Reinforcement Learning-Aided Markov Chain Monte Carlo For Lattice Gaussian Sampling

Sampling from the lattice Gaussian distribution has emerged as a key problem in coding, decoding and cryptography. In this paper, the Gibbs sampling from Markov chain Monte Carlo (MCMC) methods is investigated for lattice Gaussian sampling. Firstly, the error function of random scan Gibbs sampling i...

Full description

Bibliographic Details

Published in:	2021 IEEE Information Theory Workshop (ITW) pp. 1 - 5
Main Authors:	Wang, Zheng, Xia, Yili, Lyu, Shanxiang, Ling, Cong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 17.10.2021
Subjects:	Gaussian distribution lattice coding and decoding Lattice Gaussian sampling Lattices Markov chain Monte Carlo Markov processes MIMO detection Monte Carlo methods Performance gain Reinforcement learning Simulation
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!