2021/12/03 by M. Arnold, M. Bauhofer, Arnold, M. +11 · 2 citations
Agricultural and Biological Sciences · Engineering · Environmental Science · #Advanced Chemical Sensor Technologies #Air Quality Monitoring and Forecasting #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Theory (cs.IT) #Insect Pheromone Research and Control
paper · pdf · doi:10.48550/arxiv.2112.01751
openalex publication_date 2021/12/03 · openalex created_date 2022/11/12 · openalex updated_date 2026/07/28
Integrated Sensing And Communication (ISAC)forms a symbiosis between the\nhuman need for communication and the need for increasing productivity, by\nextracting environmental information leveraging the communication network. As\nmultiple sensory already create a perception of the environment, an\ninvestigation into the advantages of ISAC compare to such modalities is\nrequired. Therefore, we introduce MaxRay, an ISAC framework allowing to\nsimulate communication, sensing, and additional sensory jointly. Emphasizing\nthe challenges for creating such sensing networks, we introduce the required\npropagation properties for sensing and how they are leveraged. To compare the\nperformance of the different sensing techniques, we analyze four commonly used\nmetrics used in different fields and evaluate their advantages and\ndisadvantages for sensing. We depict that a metric based on prominence is\nsuitable to cover most algorithms. Further we highlight the requirement of\nclutter removal algorithms, using two standard clutter removal techniques to\ndetect a target in a typical industrial scenario. In general a versatile\nframework, allowing to create automatically labeled datasets to investigate a\nlarge variety of tasks is demonstrated.\n