English

Code-Aided Channel Estimation in LDPC-Coded MIMO Systems

Information Theory 2023-11-14 v1 math.IT

Abstract

For a multiple-input multiple-output (MIMO) system with unknown channel state information (CSI), a novel low-density parity check (LDPC)-coded transmission (LCT) scheme with joint pilot and data channel estimation is proposed. To fine-tune the CSI, a method based on the constraints introduced by the coded data from an LDPC code is designed such that the MIMO detector exploits the fine-tuned CSI. For reducing the computational burden, a coordinate ascent algorithm is employed along with several approximation methods, effectively reducing the required times of MIMO detection and computational complexity to achieve a satisfying performance. Simulation results utilizing WiMAX standard LDPC codes and quadrature phase-shift keying (QPSK) modulation demonstrate gains of up to 1.3 dB at a frame error rate (FER) of 10410^{-4} compared to pilot-assisted transmission (PAT) over Rayleigh block-fading channels.

Keywords

Cite

@article{arxiv.2311.07091,
  title  = {Code-Aided Channel Estimation in LDPC-Coded MIMO Systems},
  author = {Binghui Shi and Yongpeng Wu and Peihong Yuan and Derrick Wing Kwan Ng and Xiang-Gen Xia and Wenjun Zhang},
  journal= {arXiv preprint arXiv:2311.07091},
  year   = {2023}
}

Comments

This paper has been accepted by IEEE Wireless Communications Letters