Journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 22, Issue 5, Pages 3522-3536Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2022.3219463
Keywords
Sensors; Quality of service; Radar tracking; Location awareness; Resource management; Target tracking; Radar; Resource allocation; ISAC; perceptive network; sensing service
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In the upcoming next-generation (5G-Advanced and 6G) wireless networks, sensing as a service will play a more important role than ever before. Recently, the concept of perceptive network is proposed as a paradigm shift that provides sensing and communication (S&C) services simultaneously. This paper proposes the concept of sensing quality of service (QoS) in terms of diverse applications and establishes a unified framework for ISAC resource allocation, considering fairness and comprehensiveness optimization criteria. The proposed schemes can flexibly allocate the limited power and bandwidth resources according to both S&C QoSs, and the performance trade-off between S&C services in different resource allocation schemes is studied by numerical simulations.
In the upcoming next-generation (5G-Advanced and 6G) wireless networks, sensing as a service will play a more important role than ever before. Recently, the concept of perceptive network is proposed as a paradigm shift that provides sensing and communication (S&C) services simultaneously. This type of technology is typically referred to as Integrated Sensing and Communications (ISAC). In this paper, we propose the concept of sensing quality of service (QoS) in terms of diverse applications. Specifically, the probability of detection, the Cramer-Rao bound (CRB) for parameter estimation and the posterior CRB for moving target indication are employed to measure the sensing QoS for detection, localization, and tracking, respectively. Then, we establish a unified framework for ISAC resource allocation, where the fairness and the comprehensiveness optimization criteria are considered for the aforementioned sensing services. The proposed schemes can flexibly allocate the limited power and bandwidth resources according to both S&C QoSs. Finally, we study the performance trade-off between S&C services in different resource allocation schemes by numerical simulations.
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