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.
{
"annotation_id": "c16c7396-ba1b-4b71-9405-15544f3cab56",
"date_created": "2026-02-17T05:53:24.055000Z",
"date_modified": "2026-02-17T05:53:24.055000Z",
"file_hash": "490c53967919554980453fda36472a7288dfafd758edaad4e07f7c5b28d4b6e1",
"private": false,
"record": {
"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",
"source": {
"execution_id": "b070565e-30af-4312-b171-0a4df2f39580",
"id": "arXiv Dataset",
"type": "Model",
"variant": "snapshot-2026-01-17",
"version": "0.1.0"
},
"user_id": 1000002
}