Cargando…
Optimizing Age Penalty in Time-Varying Networks with Markovian and Error-Prone Channel State
In this paper, we consider a scenario where the base station (BS) collects time-sensitive data from multiple sensors through time-varying and error-prone channels. We characterize the data freshness at the terminal end through a class of monotone increasing functions related to Age of information (A...
Autores principales: | Chen, Yuchao, Tang, Haoyue, Wang, Jintao, Song, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827969/ https://www.ncbi.nlm.nih.gov/pubmed/33435242 http://dx.doi.org/10.3390/e23010091 |
Ejemplares similares
-
Endemic state equivalence between non-Markovian SEIS and Markovian SIS model in complex networks
por: Tomovski, Igor, et al.
Publicado: (2022) -
Equivalence and its invalidation between non-Markovian and Markovian spreading dynamics on complex networks
por: Feng, Mi, et al.
Publicado: (2019) -
Fluctuations in tissue growth portray homeostasis as a critical state and long-time non-Markovian cell proliferation as Markovian
por: Lavalle, Natalia G., et al.
Publicado: (2023) -
Publisher Correction: Equivalence and its invalidation between non-Markovian and Markovian spreading dynamics on complex networks
por: Feng, Mi, et al.
Publicado: (2019) -
Using Matrix-Product States for Open Quantum Many-Body Systems: Efficient Algorithms for Markovian and Non-Markovian Time-Evolution
por: Finsterhölzl, Regina, et al.
Publicado: (2020)