output (MIMO) for multicast transmission. By modeling the spatial distribution of ground users using a Poisson point process (PPP) and assuming a fixed-beam precoding is adopted, we find a closed-form expression for the asymptotical rate scaling law as a function of the number of antennas and the scaling factors of user density and multicast users. From the derived analytical expression, we reveal that the rate degradation caused by multicast transmission can be precisely compensated by increasing the user density accordingly.
format Preprint
id arxiv_https___arxiv_org_abs_2509_16921
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic Scaling Law Analysis of Multicast Satellite Communications with Massive MIMO
Kim, Seyong
Park, Jeonghun
Signal Processing
In this paper, we consider a geostationary orbit (GEO) satellite communication system that employs massive multiple-input multiple-output (MIMO) for multicast transmission. By modeling the spatial distribution of ground users using a Poisson point process (PPP) and assuming a fixed-beam precoding is adopted, we find a closed-form expression for the asymptotical rate scaling law as a function of the number of antennas and the scaling factors of user density and multicast users. From the derived analytical expression, we reveal that the rate degradation caused by multicast transmission can be precisely compensated by increasing the user density accordingly.
title Asymptotic Scaling Law Analysis of Multicast Satellite Communications with Massive MIMO
topic Signal Processing
url https://arxiv.org/abs/2509.16921