Advancements in Non-Terrestrial Network Modeling and Simulation

The field of non-terrestrial networks (NTNs) is rapidly evolving, with a focus on developing innovative models and simulation tools to analyze and optimize network performance. Recent research has highlighted the importance of considering the unique characteristics of NTNs, such as satellite network topology and interference analysis, to achieve accurate performance evaluation. The use of stochastic geometry and spherical models has been shown to provide low-complexity performance analysis solutions, while also accounting for the curvature of the Earth. Additionally, the development of new simulation tools, such as the Deep Space Network Simulator (DSNS), is enabling fast iteration on protocol development and testing of parameters under highly realistic conditions. Noteworthy papers in this area include:

  • A Novel Hybrid Optical and STAR IRS System for NTN Communications, which proposes a novel system model integrating optical intelligent reflecting surfaces and simultaneous transmitting and reflecting Intelligent reflecting surfaces to address critical challenges in next-generation communication networks.
  • DSNS: The Deep Space Network Simulator, which presents a new network simulator with a focus on large-scale satellite networks, demonstrating improved capabilities and flexibility compared to existing offerings.

Sources

Performance Analysis of SAGIN from the Relay Perspective: A Spherical Stochastic Geometry Approach

Non-Terrestrial Network Models Using Stochastic Geometry: Planar or Spherical?

Numerical Errors in Quantitative System Analysis With Decision Diagrams

A Novel Hybrid Optical and STAR IRS System for NTN Communications

DSNS: The Deep Space Network Simulator

Error Accumulation using Linearized Models for Aggregating Flexibility in Distribution Systems

Error Bounds for Radial Network Topology Learning from Quantized Measurements

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