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Traffic modelling of low dense femtocellular network

机译:低密集毫微微细胞网络的交通造型

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The prime objective of LTE (Long-term evolution) mobile cellular network is to ensure high speed data with good QoS. In LTE femtocellular network the tiny femtocell are integrated with macrocell to transfer overflow traffic (off loading) from macrocell to femtocell. A dense femtocellular network experiences frequent handover and huge interferences. Therefore in traffic modelling two parameters: the availability of traffic channel and threshold SNR (signal to noise ratio) at receiving end need to be considered together. In this paper a complete analytical model of traffic of low dense femtocellular network is developed using two dimensional Markov chain. Finally received SNR of UE (user equipment) is incorporated with the probability states of network traffic and the analytical results are verified with simulation.
机译:LTE(长期演进)移动蜂窝网络的主要目标是确保具有良好QoS的高速数据。 在LTE毫微微细胞网络中,微小蜂窝线与宏小区集成,以将溢出流量(OFF加载)从宏小区转移到毫微微小区。 密集的毫微微细胞网络经历频繁的切换和巨大的干扰。 因此,在交通建模中,两个参数:在接收端的交通信道和阈值SNR(信噪比)的可用性需要在一起。 本文使用二维马尔可夫链开发了一种完整的低密集毫微微细胞网络流量的分析模型。 最后收到UE(用户设备)的SNR与网络流量的概率状态结合,并通过仿真验证了分析结果。

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