Affine Frequency Division Multiplexing Over Wideband Doubly-Dispersive Channels With Time-Scaling Effects
July 04, 2025 ยท Declared Dead ยท ๐ IEEE Transactions on Wireless Communications
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Xiangxiang Li, Haiyan Wang, Yao Ge, Xiaohong Shen, Yong Liang Guan, Miaowen Wen, Chau Yuen
arXiv ID
2507.03537
Category
cs.PF: Performance
Cross-listed
cs.IT
Citations
5
Venue
IEEE Transactions on Wireless Communications
Last Checked
1 month ago
Abstract
The recently proposed affine frequency division multiplexing (AFDM) modulation has been considered as a promising technology for narrowband doubly-dispersive channels. However, the time-scaling effects, i.e., pulse widening and pulse shortening phenomena, in extreme wideband doubly-dispersive channels have not been considered in the literatures. In this paper, we investigate such wideband transmission and develop an efficient transmission structure with chirp-periodic prefix (CPP) and chirp-periodic suffix (CPS) for AFDM system. We derive the input-output relationship of AFDM system under time-scaled wideband doubly-dispersive channels and demonstrate the sparsity in discrete affine Fourier (DAF) domain equivalent channels. We further optimize the AFDM chirp parameters to accommodate the time-scaling characteristics in wideband doubly-dispersive channels and verify the superiority of the derived chirp parameters by pairwise error probability (PEP) analysis. We also develop an efficient cross domain distributed orthogonal approximate message passing (CD-D-OAMP) algorithm for AFDM symbol detection and analyze its corresponding state evolution. By analyzing the detection complexity of CD-D-OAMP detector and evaluating the error performance of AFDM systems based on simulations, we demonstrate that the AFDM system with our optimized chirp parameters outperforms the existing competitive modulation schemes in time-scaled wideband doubly-dispersive channels. Moreover, our proposed CD-D-OAMP detector can achieve the desirable trade-off between the complexity and performance, while supporting parallel computing to significantly reduce the computational latency.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Performance
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
A General Formula for the Stationary Distribution of the Age of Information and Its Application to Single-Server Queues
R.I.P.
๐ป
Ghosted
AI Benchmark: All About Deep Learning on Smartphones in 2019
R.I.P.
๐ป
Ghosted
BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning
R.I.P.
๐ป
Ghosted
Online normalizer calculation for softmax
R.I.P.
๐ป
Ghosted
CLTune: A Generic Auto-Tuner for OpenCL Kernels
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted