Localization as a Service in Perceptive Networks: An ISAC Resource Allocation Framework

Abstract

In the upcoming next-generation (5G-Advanced and 6G) wireless networks, the Integrated Sensing and Communications (ISAC) technique is proposed as a paradigm shift that provides sensing and communication (S&C) services simultaneously. For target localization in the ISAC framework, the limited resources should be appropriately allocated to achieve optimal target localization accuracy while guaranteeing the communication quality of service (QoS). To this end, we proposed a joint power and bandwidth allocation scheme in this paper, minimizing the sum of Crámer-Rao bound (CRB) for range and azimuth estimations at the constraint of communication achievable sumrate. First, we unify the sensing effective bandwidth with the normal bandwidth by determining the sensing waveform. Then, the alternative optimization (AO) method is employed to decouple the power and bandwidth variables. Finally, we study the performance trade-off between S&C services by numerical simulations.