Optimizing Age Penalty in Time-Varying Networks with Markovian and Error-Prone Channel State

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...

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Bibliographic Details
Main Authors: Yuchao Chen, Haoyue Tang, Jintao Wang, Jian Song
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Entropy
Subjects:
age of information
cross-layer design
constrained Markov decision process
Online Access:https://www.mdpi.com/1099-4300/23/1/91

Internet

https://www.mdpi.com/1099-4300/23/1/91

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