3 research outputs found

    Analytical model for multicast subgrouping in 5G-mobile eMBMS environment

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    This paper proposes an analytical model for characterizing the impact of the users' mobility in the multicast subgroup formation problem when the aggregate data rate is maximized in Long Term Evolution (LTE) and beyond systems. We demonstrate that, under the condition of constant number of multicast users within the service area, their mobility can be modelled as a queuing network. The proposed model has been validated with the most relevant multicast mobility simulative approaches proposed in literature. The high relevance of this result is that the proposed model can be easily exploited to characterize the user mobility in practical LTE systems to avoid the heavy-processing burden of solutions based on simulative approaches. © 2017 IEEE

    Analytical model for multicast subgrouping in 5G-mobile eMBMS environment

    No full text
    This paper proposes an analytical model for characterizing the impact of the users' mobility in the multicast subgroup formation problem when the aggregate data rate is maximized in Long Term Evolution (LTE) and beyond systems. We demonstrate that, under the condition of constant number of multicast users within the service area, their mobility can be modelled as a queuing network. The proposed model has been validated with the most relevant multicast mobility simulative approaches proposed in literature. The high relevance of this result is that the proposed model can be easily exploited to characterize the user mobility in practical LTE systems to avoid the heavy-processing burden of solutions based on simulative approaches. © 2017 IEEE

    Материалы VI Международной молодежной научной конференции "Математическое и программное обеспечение информационных, технических и экономических систем", Томск, 24-26 мая 2018 г.

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    Сборник содержит материалы VI Всероссийской молодёжной научной конференции «Математическое и программное обеспечение информационных, технических и экономических систем», проводившейся 24–26 мая 2018 г. на базе Института прикладной математики и компьютерных наук Томского государственного университета. Материалы сгруппированы в соответствии с работавшими на конференции секциями
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