The Experience of Designing and Application of CAD Systems in Microelectronics 2015
DOI: 10.1109/cadsm.2015.7230889
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Results of development of model for bandwidth management in LTE downlink with Resource Allocation Type 1

Abstract: -If the user is buying a telecommunications service, he expects from the provider of a certain quality of servicing. So the delivery of telecommunications traffic must be realized with the specified quality requirements. As a rule the requirements are related to traffic rate, average delay, packet jitter, and the reliability (delivery or loss probability). The main way to meet its is finding appropriate path or multipath along which these requirements are satisfied. The multipath case is related to traffic dis… Show more

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Cited by 5 publications
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“…Although, the proposed model demonstrates the parallel deployment of 30K M2M devices with reasonable efforts, but it couldn't scale to the 52K M2M devices recommended in the IoT requirements. In [7], despite the mathematical model for LTE downlink bandwidth allocation that was proposed with the aim of providing a good QoS for each UE, the coexistence between LTE-M and LTE-A systems and the bandwidth adaptation are not spotted. In [8], a proposed cognitive-based radio access strategy with a priority queuing scheme is applied in LTE-A networks with M2M/H2H coexistence distinguishing M2M devices based on their traffic QoS requirements.…”
Section: State Of the Artmentioning
confidence: 99%
“…Although, the proposed model demonstrates the parallel deployment of 30K M2M devices with reasonable efforts, but it couldn't scale to the 52K M2M devices recommended in the IoT requirements. In [7], despite the mathematical model for LTE downlink bandwidth allocation that was proposed with the aim of providing a good QoS for each UE, the coexistence between LTE-M and LTE-A systems and the bandwidth adaptation are not spotted. In [8], a proposed cognitive-based radio access strategy with a priority queuing scheme is applied in LTE-A networks with M2M/H2H coexistence distinguishing M2M devices based on their traffic QoS requirements.…”
Section: State Of the Artmentioning
confidence: 99%