Abstract
In the upcoming next-generation (5G-Advanced and 6G) wireless networks, sensing as a service will play a more important role than ever before. This chapter presents the concept of sensing quality of service (QoS) in terms of diverse sensing tasks, and a unified framework for integrated sensing and communication (ISAC) resource allocation. Specifically, we adopt the traditional radar metrics such as the probability of detection, the Crámer-Rao bound (CRB) and posterior Crámer-Rao bound (PCRB) to measure the sensing QoS for detection, localization, and tracking, respectively. Then, resource allocation schemes based on fairness and comprehensiveness criteria are considered for the aforementioned sensing services, which can flexibly allocate the limited power and bandwidth resources according to both sensing and communication (S&C) QoSs. The numerical simulations are provided to evaluate the performance trade-off between S&C services.
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Dong, F., Liu, F., Masouros, C. (2023). PHY Tradeoff and Resource Allocation for ISAC. In: Liu, F., Masouros, C., Eldar, Y.C. (eds) Integrated Sensing and Communications. Springer, Singapore. https://doi.org/10.1007/978-981-99-2501-8_6
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DOI: https://doi.org/10.1007/978-981-99-2501-8_6
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