Quality of Service Radar Resource Management With Task Dependencies

This article presents an exact quality of service radar resource management model which considers pairwise dependencies between tasks and is based on mixed-integer programming. This is in contrast to the common approach, which is not able to model any dependencies and, hence, has to assume independence among the tasks, which is generally an incorrect simplification. We define and implement substitutabilities between radar tasks with regard to their utility. Numerical results demonstrate that in scenarios with substituabilities, the proposed method can achieve a significantly better operational radar performance than a traditional approach, especially in high load situations. Though, a drawback of the added complexity due to considering dependencies is an increased computational runtime in comparison to the common method. Due to implementing dependencies, the method is especially well suited for complex scenarios with many substituabilities among radar tasks that need to be exploited under high task load.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2024-11-25
DOI
https://doi.org/10.1109/taes.2024.3506497
Primary Topic
Advanced Queuing Theory Analysis
Type
article
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article

Quality of Service Radar Resource Management With Task Dependencies

Christoph Vollweiter
IEEE Transactions on Aerospace and Electronic Systems
Advanced Queuing Theory Analysis
article

Quality of Service Radar Resource Management With Task Dependencies

Christoph Vollweiter
article en

Abstract

This article presents an exact quality of service radar resource management model which considers pairwise dependencies between tasks and is based on mixed-integer programming. This is in contrast to the common approach, which is not able to model any dependencies and, hence, has to assume independence among the tasks, which is generally an incorrect simplification. We define and implement substitutabilities between radar tasks with regard to their utility. Numerical results demonstrate that in scenarios with substituabilities, the proposed method can achieve a significantly better operational radar performance than a traditional approach, especially in high load situations. Though, a drawback of the added complexity due to considering dependencies is an increased computational runtime in comparison to the common method. Due to implementing dependencies, the method is especially well suited for complex scenarios with many substituabilities among radar tasks that need to be exploited under high task load.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(2)
Fraunhofer Institute for Communication, Information Processing and Ergonomics (DE)
Decent work and economic growth
Openalex Percentile: Top 67%
Advanced Queuing Theory Analysis
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