G. Basbous1, A.V. Rashich2

1,2 Peter the Great St. Petersburg Polytechnic University (St. Petersburg, Russia)

1 ghena.basbous@gmail.com; 2 andrey.rashich@gmail.com

MIMO technology (multiple-input multiple-output) is recognized as a major technology in high-performance wireless systems. However, the complexity of a high throughput MIMO receiver poses a significant implementation issue. This paper proposes a MIMO demodulating schema based on the mathematical concept of QR-decomposition, that is able to achieve a quasi-optimal Bit-Error Rate (BER) performance while requiring a polynomial computational effort of the same order as Linear demodulators. The proposed algorithm offers a flexible trade-off between arithmetic complexity and noise immunity by fine-tuning the algorithm parameters to meet the desired characteristics. The computational complexity of the proposed algorithm in terms of floating-point operation (FLOPs), as well as the simulation results of BER performance, are demonstrated in multiple MIMO scenarios and compared with other conventional demodulators via MATLAB. According to the simulation, the proposed algorithm can achieve a quasi-optimal BER with less than 0.5 dB loss while requiring a computational complexity that is cubically proportional to the number of transmit antennas.

Basbous G., Rashich A.V. Low-complexity list MIMO demodulator with quasi-optimal error rate performance. Radiotekhnika. 2024. V. 88. № 3. P. 102−110. DOI: https://doi.org/10.18127/j00338486-202403-10 (In Russian)

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