MaxRay: A Raytracing-based Integrated Sensing and Communication Framework

TL;DR

MaxRay is a comprehensive simulation framework that integrates communication and sensing, enabling the evaluation of sensing techniques and clutter removal in industrial scenarios for improved environmental perception.

Contribution

The paper introduces MaxRay, a novel integrated sensing and communication framework that simulates joint perception tasks and evaluates multiple sensing metrics and clutter removal methods.

Findings

Prominence-based metric effectively covers most algorithms

Clutter removal techniques are essential for target detection in industrial environments

MaxRay enables automatic dataset creation for diverse sensing tasks

Abstract

Integrated Sensing And Communication (ISAC)forms a symbiosis between the human need for communication and the need for increasing productivity, by extracting environmental information leveraging the communication network. As multiple sensory already create a perception of the environment, an investigation into the advantages of ISAC compare to such modalities is required. Therefore, we introduce MaxRay, an ISAC framework allowing to simulate communication, sensing, and additional sensory jointly. Emphasizing the challenges for creating such sensing networks, we introduce the required propagation properties for sensing and how they are leveraged. To compare the performance of the different sensing techniques, we analyze four commonly used metrics used in different fields and evaluate their advantages and disadvantages for sensing. We depict that a metric based on prominence is suitable to cover most algorithms. Further we highlight the requirement of clutter removal algorithms, using two standard clutter removal techniques to detect a target in a typical industrial scenario. In general a versatile framework, allowing to create automatically labeled datasets to investigate a large variety of tasks is demonstrated.