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Study of Iterative Detection and Decoding for {Mixed Near- and Far-Field} XL-MIMO Systems

  • Nayyab Haider
  • Rodrigo C. de Lamare
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Abstract

Extra-large multiple-input multiple-output (XL-MIMO) systems {serving users across near-field and far-field regions} experience spherical wavefront propagation that provides enhanced spatial resolution over traditional far-field systems. In this work, we propose a novel weighted rate (WR) ordering-based successive interference cancellation (SIC) scheme that exploits the spatial degrees of freedom inherent in near-field propagation. We also develop an iterative detection and decoding (IDD) framework that integrates the proposed WR ordering with low-density parity-check (LDPC) coding and channel estimation. We then analyze the information rates and the impact of near-field channel characteristics. Numerical results show that the proposed WR-SIC and the IDD scheme outperform existing approaches.

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Cite

BibTeXRIS
BibTeX
@misc{haider2026study,
  title = {{Study of Iterative Detection and Decoding for Mixed Near- and Far-Field XL-MIMO Systems}},
  author = {Nayyab Haider and Rodrigo C. de Lamare},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.30129},
  eprint = {2609.30129},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.30129},
}
RIS
TY  - UNPB
TI  - Study of Iterative Detection and Decoding for {Mixed Near- and Far-Field} XL-MIMO Systems
AU  - Nayyab Haider
AU  - Rodrigo C. de Lamare
PY  - 2026
DA  - 2026/09/24
PB  - arXiv
DO  - 10.48550/arxiv.2609.30129
UR  - https://arxiv.org/abs/2609.30129
AB  - Extra-large multiple-input multiple-output (XL-MIMO) systems {serving users across near-field and far-field regions} experience spherical wavefront propagation that provides enhanced spatial resolution over traditional far-field systems. In this work, we propose a novel weighted rate (WR) ordering-based successive interference cancellation (SIC) scheme that exploits the spatial degrees of freedom inherent in near-field propagation. We also develop an iterative detection and decoding (IDD) framework that integrates the proposed WR ordering with low-density parity-check (LDPC) coding and channel estimation. We then analyze the information rates and the impact of near-field channel characteristics. Numerical results show that the proposed WR-SIC and the IDD scheme outperform existing approaches.
ER  -