5 papers
Learning-Aided Short Code Design for ISAC based on MIMO-OFDM
Mingcheng Nie, Shuangyang Li, Geng Wang +5
This paper proposes a deep learning (DL)-based coded waveform design for integrated sensing and communications (ISAC), enabling flexible trade-offs between communication reliabilit…
Channel Estimation for OFDM via Delay-Doppler Refinement
Mingcheng Nie, Hao Chang, Xiaoqi Zhang +4
In this paper, we propose a novel channel estimation (CE) algorithm for orthogonal frequency division multiplexing (OFDM) systems that exploits the unique characteristics of the de…
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…
A Novel Cross-Domain Channel Estimation Scheme for OFDM
Mingcheng Nie, Ruoxi Chong, Shuangyang Li +5
In this paper, we propose a novel cross-domain channel estimation (CDCE) algorithm for orthogonal frequency division multiplexing (OFDM) systems, leveraging the unique characterist…
Towards Standardizing OTFS: A Candidate Waveform for Next-Generation Wireless Networks
Mingcheng Nie, Ruoxi Chong, Shuangyang Li +5
The standardization of the sixth-generation (6G) has recently commenced to address the rapidly growing demands for enhanced wireless network services. Nevertheless, existing wirele…