RSMA-Enabled ISAC Networks with Fluid Antenna Systems: Stochastic Geometry Analysis and Low-Complexity Resource Allocation
arXiv 2608.12517•b6bf298bcec76bc3c74f0e2ca346b784398dc5f3e57727ec419b0a5e8399711b
6GISACantenna optimizationbeamformingdigital twinselectromagnetic modelingfluid antenna systemsintegrated sensing and communicationslearned receiversmachine learningmeta-learningmovable antennasphysical-layer securityradarsensing privacywireless communications
Paper metadata
- arXiv ID
- 2608.12517
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- b6bf298bcec76bc3c74f0e2ca346b784398dc5f3e57727ec419b0a5e8399711b
- Enrichment time
- 2026-08-14T08:51:34Z
- AI-assisted enrichment
- Yes
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