Babai-guided Interference-aware Adaptive QRD-M Detection in MIMO-OFDM Communication Systems

Authors

  • Mar Mar Lwin Universiti Sains Malaysia, Nibong Tebal, Malaysia https://orcid.org/0009-0009-3920-5197
  • Mohd Fadzli Mohd Salleh Universiti Sains Malaysia, Nibong Tebal, Malaysia

DOI:

https://doi.org/10.26636/jtit.2025.4.2290

Keywords:

LLL lattice reduction, MIMO-OFDM systems, QRD-M detection

Abstract

This paper presents an adaptive QRD-M detection algorithm designed to reduce the computational complexity of MIMO systems while maintaining near-maximum likelihood detection (near-MLD) performance. The proposed method introduces a dynamic threshold mechanism based on a breadth-first tree search, where pruning is guided by both symbol reliability and interlayer interference derived from the upper-triangular structure of the QR-decomposed channel matrix. The threshold is further refined using a Babai estimate obtained from Lenstra-Lenstra-Lovász (LLL) lattice reduction, allowing the algorithm to adaptively adjust the candidate set at each detection stage. The simulation results across 4 × 4 and 8 × 8 MIMO systems using 16-QAM and 64-QAM modulation schemes demonstrate that the proposed Babai-guided interference-aware adaptive QRD-M (BIA-QRD-M) algorithm achieves near-MLD performance. The proposed method achieves a reduction of up to 49% in the average number of branch metric computations at high SNR and an approximately 29% reduction over the entire 0-25 dB SNR range, compared to conventional QRD-M in an 8 × 8 MIMO-OFDM system with 16-QAM modulation.

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Cover page issue 4/2025

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Published

2025-12-31

Issue

Vol. 102 No. 4 (2025)

Section

ARTICLES FROM THIS ISSUE

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Copyright (c) 2025 Mar Mar Lwin, Mohd Fadzli Mohd Salleh

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. M. Lwin and M. F. Mohd Salleh, “Babai-guided Interference-aware Adaptive QRD-M Detection in MIMO-OFDM Communication Systems”, JTIT, vol. 102, no. 4, pp. 61–68, Dec. 2025, doi: 10.26636/jtit.2025.4.2290.