Optimal data detection for OFDM system with low-resolution quantization

H Wang, T Liu, CK Wen, S Jin - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
2016 IEEE International Conference on Communication Systems (ICCS), 2016ieeexplore.ieee.org
The use of low-resolution analog-to-digital converters (ADCs)(ie, 1-3 bits) in a receiver
effectively decreases power consumption and system costs, especially for millimeter-wave
wireless systems. However, the orthogonality among subcarriers in the orthogonal
frequency division multiplexing (OFDM) system cannot be maintained because of the severe
nonlinearity of a low-resolution ADC. This paper proposes the optimal data detection
algorithm for this quantized OFDM system. Simulation results demonstrate that the proposed …
The use of low-resolution analog-to-digital converters (ADCs) (i.e., 1-3 bits) in a receiver effectively decreases power consumption and system costs, especially for millimeter-wave wireless systems. However, the orthogonality among subcarriers in the orthogonal frequency division multiplexing (OFDM) system cannot be maintained because of the severe nonlinearity of a low-resolution ADC. This paper proposes the optimal data detection algorithm for this quantized OFDM system. Simulation results demonstrate that the proposed algorithm, which entails acceptable performance loss compared to the infinite-precision case, significantly outperforms the conventional OFDM receiver in terms of symbol error rate.
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