Theoretical Analysis of Diffusion Models for Radio Map Estimation with Ultra-low Sampling Rates
2026-06-25T08:51:43Z•0a13384cc9c978981b78a16d79d896bacdf508b123515967bd70fda3c7946db4
AFDMCSI-CLIP++ChannelGPTGNSSISACMIMORice characteristic function method","jamming","networked\u002d\acoustic-RF (TARF)channel characterizationchannel foundation modelcoherent receiverscontrastive learningdeep learningdiffusion modelsdigital back-propagationinertial navigationmassive MIMOmisspecified CRBmulticast subgroupingnon-linear matrix completionpower amplifier nonlinearityradio-map estimationterahertz communicationsultra-low samplingvehicular channel prediction
What happened
Collection of arXiv eess/sp papers (June 25, 2026) covering theoretical and applied advances in wireless/communications and signal processing. Key contributions include: theoretical error bounds for diffusion-model-based radio-map estimation under ultra-low sampling and a derived critical sampling-rate threshold; 1-THz full-field digital back-propagation over 3000 km using stitched coherent receivers; MCRB/MSE analyses for AFDM-ISAC parameter estimation under model misspecification; a first-order attitude-error propagation model for GNSS-aided sliding-window velocity-integral OBA; empirical AM
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 0a13384cc9c978981b78a16d79d896bacdf508b123515967bd70fda3c7946db4
- Enrichment time
- 2026-06-25T08:51:43Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.