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Ilari Angervuori

Publications and source records attributed to Ilari Angervuori.

3 recordsLinked to original sources

Spatial and Temporal Correlation of Interference in a Narrow Multibeam LEO Satellite Random Access Network

Interference is a limiting factor in the emerging dense low Earth orbit (LEO) networks. In the LEO network, the interference is spatially and temporally correlated. At narrow-beam LEO base stations (BSs), spatial interference can vary significantly, and multipath fading introduces temporal variation. While developing novel stochastic geometry analysis in a multibeam scenario, we explore spatio-temporal interference correlation in the LEO uplink. We derive a closed-form expression for the spatio-temporal interference correlation coefficient. As an application of the analysis, we show that the signal-to-interference ratio (SIR) entails significant spatial clustering. In this regard, we demonstrate that an appropriately designed grant-free random access scheme, particularly slotted ALOHA, can mitigate spatial SIR clustering over the beams while preserving average throughput. Furthermore, we propose a novel gamma distribution model for the interference power distribution and a Lomax distribution model for the SIR.

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Stochastic Analysis of Successive Interference Cancellation in a Narrow-Beam LEO Uplink

We investigate SIR distributions and order statistics of user equipments (UEs) at a typical low Earth orbit satellite base station (LEO BS) with narrow Gaussian antenna beams in the uplink. We analyze SIR distributions for the three strongest UEs under successive interference cancellation (SIC), using a Gaussian mixture shadowing model. The UEs are distributed on Earth according to a Poisson point process (PPP). We show that SIC enables each LEO BS to serve multiple UEs per beam cell, achieving simultaneously a good average network throughput and user fairness.

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Downlink Coverage and Rate Analysis of Low Earth Orbit Satellite Constellations Using Stochastic Geometry

As low Earth orbit (LEO) satellite communication systems are gaining increasing popularity, new theoretical methodologies are required to investigate such networks' performance at large. This is because deterministic and location-based models that have previously been applied to analyze satellite systems are typically restricted to support simulations only. In this paper, we derive analytical expressions for the downlink coverage probability and average data rate of generic LEO networks, regardless of the actual satellites' locality and their service area geometry. Our solution stems from stochastic geometry, which abstracts the generic networks into uniform binomial point processes. Applying the proposed model, we then study the performance of the networks as a function of key constellation design parameters. Finally, to fit the theoretical modeling more precisely to real deterministic constellations, we introduce the effective number of satellites as a parameter to compensate for the practical uneven distribution of satellites on different latitudes. In addition to deriving exact network performance metrics, the study reveals several guidelines for selecting the design parameters for future massive LEO constellations, e.g., the number of frequency channels and altitude.

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