C-RAN中JT CoMP的模型优化

Hadjer Touati, Hind Castel-Taleb, B. Jouaber, Sara Akbarzadeh
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引用次数: 6

摘要

在本文中,我们在基于云的无线接入(C-RAN)和5G网络的背景下,开发了一种基于模型的JT CoMP(联合传输协调多点)优化技术。目标是简化根据流量负载在CoMP和非CoMP用户之间分配资源的决策。我们提出了一个数学排队模型,该模型的参数是根据我们在一组细胞中再现的真实无线电条件计算出来的。我们使用符合所考虑方案行为的封闭形式公式,并允许根据流量负载、无线电条件和协作宏单元中CoMP和非CoMP用户之间可用资源的分配来分析小区吞吐量。此外,结果的计算速度使我们能够建立一个复杂的优化模型。我们的工作的相关性在于,它可以作为一种资源管理工具集成,以快速决定在合作宏单元的CoMP和非CoMP用户之间的可用资源分配,以实现单元在用户吞吐量方面的最佳容量。从一个角度来看,所提出的基于队列的模型可用于定义流量负载,以便对C-RAN中的前传链路和BBU池进行量纲化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-Based optimization for JT CoMP in C-RAN
In this paper, we develop a model-based optimization technique for JT CoMP (Joint transmission Coordinated Multi-Points) in the context of Cloud based Radio Access (C-RAN) and 5G networks. The objective is to ease decisions on the distribution of resources between CoMP and non-CoMP users according to the traffic load. We propose a mathematical queuing model which parameters are computed from real radio conditions that we reproduced in a cluster of cells. We use a closed form formula that fits the behavior of the considered scheme and allows the analysis of the cell throughput according to traffic load, radio conditions and the distribution of available resources among the CoMP and non-CoMP users within the cooperative macro cells. Moreover, the computation speed of the results allows us to develop a complex optimization model. The relevance of our work is that it can be integrated as a resource management tools to decide quickly on the distribution of the available resources among the CoMP and non-CoMP users of the cooperative macro cells to achieve the optimal capacity of the cells in terms of user throughput. As a perspective, the proposed queue-based model can be used in order to define the traffic load in order to dimension the front-haul links and the BBU pool in C-RAN.
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