arXiv (All)
open access
Data-Aided Asynchronous OFDM Integrated Sensing and Communications: A Mean-Field Variational Bayes Approach
Integrated sensing and communication (ISAC) is regarded as a key technology for sixth-generation wireless networks, allowing sensing and communication operations to jointly utilize the same spectrum and hardware infrastructure. However, in practical uplink ISAC systems, timing offset (TO) and carrie
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining#131314
- Integrated Sensing and Communication System Based on Radio Frequency Resonance Beam#1037696
- Precision spectral estimation at sub-Hz frequencies: closed-form posteriors and Bayesian noise projection#144332
- Noisy-Channel Minimum Bayes Risk Decoding#343487
- Inverse of a Sum of Random Matrices: A Dynamical Mean-Field Approach#1035108
Record · ID 973360
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive