Opportunistic Reuse of Spatial-Temporal Resources in Multi-User ISAC Systems for Value of Service Maximization

Supporting rapidly growing industrial applications with complex heterogeneous service requests exacerbates the radio resource shortage, posing a perpetual challenge for future networks. Emerging beyond-communication technologies for providing concurrent services, such as integrated sensing and communication (ISAC), further complicate resource allocation due to the uneven and non-uniform distribution of heterogeneous service demands as well as the growing network conflict among concurrent services. To tackle these issues, this paper propose an opportunistic spatiotemporal resource reuse scheme that optimally improve resource utilization efficiency by leveraging the disparities in resource utilization capabilities among users across both spatial and temporal domains. To enhance the heterogeneous service provisioning for different users, a Value of Service (VoS) metric, adopted to evaluate resource allocation performance per user per unit space, is optimized through a clustering-based resource-sharing strategy. To reduce mutual interference among users, the base station utilizes a clustering process that considers each user’s physical location and service request. In each cluster, we derive an analytical solution for communication resource allocation and use a many-to-many matching-based algorithm for assigning the sensing subchannels. The numerical simulation results demonstrate enhanced resource utilization efficiency of our proposed scheme compared with other benchmarks.