Results 241 to 250 of about 2,207,221 (306)

Convolutional-neural-network-based versus vision-transformer-based SNR estimation for visible light communication networks.

Optics Letters, 2023
Visible light communication (VLC) has emerged as a promising technology for future sixth-generation (6 G) communications. Estimating and predicting the impairments, such as turbulence and free space signal scattering, can help to construct flexible and ...
Zhenquan Zhao, F. Khan, Zeyad A. H. Qasem, Bohua Deng, Qian Li, Zhengyong Liu, H. Fu   +6 more
semanticscholar   +1 more source

On a New SNR Estimation Approach With Polar Codes

IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, 2021
A maximum likelihood polar code-aided (ML-PCA) SNR estimation algorithm is proposed in this paper. In the ML-PCA algorithm, the posterior soft information of polar BP decoding is adopted to help the SNR estimation process.
Chaofan Chen, Jiayi Wu, Changhong Wang, Xiaqing Miao, Xiangyuan Bu   +4 more
semanticscholar   +1 more source

Novel CNN and Hybrid CNN-LSTM Algorithms for UWB SNR Estimation

Computing and Communication Workshop and Conference, 2021
Ultra-wideband (UWB) technology is an excellent solution for short-range communication and localization systems in the next generation of cognitive radio (CR) paradigm.
A. Abbasi, Huaping Liu
semanticscholar   +1 more source

Low-Complexity Non-Data-Aided SNR Estimation for Multilevel Constellations

IEEE Communications Letters, 2020
Empirical-distribution-function (EDF)-based non-data-aided signal-to-noise ratio (SNR) estimation methods are effective for multilevel constellations but require many matching operations between reference cumulative distribution functions and EDF.
Wentao Wang, Yuyao Shen, Yongqing Wang
semanticscholar   +1 more source

High-precision SNR Estimation by CNN using PSD Image for Adaptive Modulation and Coding

IEEE Vehicular Technology Conference, 2020
This paper proposes a highly accurate signal to noise ratio (SNR) estimation method for adaptive modulation and coding (AMC) by learning power spectral density (PSD) images with a convolutional neural network (CNN).
S. Kojima, K. Maruta, C. Ahn
semanticscholar   +1 more source

SNR estimation for nonconstant modulus constellations

IEEE Transactions on Signal Processing, 2004
We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant modulus constellations which is a feature not found in the existing approaches.
null Ping Gao, C. Tepedelenlioglu
openaire   +1 more source

A reduced complexity SNR estimator

IET Conference Publications, 2009
This paper presents a novel reduced complexity SNR estimator, whose performances are comparable with the maximum-likelihood estimator while saving one half of the floating point multiplications and one third of the floating point sums. A detailed statistical description of the estimate, as well as simulation results, are provided. (4 pages)
CANDREVA, ENZO ALBERTO, CORAZZA, GIOVANNI EMANUELE, VANELLI CORALLI, ALESSANDRO   +2 more
openaire   +2 more sources

Turbo-decoding without SNR estimation

IEEE Communications Letters, 2000
Theoretically, it is necessary to estimate the SNR when using a MAP of the log-MAP constituent decoder. The effect of an SNR mismatch on the bit error rate performance of turbo-codes and the design of good variance estimators have been addressed by several authors.
A. Worm, P. Hoeher, N. Wehn
openaire   +1 more source

Squared envelope-based SNR estimation

Journal of the Chinese Institute of Engineers, 2013
Two novel squared envelope (SQE)-based and nondata-aided (NDA) signal-to-noise ratio (SNR) estimators over slow fading channel are proposed, which are robust to carrier offsets and can be applied to both nonconstant modulus (NCM) and constant modulus (CM) constellations.
Miin-Jong Hao, Wei-Lun Tsai, Yu-Chi Tsai
openaire   +1 more source

SNR-Based Link Quality Estimation

2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012
The ability to accurately estimate wireless link quality is critical to the performance of routing protocols and rate adaptation algorithms in wireless mesh networks. Current link quality estimation methods utilize the packet delivery ratio (PDR) measurement of periodic broadcast probes sent at the lowest transmission rate.
Wee Lum Tan, Peizhao Hu, Marius Portmann
openaire   +1 more source