An Elastic Service Provisioning Mechanism for Integrated Sensing, Positioning, and Communication
Jie Chen, Xianbin Wang · 2025
Conventional wireless communication techniques and performance indicators are becoming inadequate for the designs of integrated sensing, positioning, and communication (ISPAC) systems, due to their inability to balance diverse competing demands from concurrent heterogeneous services under constrained resources. In this paper, we overcome these challenges with two new elastic design strategies: compromised service value assessment and flexible multi-dimensional service multiplexing. Accordingly, we propose an elastic value-prioritized service provisioning based on multi-dimensional multiple access (MDMA) for ISPAC systems. First, we modify our previous value-of-service (VoS) metric by incorporating elastic parameters to capture user-specific tolerance and compromise in response to various performance degradations under constrained resources. The modified VoS metric can serve as a foundation for prioritizing service and enabling effective service provisioning among competing services. Then, we adapt the MDMA to elastically multiplex services using appropriate multiple access schemes across various resource domains. This protocol leverages user-specific interference tolerances and cancellation capabilities across different resource domains to reduce resource-demanding conflicts and co-channel interference within the same domain. Finally, we formulate a system VoS maximization problem by jointly optimizing the MDMA design and power allocation, and then propose a sub-optimal algorithm to solve it efficiently.