For Gaussian channels with peak and average power constraints the optimal modulation (OM) schemes are known to have nonuniform probability distributions over the signal points. An established way to obtain these distributions is assigning different number of bits to different constellation points. However, this method leads to challenges in demodulation as if a symbol is identified falsely, due to the different bit lengths of symbols, bit insertions or deletions may occur which may in return cause error propagation. Hence, the difficulty of realizing the channel optimal distributions on constellation signals impeded OM from becoming widely utilized in communication systems. In this thesis, we propose a practical system for OM that uses only...
Non-circular or improper Gaussian signaling has proven beneficial in several interference-limited wi...
In this paper, modulation classification and symbol decoding problems are jointly considered and opt...
In this paper we address hybrid probabilistic-geometric constellation shaping (HCS) of amplitude pha...
Guessing random additive noise decoding (GRAND) is a noise-centric decoding method, which is suitabl...
Guessing random additive noise decoding (GRAND) is a noise-centric decoding method, which is suitabl...
Abstract—The capacity achieving probability mass function (PMF) of a finite signal constellation wit...
We investigate methods for power and bandwidth efcient communication. The approach we consider is ba...
We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in discrete channels wit...
We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in discrete channels wit...
We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in discrete channels wit...
In this study the authors derive a formula to compute the optimal signal constellation, bit error pr...
In this study the authors derive a formula to compute the optimal signal constellation, bit error pr...
Maximum likelihood (ML) based modulation detector provides the optimal performance in the sense that...
Probabilistic amplitude shaping (PAS) is a coded modulation strategy in which constellation shaping ...
Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate...
Non-circular or improper Gaussian signaling has proven beneficial in several interference-limited wi...
In this paper, modulation classification and symbol decoding problems are jointly considered and opt...
In this paper we address hybrid probabilistic-geometric constellation shaping (HCS) of amplitude pha...
Guessing random additive noise decoding (GRAND) is a noise-centric decoding method, which is suitabl...
Guessing random additive noise decoding (GRAND) is a noise-centric decoding method, which is suitabl...
Abstract—The capacity achieving probability mass function (PMF) of a finite signal constellation wit...
We investigate methods for power and bandwidth efcient communication. The approach we consider is ba...
We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in discrete channels wit...
We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in discrete channels wit...
We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in discrete channels wit...
In this study the authors derive a formula to compute the optimal signal constellation, bit error pr...
In this study the authors derive a formula to compute the optimal signal constellation, bit error pr...
Maximum likelihood (ML) based modulation detector provides the optimal performance in the sense that...
Probabilistic amplitude shaping (PAS) is a coded modulation strategy in which constellation shaping ...
Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate...
Non-circular or improper Gaussian signaling has proven beneficial in several interference-limited wi...
In this paper, modulation classification and symbol decoding problems are jointly considered and opt...
In this paper we address hybrid probabilistic-geometric constellation shaping (HCS) of amplitude pha...