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Moment Generating Function of Age of Information in Multisource M/G/1/1 Queueing Systems

Mohammad Moltafet, Markus Leinonen, Marian Codreanu

2022IEEE Transactions on Communications28 citationsDOIOpen Access PDF

Abstract

We consider a multi-source status update system, where each source generates status update packets according to a Poisson process which are then served according to a generally distributed service time. For this multi-source M/G/1/1 queueing model, we consider a self-preemptive packet management policy and derive the moment generating functions (MGFs) of the age of information (AoI) and peak AoI of each source. According to the policy, an arriving fresh packet preempts the possible packet of the same source in the system. Furthermore, we derive the MGFs of the AoI and peak AoI for the globally preemptive and non-preemptive policies, for which only the average AoI and peak AoI have been derived earlier. Finally, we use the MGFs to derive the average AoI and peak AoI in a two-source M/G/1/1 queueing model under each policy. Numerical results show the effect of the service time distribution parameters on the average AoI. The results also highlight the importance of higher moments of the AoI.

Topics & Concepts

Network packetMoment (physics)Queueing theoryComputer sciencePoisson distributionMoment-generating functionLayered queueing networkPoisson processProcess (computing)Function (biology)Mathematical optimizationReal-time computingComputer networkRandom variableMathematicsPhysicsStatisticsOperating systemBiologyClassical mechanicsEvolutionary biologyAge of Information OptimizationCongenital Heart Disease StudiesRetirement, Disability, and Employment