6 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…
Iterative Semantic Decoding for Short Block Codes
Jiafu Hao, Chentao Yue, Mingcheng Nie +2
This paper proposes an iteratively enhanced semantic receiver for natural-language text transmission over noisy wireless channels using multiple short block codes. At the transmitt…
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…