RAIN attenuation is a major concern in satellite links operating in
Ka-band, and fade mitigation comes at the expense of higher satellite
resource consumption, such as bandwidth and power. An accurate
estimation of these resources is essential for the satellite service
providers’ overall service pricing. However, the spatial correlation of
rain fade introduces a high level of model complexity, such that its
impact on resource consumption is currently unknown. This paper proposes
a satellite resource dimensioning process that accounts for such a
correlation. Firstly, broadband satellite networks and service level
agreements are introduced along with existing dimensioning techniques.
Then, a resource demand model is presented, from a single terminal to a
system-wide point of view. Subsequently, the satellite resource
dimensioning problem is formulated as a quantile estimation problem. A
Monte Carlo process is proposed to solve the problem for a given
relative confidence interval using spatially correlated rain fade sample
generators. Finally, residential and enterprise broadband satellite
simulation scenarios are thoroughly presented and numerical results are
provided. Comparing these results against optimistic (independent) and
pessimistic (fully correlated) rain fade assumptions found in existing
dimensioning techniques, the proposed method shows that these techniques
can underestimate by up to 70% or overestimate by up to 60% the
satellite resource consumption.