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.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-06-02
DOI
https://doi.org/10.1109/twc.2025.3573209
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Biwei Li, Xianbin Wang
IEEE Transactions on Wireless Communications
Distributed and Parallel Computing Systems
article

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

Biwei Li, Xianbin Wang
article en

Abstract

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.

IEEE Transactions on Wireless CommunicationsVol. 24(11)
Western University (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 87%
Distributed and Parallel Computing Systems
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