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Computational complexity reduction of GreenOFDM

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Abstract

The GreenOFDM technique is a new SeLected Mapping Orthogonal Frequency Division Multiplexing (SLM-OFDM) scheme where the same Peak-to-Average Power Ratio (PAPR) reduction is attained at a reduced number of computed IFFTs. Indeed, for the same performance the SLM-OFDM requires computing U IFFTs while the GreenOFDM requires only \(2\sqrt {U}\). In this paper, a method specific to the GreenOFDM to further reduce its computational complexity is presented. The results are presented through the probabilistic distributions of the number of computed IFFTs and the total number of operations. The methods being probabilistic, a solution to deal with the induced latency is proposed in order to guarantee real-time operation of the transmitter. Finally, the digital power consumption of the proposed method is proven to be negligible as compared with the High Power Amplifier (HPA) power consumption when implemented in a dedicated processor.

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Notes

  1. It is noteworthy that the CCDF(PAPR) is changed by the imposed γth (i.e. CCDF(PAPR)= p pass by γth and not by γp).

  2. Note that here the normalization factor \(\sqrt {2}\) and \(\mathbb {E}\{|x_{g_{1},g_{2}}(t_{n})|^{2}\}\) can be bypassed if included into the threshold.

  3. The ϱ is also a random variable since it is related to the PAPR.

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Correspondence to Jorge L. Gulfo Monsalve.

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Gulfo Monsalve, J.L., Mestdagh, D.J.G. & Brossier, JM. Computational complexity reduction of GreenOFDM. Ann. Telecommun. 75, 185–191 (2020). https://doi.org/10.1007/s12243-019-00738-2

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  • DOI: https://doi.org/10.1007/s12243-019-00738-2

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