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Hauptverfasser: Fan, Siqi, Zhong, Yuxin, Hou, I-Hong, Kam, Clement K
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2406.00491
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author Fan, Siqi
Zhong, Yuxin
Hou, I-Hong
Kam, Clement K
author_facet Fan, Siqi
Zhong, Yuxin
Hou, I-Hong
Kam, Clement K
contents In this paper, we study the moments of the Age of Information (AoI) for both active and passive users in a random access network. In this network, active users broadcast sensing data, while passive users detect in-band radio activities from out-of-network devices, such as jammers. Collisions occur when multiple active users transmit simultaneously. Passive users can detect radio activities only when no active user transmits. Each active user's transmission behavior follows a Markov process. We aim to minimize the weighted sum of any moments of AoI for both user types. To achieve this, we employ a second-order analysis of system behavior. Specifically, we characterize an active user's transmission Markov process using its mean and temporal variance. We show that any moment of the AoI can be approximated by a function of these two parameters. This insight enables us to analyze and optimize the transmission Markov process for active users. We apply this strategy to two different random access models. Simulation results show that policies derived from this strategy outperform other baseline policies.
format Preprint
id arxiv_https___arxiv_org_abs_2406_00491
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimizing Age of Information in Random Access Networks: A Second-Order Approach for Active/Passive Users
Fan, Siqi
Zhong, Yuxin
Hou, I-Hong
Kam, Clement K
Networking and Internet Architecture
In this paper, we study the moments of the Age of Information (AoI) for both active and passive users in a random access network. In this network, active users broadcast sensing data, while passive users detect in-band radio activities from out-of-network devices, such as jammers. Collisions occur when multiple active users transmit simultaneously. Passive users can detect radio activities only when no active user transmits. Each active user's transmission behavior follows a Markov process. We aim to minimize the weighted sum of any moments of AoI for both user types. To achieve this, we employ a second-order analysis of system behavior. Specifically, we characterize an active user's transmission Markov process using its mean and temporal variance. We show that any moment of the AoI can be approximated by a function of these two parameters. This insight enables us to analyze and optimize the transmission Markov process for active users. We apply this strategy to two different random access models. Simulation results show that policies derived from this strategy outperform other baseline policies.
title Optimizing Age of Information in Random Access Networks: A Second-Order Approach for Active/Passive Users
topic Networking and Internet Architecture
url https://arxiv.org/abs/2406.00491