Alocacao de blocos de recurso em redes LTE e utilizando logica fuzzy e estimacao adaptativa de banda efetiva
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Data
2015-03-19
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Universidade Federal de Goiás
Resumo
In this paper we propose two schemes for allocating resource blocks for transmission LTE
downlink to maximize the throughput of the system, to guarantee QoS (Quality of Service)
parameters for the users and reduce the data loss rate of network. The first proposed scheme
uses the Max-min criterion and the second employs a fuzzy inference system to calculate the
priorities of users and make scheduling decisions. Both schemes use an estimated effective
bandwidth of traffic flows of users. The effective bandwidth of a traffic flow is the rate required
to meet a criterion of probability of data loss rate. In this work, the effective bandwidth is
estimated adaptively by the parameters of multifractal modeling βMWM (β-Multifractal
Wavelet Mode). Are made simulations of the algorithms proposed, considering different
propagation models with multipath fading and with different numbers of users in the network.
The simulation results are compared with other algorithms presented in the literature, using
parameters such as: throughput of the system, data loss rate and fairness index. It is also
proposed to use predict of the SNR (Signal-to-Noise Ratio) of users, in the scheduling
algorithms, using linear prediction of multi-step filter, in view of the delay in receipt of the
channel quality information of the users in the base station and the variation of the signal
propagation conditions. The multi-step prediction filter is used with the algorithms of allocation
of resource blocks proposed in this work to estimate the signal-to-noise-ratio of users and set
well, modulation schemes and code to be used in the LTE network.
Descrição
Palavras-chave
Escalonamento , Fuzzy , LTE , Modelagem multifractal MWM , QoS , Fuzzy , LTE , Multifractal modeling MWM , QoS , Scheduling
Citação
ABRAHAO, D. C. Alocacao de blocos de recurso em redes LTE e utilizando logica fuzzy e estimacao adaptativa de banda efetiva. 2015. 129 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2015.