dorsal/arxiv
View SchemaNetwork Integrated Sensing and Communication
| Authors | Edward Andrews, Lawrence Ong, Duy T. Ngo, Yao Liu, Min Li |
|---|---|
| Categories | |
| ArXiv ID | 2601.10538vv1 |
| URL | https://arxiv.org/abs/2601.10538 |
| License | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
Abstract
Integrated sensing and communication (ISAC) is a cornerstone technology for 6G networks, offering unified support for high-rate communication and high-accuracy sensing. While existing literature extensively covers link-level designs, the transition toward large-scale deployment necessitates a fundamental understanding of network-level performance. This paper investigates a network ISAC model where a source node communicates with a destination via a relay network, while intermediate nodes concurrently perform cooperative sensing over specific spatial regions. We formulate a novel optimization framework that captures the interplay between multi-node routing and sensing coverage. For a one-dimensional path network, we provide an analytical characterization of the complete sensing-throughput region. Extending this to general network topologies, we establish that the sensing-throughput Pareto boundary is piecewise linear and provide physical interpretations for each segment. Our results reveal the fundamental trade-offs between sensing coverage and communication routing, offering key insights for the design of future 6G heterogeneous networks.
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"abstract": "Integrated sensing and communication (ISAC) is a cornerstone technology for 6G networks, offering unified support for high-rate communication and high-accuracy sensing. While existing literature extensively covers link-level designs, the transition toward large-scale deployment necessitates a fundamental understanding of network-level performance. This paper investigates a network ISAC model where a source node communicates with a destination via a relay network, while intermediate nodes concurrently perform cooperative sensing over specific spatial regions. We formulate a novel optimization framework that captures the interplay between multi-node routing and sensing coverage. For a one-dimensional path network, we provide an analytical characterization of the complete sensing-throughput region. Extending this to general network topologies, we establish that the sensing-throughput Pareto boundary is piecewise linear and provide physical interpretations for each segment. Our results reveal the fundamental trade-offs between sensing coverage and communication routing, offering key insights for the design of future 6G heterogeneous networks.",
"arxiv_id": "2601.10538",
"authors": [
"Edward Andrews",
"Lawrence Ong",
"Duy T. Ngo",
"Yao Liu",
"Min Li"
],
"categories": [
"cs.IT",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"title": "Network Integrated Sensing and Communication",
"url": "https://arxiv.org/abs/2601.10538",
"version": "v1"
},
"schema_id": "dorsal/arxiv",
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"version": "0.1.0"
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