On the Age of Information in a Two-User Multiple Access Setup

This work considers a two-user multiple access channel in which both users have Age of Information (AoI)-oriented traffic with different characteristics. More specifically, the first user has external traffic and cannot control the generation of status updates, and the second user monitors a sensor...

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Main Authors: Mehrdad Salimnejad, Nikolaos Pappas
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/4/542
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author Mehrdad Salimnejad
Nikolaos Pappas
author_facet Mehrdad Salimnejad
Nikolaos Pappas
author_sort Mehrdad Salimnejad
collection DOAJ
description This work considers a two-user multiple access channel in which both users have Age of Information (AoI)-oriented traffic with different characteristics. More specifically, the first user has external traffic and cannot control the generation of status updates, and the second user monitors a sensor and transmits status updates to the receiver according to a generate-at-will policy. The receiver is equipped with multiple antennas and the transmitters have single antennas; the channels are subject to Rayleigh fading and path loss. We analyze the average AoI of the first user for a discrete-time first-come-first-served (FCFS) queue, last-come-first-served (LCFS) queue, and queue with packet replacement. We derive the AoI distribution and the average AoI of the second user for a threshold policy. Then, we formulate an optimization problem to minimize the average AoI of the first user for the FCFS and LCFS with preemption queue discipline to maintain the average AoI of the second user below a given level. The constraints of the optimization problem are shown to be convex. It is also shown that the objective function of the problem for the first-come-first-served queue policy is non-convex, and a suboptimal technique is introduced to effectively solve the problem using the algorithms developed for solving a convex optimization problem. Numerical results illustrate the performance of the considered optimization algorithm versus the different parameters of the system. Finally, we discuss how the analytical results of this work can be extended to capture larger setups with more than two users.
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spelling doaj.art-f8e5196f81354d4e97dd49c51c252ab42023-12-01T20:51:18ZengMDPI AGEntropy1099-43002022-04-0124454210.3390/e24040542On the Age of Information in a Two-User Multiple Access SetupMehrdad Salimnejad0Nikolaos Pappas1Department of Science and Technology, Linköping University, SE-60174 Norrköping, SwedenDepartment of Science and Technology, Linköping University, SE-60174 Norrköping, SwedenThis work considers a two-user multiple access channel in which both users have Age of Information (AoI)-oriented traffic with different characteristics. More specifically, the first user has external traffic and cannot control the generation of status updates, and the second user monitors a sensor and transmits status updates to the receiver according to a generate-at-will policy. The receiver is equipped with multiple antennas and the transmitters have single antennas; the channels are subject to Rayleigh fading and path loss. We analyze the average AoI of the first user for a discrete-time first-come-first-served (FCFS) queue, last-come-first-served (LCFS) queue, and queue with packet replacement. We derive the AoI distribution and the average AoI of the second user for a threshold policy. Then, we formulate an optimization problem to minimize the average AoI of the first user for the FCFS and LCFS with preemption queue discipline to maintain the average AoI of the second user below a given level. The constraints of the optimization problem are shown to be convex. It is also shown that the objective function of the problem for the first-come-first-served queue policy is non-convex, and a suboptimal technique is introduced to effectively solve the problem using the algorithms developed for solving a convex optimization problem. Numerical results illustrate the performance of the considered optimization algorithm versus the different parameters of the system. Finally, we discuss how the analytical results of this work can be extended to capture larger setups with more than two users.https://www.mdpi.com/1099-4300/24/4/542age of informationmultiple access channelsmultiple-input multiple-output Rayleigh fading channeldiscrete-time Markov chainconvex optimization
spellingShingle Mehrdad Salimnejad
Nikolaos Pappas
On the Age of Information in a Two-User Multiple Access Setup
Entropy
age of information
multiple access channels
multiple-input multiple-output Rayleigh fading channel
discrete-time Markov chain
convex optimization
title On the Age of Information in a Two-User Multiple Access Setup
title_full On the Age of Information in a Two-User Multiple Access Setup
title_fullStr On the Age of Information in a Two-User Multiple Access Setup
title_full_unstemmed On the Age of Information in a Two-User Multiple Access Setup
title_short On the Age of Information in a Two-User Multiple Access Setup
title_sort on the age of information in a two user multiple access setup
topic age of information
multiple access channels
multiple-input multiple-output Rayleigh fading channel
discrete-time Markov chain
convex optimization
url https://www.mdpi.com/1099-4300/24/4/542
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