A Novel Optical Label Switching Based on Quadrature Phase Shift Keying (DQPSK)
Sign Up to like & getrecommendations! Published in 2025 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.70222
Abstract: Optical label switching (OLS) has become an attractive solution for packet‐based optical switching. A novel OLS method applying differential quadrature phase shift keying (DQPSK) is proposed in this paper. DQPSK is able to modulate two… read more here.
Keywords: label switching; quadrature phase; optical label; shift keying ... See more keywords
WALS-DA: A Refined Label Switching Framework for Directional- and Hybrid-Antennas MANETs
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3571958
Abstract: The original Wireless Arithmetic Label Switching (WALS) framework is unsuitable for MANETs with directional antennas. To overcome this, we propose WALS-DA (WALS with Directional Antennas) which dynamically assigns prime keys to edges (virtual links) between… read more here.
Keywords: label switching; directional hybrid; wals refined; refined label ... See more keywords
A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models
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DOI: 10.1177/0013164420970614
Abstract: Simulation studies involving mixture models inevitably aggregate parameter estimates and other output across numerous replications. A primary issue that arises in these methodological investigations is label switching. The current study compares several label switching corrections… read more here.
Keywords: class; growth mixture; label switching; mixture ... See more keywords
Fitting Non-Parametric Mixture of Regressions: Introducing an EM-Type Algorithm to Address the Label-Switching Problem
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14051058
Abstract: The non-parametric Gaussian mixture of regressions (NPGMRs) model serves as a flexible approach for the determination of latent heterogeneous regression relationships. This model assumes that the component means, variances and mixing proportions are smooth unknown… read more here.
Keywords: mixture regressions; regression; label switching; non parametric ... See more keywords