Abstract
High-mobility and LEO satellite channels cause severe Doppler dispersion that degrades OFDM performance. Affine frequency division multiplexing (AFDM) mitigates this effect with an efficient chirp-based design. To further lower receiver complexity, this paper introduces a variational Bayesian (VB) detector using mean-field factorization and coordinate-ascent updates, eliminating matrix inversion. The proposed method achieves fast, low-complexity soft detection with superior BER for next-generation LEO systems.
| Original language | English |
|---|---|
| Title of host publication | 2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331596736 |
| DOIs | |
| Publication status | Published - 2026 |
| Event | 23rd IEEE Consumer Communications and Networking Conference, CCNC 2026 - Las Vegas, United States Duration: 2026 Jan 9 → 2026 Jan 12 |
Publication series
| Name | Proceedings - IEEE Consumer Communications and Networking Conference, CCNC |
|---|---|
| ISSN (Print) | 2331-9860 |
Conference
| Conference | 23rd IEEE Consumer Communications and Networking Conference, CCNC 2026 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 26/1/9 → 26/1/12 |
Bibliographical note
Publisher Copyright:© 2026 IEEE.
Keywords
- AFDM
- high mobility
- low complexity
- variational inference
- VB detection
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Artificial Intelligence
- Electrical and Electronic Engineering
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