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Traffic Models and Associated Parameters in GSM/(E) GPRS Networks

机译:GSM /(E)GPRS网络中的流量模型和相关参数

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GSM/(E)GPRS networks support a mixture of traffic consisting of voice and data. A key concept of dimensioning radio resources in such networks is represented by sharing resources between different users and different services. In this paper we address the problem of voice and data traffic models according to different resources allocations strategies: CP (Complete Partitioning) and PP( Partial Partitioning) and define specific parameters in each case. The proposed traffic model depend in each case on the resources allocation strategy: for voice traffic it is based on both cases, CP and PP, on Erlang law meanwhile for data traffic we build different models depending the scheme used for resources allocation. For CP scheme we propose two models: the model based on Erlang law and those based on modified Engset law. For PP scheme we also proposed two models: one is based on the bi-dimensional Markov chain and the other on the modified Engset law. Both consider voice-data interaction according to the PP scheme. In all cases we define specific performance parameters. We also implement the studied models and evaluate the proposed performance parameters. Finally we compare the results in order to find the adequate model to use for dimensioning purposes.
机译:GSM /(E)GPRS网络支持由语音和数据组成的流量混合。在这样的网络中确定无线电资源大小的关键概念是通过在不同用户和不同服务之间共享资源来表示的。在本文中,我们根据不同的资源分配策略(CP(完全分区)和PP(部分分区))解决语音和数据流量模型的问题,并在每种情况下定义特定的参数。所提出的流量模型在每种情况下均取决于资源分配策略:对于语音流量,它基于CP和PP两种情况,并基于Erlang法则,同时对于数据流量,我们根据用于资源分配的方案构建不同的模型。对于CP方案,我们提出了两种模型:基于Erlang定律的模型和基于改进的Engset定律的模型。对于PP方案,我们还提出了两种模型:一种基于二维马尔可夫链,另一种基于改进的Engset定律。两者都考虑根据PP方案进行语音数据交互。在所有情况下,我们都定义特定的性能参数。我们还实施研究模型并评估建议的性能参数。最后,我们比较结果,以找到用于尺寸标注的适当模型。

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