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- Publisher Website: 10.1109/LWC.2023.3245728
- Scopus: eid_2-s2.0-85149396338
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Article: UAV-Enabled Integrated Sensing, Computing, and Communication: A Fundamental Trade-Off
Title | UAV-Enabled Integrated Sensing, Computing, and Communication: A Fundamental Trade-Off |
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Authors | |
Keywords | and communication (ISCC) computing Integrated sensing trajectory optimization UAV |
Issue Date | 2023 |
Citation | IEEE Wireless Communications Letters, 2023, v. 12, n. 5, p. 843-847 How to Cite? |
Abstract | We propose an unmanned aerial vehicle (UAV) enabled integrated sensing, computing, and communication (U-ISCC) framework, where a treble-functional UAV performs local computation and also delivers its computational tasks to ground access points. Meanwhile, this UAV is employed to sense a target by using the unified beam waves. Our goal is to characterize the Pareto boundary between the computation capacity and the sensing beampattern gain, by which the fundamental trade-off of them is unveiled. To solve the challenging problem, we propose a joint optimization algorithm by applying the semidefinite programming method and the concave-convex procedure technique, which ensures the rank-1 constraint with a low complexity. Numerical results finally verify that the proposed algorithm explicitly depicts the performance region, and demonstrate that the UAV boosts the ability of sensing, computing, and communication to strike a balance by fully exploring its functions. |
Persistent Identifier | http://hdl.handle.net/10722/349877 |
ISSN | 2023 Impact Factor: 4.6 2023 SCImago Journal Rankings: 2.872 |
DC Field | Value | Language |
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dc.contributor.author | Xu, Yu | - |
dc.contributor.author | Zhang, Tiankui | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Yang, Dingcheng | - |
dc.date.accessioned | 2024-10-17T07:01:34Z | - |
dc.date.available | 2024-10-17T07:01:34Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | IEEE Wireless Communications Letters, 2023, v. 12, n. 5, p. 843-847 | - |
dc.identifier.issn | 2162-2337 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349877 | - |
dc.description.abstract | We propose an unmanned aerial vehicle (UAV) enabled integrated sensing, computing, and communication (U-ISCC) framework, where a treble-functional UAV performs local computation and also delivers its computational tasks to ground access points. Meanwhile, this UAV is employed to sense a target by using the unified beam waves. Our goal is to characterize the Pareto boundary between the computation capacity and the sensing beampattern gain, by which the fundamental trade-off of them is unveiled. To solve the challenging problem, we propose a joint optimization algorithm by applying the semidefinite programming method and the concave-convex procedure technique, which ensures the rank-1 constraint with a low complexity. Numerical results finally verify that the proposed algorithm explicitly depicts the performance region, and demonstrate that the UAV boosts the ability of sensing, computing, and communication to strike a balance by fully exploring its functions. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Wireless Communications Letters | - |
dc.subject | and communication (ISCC) | - |
dc.subject | computing | - |
dc.subject | Integrated sensing | - |
dc.subject | trajectory optimization | - |
dc.subject | UAV | - |
dc.title | UAV-Enabled Integrated Sensing, Computing, and Communication: A Fundamental Trade-Off | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/LWC.2023.3245728 | - |
dc.identifier.scopus | eid_2-s2.0-85149396338 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 843 | - |
dc.identifier.epage | 847 | - |
dc.identifier.eissn | 2162-2345 | - |