Optimal Resource Allocation Strategy for ISAC Cellular Network with
Multiple User Demands
Abstract
Future communication networks are widely considered to be able to
provide both high-speed communication service and reliable sensing
service. Integrated sensing and communication (ISAC) has been a novel
trend due to its possible hardware gain and spectrum gain by the
integration of signal communication and sensing capabilities.
Appropriate resource allocation strategy is essential for ensuring the
quality of both communication and sensing services in terms of ISAC.
Existing ISAC-based resource allocation schemes mainly focus on the
coexistence of sensing and communication. However, in multi-user ISAC
networks, the services required by users are diverse, including
sensing-only, communication-only and dual-function cases. To this end,
we proposes a resource allocation strategy based on user quality of
service(QoS). Specifically, the sum rate of cellular network is
maximized via optimizing spectrum resource selection and transmit power,
while meeting the sensing QoS. We achieve the optimal solution to the
entire problem by first demonstrating that the communication rate in
this paper is a monotonically increasing function of sensing power,
allowing us to obtain the optimal power allocation scheme. Subsequently,
we employ a matching method to obtain the optimal spectrum sharing
scheme.