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Indoor Localization Based on MSC Map

Łukasz Kułacz, Adrian Kliks, Julius Ruseckas, Gediminas Molis

TL;DR

A technique for AI-based identification of modulation and coding schemes (MCS) in surrounding cellular signals based on the created MCS map is proposed and the performance of indoor localization techniques is evaluated.

Abstract

In this short paper, we propose a technique for AI-based identification of modulation and coding schemes (MCS) in surrounding cellular signals. Based on the created MCS map, we evaluate the performance of indoor localization techniques.

Indoor Localization Based on MSC Map

TL;DR

A technique for AI-based identification of modulation and coding schemes (MCS) in surrounding cellular signals based on the created MCS map is proposed and the performance of indoor localization techniques is evaluated.

Abstract

In this short paper, we propose a technique for AI-based identification of modulation and coding schemes (MCS) in surrounding cellular signals. Based on the created MCS map, we evaluate the performance of indoor localization techniques.

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