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Communication Dans Un Congrès Année : 2021

Compression of Clipped OFDM IQ Samples for Cloud Radio Access Network

Résumé

In this paper, we analyze the impact of reducing the Peak to Average Power Ratio (PAPR) of a time domain Orthogonal Frequency Division Multiplexing (OFDM) signal before its compression, as required for the transmission of IQ samples in a Centralized Radio Access Network architecture. The analysis is performed considering a clipping function for PAPR reduction. First, the distribution of the clipped OFDM IQ samples is obtained which in turn allows to derive the threshold and codebook levels of a non-uniform quantizer optimized for clipped IQ samples and the number of representation bits for each quantized levels in the entropy coding stage. Then, we provide a closed-form expression for the Modulation Error Ratio of the compressed and clipped OFDM signal. The simulation results show that the Gaussian quantizer applied to a clipped signal is not quite robust compared to a quantizer that has been optimized w.r.t. the distribution of clipped IQ samples, especially in the low-rate quantization region.
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Dates et versions

hal-03475354 , version 1 (07-12-2021)
hal-03475354 , version 2 (10-12-2021)

Identifiants

  • HAL Id : hal-03475354 , version 2

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Aya Shehata, Philippe Mary, Matthieu Crussière. Compression of Clipped OFDM IQ Samples for Cloud Radio Access Network. 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep 2021, Helsinki, Finland. ⟨hal-03475354v2⟩
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