SUPR
Adaptive Modulation and Coding Simulations
Dnr:

NAISS 2024/22-1693

Type:

NAISS Small Compute

Principal Investigator:

Emil Björnson

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2024-12-30

End Date:

2026-01-01

Primary Classification:

20203: Communication Systems

Webpage:

Allocation

Abstract

This is a project together with Master students at KTH where we explore how adaptive modulation and coding methods work in real wireless communication systems. The goal is to compute block error probabilities through Monte Carlo methods using realistic data block lengths and coding schemes, and explore how to optimally perform adaptive modulation and coding in these systems. The simulations are based on the Sionna "An Open-Source Library for 6G Physical-Layer Research", which is designed for using GPUs to run advanced simulations.