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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Partial Enumerative Sphere Shaping


    Contributors:


    Publication date :

    2019-09-01


    Size :

    229187 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    On enumerative equivalence of group elements

    Golomb, S. W. / Hales, A. W. | NTRS | 1968




    Effects Of Collisions Upon A Partial Dyson Sphere

    DeBiase, Robert L. | Online Contents | 2008