Low Complexity Fourier Transform Based Fast Detection Scheme for Massive MIMO

Massive MIMO (m-MIMO) is crucial for 5G and beyond 5G/6G V2X (vehicle-to-everything) communications due to its ability to cancel interference and enhance performance. However, V2X communication requires fast and low-complexity operations, presenting a challenge in computational complexity. To tackle this issue, this paper introduces a low-complexity Fast Fourier Transform (FFT) based Zero Forcing (FTZF) detector for m-MIMO systems. By using FFT, the need to compute and invert the Gram matrix directly is eliminated. Simulation results show the proposed detector achieving near-ZF Bit Error Rate (BER) compared to other iterative detectors with comparatively lesser complexity. The BER converges to the ZF detector in fewer iterations compared to the other detectors, outperforming them in both performance and complexity.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-03-11
DOI
https://doi.org/10.1109/tvt.2025.3550342
Citations
1
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
4.99
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article

Low Complexity Fourier Transform Based Fast Detection Scheme for Massive MIMO

Mohammed Zafar Ali Khan, Rubeena Aafreen
1 citations
IEEE Transactions on Vehicular Technology
Antenna Design and Optimization
4.99
article

Low Complexity Fourier Transform Based Fast Detection Scheme for Massive MIMO

Mohammed Zafar Ali Khan, Rubeena Aafreen
article en
1 citations

Abstract

Massive MIMO (m-MIMO) is crucial for 5G and beyond 5G/6G V2X (vehicle-to-everything) communications due to its ability to cancel interference and enhance performance. However, V2X communication requires fast and low-complexity operations, presenting a challenge in computational complexity. To tackle this issue, this paper introduces a low-complexity Fast Fourier Transform (FFT) based Zero Forcing (FTZF) detector for m-MIMO systems. By using FFT, the need to compute and invert the Gram matrix directly is eliminated. Simulation results show the proposed detector achieving near-ZF Bit Error Rate (BER) compared to other iterative detectors with comparatively lesser complexity. The BER converges to the ZF detector in fewer iterations compared to the other detectors, outperforming them in both performance and complexity.

IEEE Transactions on Vehicular TechnologyVol. 74(8)
Indian Institute of Technology Hyderabad (IN)
Openalex Percentile: Top 7%
Antenna Design and Optimization
4.99
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Low Complexity Fourier Transform Based Fast Detection Scheme for Massive MIMO — Mohammed Zafar Ali Khan, Rubeena Aafreen · IEEE Transactions on Vehicular Technology (2025) | TGRS Research Map | TGRS