5 papers
Neural Network-Based Delay-Doppler-Assisted Channel Estimation for OFDM
Mingcheng Nie, Hao Chang, Shuangyang Li +3
Conventional orthogonal frequency division multiplexing (OFDM) channel estimation relies on single-tap estimation and time-frequency (TF) interpolation, which becomes unreliable in…
AFDM-FTN: A Spectrally Efficient Waveform for High-Mobility Communications
Xianle Dai, Qu Luo, Jianguo Li +4
This paper proposes an affine frequency division multiplexing (AFDM)-aided faster-than-Nyquist (FTN) waveform, termed AFDM-FTN, to enhance spectral efficiency (SE) in high-mobility…
Auto-correlation Function Keying
Weijiang Zhao, Yifeng Xiong, Fan Liu +3
We propose ACFK: Auto-correlation Function Keying, a new integrated sensing and communication (ISAC) waveform that carries random communication data while directly controlling the…
Pushing the Limits: Unlocking the Potential of Faster-than-Nyquist Signaling
Zichao Zhang, Melda Yuksel, Shuangyang Li +2
Faster-than-Nyquist (FTN) signaling is gaining attention as a smart way to pack more data into limited spectrum by intentionally breaking the traditional symbol-spacing rules. This…
Rethinking Next-Generation Signal Waveform: Integration of Orthogonality and Non-Orthogonality
Tongyang Xu, Shuangyang Li, Zhongxiang Wei +2
As 6G communications advance, the demand for new services and capabilities, as defined by the international telecommunication union (ITU), is increasing. A crucial aspect of 6G adv…