Oversampled IFDM: Low-Complexity Detection with Bayes-Optimal Performance
Year: 2026
Type: conference-paper
Abstract: Rapidly evolving high-mobility communication applications require low-complexity, reliable, and high-rate data transmission. However, practical transceiver filters cause out-of-band leakage, limiting the performance of emerging multicarrier systems. To address this issue, this paper investigates the oversampled interleave frequency division multiplexing (IFDM) systems. Specifically, by exploiting the randomness of the IFDM modulation matrix, the equivalent channel preserves right-unitary invariance, effectively eliminating correlation among oversampled channels. Meanwhile, a low-complexity oversampled cross-domain memory approximate message passing (OS-CD-MAMP) detector is proposed, which effectively mitigates correlation among oversampled noise, fully exploits the sparsity of the time-domain channel, and whose performance is accurately predicted by state evolution analysis. Numerical results show that the proposed scheme significantly outperforms existing multicarrier schemes with extremely low complexity, achieving Bayes-optimal performance.
Authors: Zheng Shen, Yuhao Chi, Lei Liu, Yao Ge, Jie Guo, Min Sheng
Language: English
Topic: PAPR reduction in OFDM
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204193991