RIS-Assisted Joint Resource Allocation for 6G FR3 IoT Networks
2026-04-06T08:51:43Z•a55875658e6b76ac78618127604f3c32ccc2159ba4433671c6c8b4925d51c75a
6GCSI robustnessECG foundation modelsFR3 bandISACIoTMIMO OFDMRISSDRStackelberg prediction gamesUAV surveillanceactive RISadversarial MLanti-jammingbackscatter communicationsbeamformingcovert communicationsedge inferencemedical AImedical LLMsmutual couplingnull-formingprivacyreconfigurable intelligent surfacetime‑Floquet RIS
What happened
This collection of recent signal-processing and communications papers covers RIS-assisted 6G FR3 IoT resource allocation, self‑calibrating SDRs for high-fidelity beam- and null-forming (anti‑jamming/covert comms), ECG foundation models and medical LLMs for on‑device cardiovascular intelligence, SBL algorithm unification and learned update rules, sensitivity and robust optimization of active RIS under CSI errors, efficient solvers for Stackelberg prediction games (adversarial data manipulation), MIMO‑OFDM ISAC for non‑cooperative UAV surveillance, spherical antenna arrays, sensor‑based HAR and
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- a55875658e6b76ac78618127604f3c32ccc2159ba4433671c6c8b4925d51c75a
- Enrichment time
- 2026-04-06T08:51:43Z
- AI-assisted enrichment
- Yes
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