TY - GEN
T1 - Doppler-Resilient LEO Satellite OFDM Transmission with Affine Frequency Domain Pilot
AU - Tang, Shuntian
AU - Wu, Xiaomei
AU - Wang, Xinyi
AU - Zhao, Le
AU - Yang, Guang
AU - Liu, Zilong
AU - Liu, Fan
AU - Fei, Zesong
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Orthogonal frequency division multiplexing (OFDM) based low Earth orbit (LEO) satellite communication system suffers from severe Doppler shifts, while the Doppler-resilient affine frequency-division multiplexing (AFDM) transmission suffers from significantly high processing complexity in data detection. In this paper, we explore the channel estimation gain of affine frequency (AF) domain pilot to enhance the OFDM transmission under high mobility. Specifically, we propose a novel AF domain pilot embedding scheme for satellite-ground downlink OFDM systems for capturing the channel characteristics. By exploiting the autoregressive (AR) property of adjacent channels, a long short-term memory (LSTM) based predictor is designed to replace conventional interpolation operation in OFDM channel estimation. Simulation results show that the proposed transmission scheme significantly outperforms conventional OFDM scheme in terms of bit error rate (BER) under high Doppler scenarios, thus paving a new way for the design of next generation non-terrestrial network (NTN) communication systems.
AB - Orthogonal frequency division multiplexing (OFDM) based low Earth orbit (LEO) satellite communication system suffers from severe Doppler shifts, while the Doppler-resilient affine frequency-division multiplexing (AFDM) transmission suffers from significantly high processing complexity in data detection. In this paper, we explore the channel estimation gain of affine frequency (AF) domain pilot to enhance the OFDM transmission under high mobility. Specifically, we propose a novel AF domain pilot embedding scheme for satellite-ground downlink OFDM systems for capturing the channel characteristics. By exploiting the autoregressive (AR) property of adjacent channels, a long short-term memory (LSTM) based predictor is designed to replace conventional interpolation operation in OFDM channel estimation. Simulation results show that the proposed transmission scheme significantly outperforms conventional OFDM scheme in terms of bit error rate (BER) under high Doppler scenarios, thus paving a new way for the design of next generation non-terrestrial network (NTN) communication systems.
KW - Affine frequency domain processing
KW - channel prediction
KW - long short term memory (LSTM)
KW - low Earth orbit (LEO)
KW - non-terrestrial network (NTN)
UR - https://www.scopus.com/pages/publications/105045601869
U2 - 10.1109/ICCWorkshops63917.2026.11586457
DO - 10.1109/ICCWorkshops63917.2026.11586457
M3 - Conference contribution
AN - SCOPUS:105045601869
T3 - 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings
BT - 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE International Conference on Communications Workshops, ICC Workshops 2026
Y2 - 24 May 2026 through 28 May 2026
ER -