Abstract
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.
Original language | English |
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Title of host publication | 2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 6 |
ISBN (Electronic) | 978-1-7281-1220-6 |
DOIs | |
Publication status | Published - Sep 2019 |
Event | 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) - Honolulu, United States Duration: 22 Sep 2019 → 25 Sep 2019 |
Conference
Conference | 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) |
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Abbreviated title | VTC2019-Fall |
Country | United States |
City | Honolulu |
Period | 22/09/19 → 25/09/19 |