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Study of throughput based on the impact of propagation effects and traffic patterns in wireless cellular networks

机译:基于无线蜂窝网络中传播效应和流量模式影响的吞吐量研究

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One of the important challenges in the wireless heterogeneous cellular network is to stochastically model a network for improving its performance, which can be analyzed in terms of throughput. For increasing the throughput of a particular network it is very important to characterize the noise and interference resulting from various sources in the network. In this article we frame a network model using Poisson point process (PPP) distribution for characterizing the throughput with respect to signal-to-interference-plus-noise ratio (SINR), which ensures the successful reception of packets by the receiver only if the SINR value is more than a predefined threshold value, assuming interference from all possible transmitting devices in the network. Then we characterize the throughput with respect to packet traffic, which ensures the successful reception of packets only if the transmitted packet does not collide with other packets emitted by the nearby transmitters. Furthermore, we provide a study of the impact of the wireless propagation characteristic (e.g., Path loss and Rayleigh fading) and packet traffic patterns (e.g., slotted-synchronous, slotted-asynchronous) on the throughput of the wireless heterogeneous cellular network.
机译:无线异构蜂窝网络中的重要挑战之一是对网络进行随机建模以提高其性能,可以对吞吐量进行分析。为了增加特定网络的吞吐量,表征网络中各种来源引起的噪声和干扰非常重要。在本文中,我们使用泊松点过程(PPP)分布来构建网络模型,以表征相对于信噪比(SINR)的吞吐量,这可以确保仅当接收方成功接收到数据包时,假设来自网络中所有可能的传输设备的干扰,则SINR值大于预定义的阈值。然后,我们就包流量的吞吐量进行了表征,只有在传输的包与附近的发射器发射的其他包不发生冲突的情况下,才能确保包的成功接收。此外,我们提供了无线传播特性(例如,路径损耗和瑞利衰落)和分组流量模式(例如,时隙同步,时隙异步)对无线异构蜂窝网络吞吐量的影响的研究。

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