Partial enumerative sphere shaping

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Samenvatting

The dependency between the Gaussianity of the input distribution for the additive white Gaussian noise (AWGN) channel and the gap-to-capacity is discussed. We show that a set of particular approximations to the Maxwell- Boltzmann (MB) distribution virtually closes most of the shaping gap. We relate these symbol-level distributions to bit-level distributions, and demonstrate that they correspond to keeping some of the amplitude bit-levels uniform and independent of the others. Then we propose partial enumerative sphere shaping (P-ESS) to realize such distributions in the probabilistic amplitude shaping (PAS) framework. Simulations over the AWGN channel exhibit that shaping 2 amplitude bits of 16-ASK have almost the same performance as shaping 3 bits, which is 1.3 dB more power- efficient than uniform signaling at a rate of 3 bit/symbol. In this way, required storage and computational complexity of shaping are reduced by factors of 6 and 3, respectively.

Originele taal-2Engels
Titel2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie978-1-7281-1220-6
DOI's
StatusGepubliceerd - sep 2019
Evenement2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) - Honolulu, Verenigde Staten van Amerika
Duur: 22 sep 201925 sep 2019

Congres

Congres2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
Verkorte titelVTC2019-Fall
LandVerenigde Staten van Amerika
StadHonolulu
Periode22/09/1925/09/19

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Citeer dit

Gultekin, Y., van Houtum, W., Koppelaar, A. G. C., & Willems, F. (2019). Partial enumerative sphere shaping. In 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings [8891195] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VTCFall.2019.8891195