Enumerative sphere shaping of N-dimensional constellations is discussed. It is proven that a finite-precision number representation is suitable for use in two enumerative indexing algorithms: Enumerative sphere shaping and Divide Conquer (DC) shaping. This representation decreases the storage complexities of these methods significantly. DC is the basis of the well-known shell mapping algorithm and thus our approximations also apply there.</p
The dependency between the Gaussianity of the input distribution for the additive white Gaussian noi...
We introduce a simplified method for calculating the loss function for use in geometric shaping, all...
Probabilistic shaping based on constant composition distribution matching (CCDM) has received consid...
Enumerative sphere shaping of N-dimensional constellations is discussed. It is proven that a finite-...
A constellation shaping scheme is proposed. The motivation is to decrease the required transmit powe...
We review the recent advances in the design of probabilistic shaping algorithms. We investigate the ...
Gaussian channel inputs are required to achieve the capacity of additive white Gaussian noise (AWGN)...
The performance of enumerative sphere shaping (ESS), constant composition distribution matching (CCD...
Practical implementation of enumerative sphere shaping (ESS) is considered. First, an on-the-fly com...
We show that a 0.9 dB SNR improvement can be obtained via short-blocklength enumerative sphere shapi...
The dependency between the Gaussianity of the input distribution for the additive white Gaussian noi...
We introduce a simplified method for calculating the loss function for use in geometric shaping, all...
Probabilistic shaping based on constant composition distribution matching (CCDM) has received consid...
Enumerative sphere shaping of N-dimensional constellations is discussed. It is proven that a finite-...
A constellation shaping scheme is proposed. The motivation is to decrease the required transmit powe...
We review the recent advances in the design of probabilistic shaping algorithms. We investigate the ...
Gaussian channel inputs are required to achieve the capacity of additive white Gaussian noise (AWGN)...
The performance of enumerative sphere shaping (ESS), constant composition distribution matching (CCD...
Practical implementation of enumerative sphere shaping (ESS) is considered. First, an on-the-fly com...
We show that a 0.9 dB SNR improvement can be obtained via short-blocklength enumerative sphere shapi...
The dependency between the Gaussianity of the input distribution for the additive white Gaussian noi...
We introduce a simplified method for calculating the loss function for use in geometric shaping, all...
Probabilistic shaping based on constant composition distribution matching (CCDM) has received consid...