Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks

2026-04-02T08:51:43Zd49f5c638cd8b4754ef64d52854bd07e736d2de0a77050d26f92d3ee5668c1d3
3GPP6G-imagingISACIsing-machineRF-signal-processingRISUAV-securityVAEadversarial-MLdatasetjamming-planninglocalizationoffline-RLprivacy-surveillancequantum-annealingradio-mapsreconfigurable-intelligent-surfacerepresentation-learningsignal-separationspectrum-monitoringwireless-security

What happened

This collection of papers presents advances in wireless communications, sensing, and learning that have dual-use security implications. Highlights: RFSS — a publicly released 103 GB 3GPP-compliant multi-source RF signal separation dataset (GSM/UMTS/LTE/5G NR) with benchmarks, which can accelerate development of powerful source-separation and interception tools; 6G BI-SAR/BI-ISAR imaging methods that perform high-resolution imaging using Doppler-only processing (privacy/surveillance risk); multiple ISAC, antenna and RIS advances (SWAN pinching-antenna CRLB optimization, scalable fluid-antenna S

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_eess_sp
Record identifier
d49f5c638cd8b4754ef64d52854bd07e736d2de0a77050d26f92d3ee5668c1d3
Enrichment time
2026-04-02T08:51:43Z
AI-assisted enrichment
Yes

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