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Performance-Oriented Association in Large Cellular Networks with Technology Diversity

机译：具有技术多样性的大型蜂窝网络中面向性能的关联

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The development of mobile virtual network operators, where multiple wireless technologies (e.g. 3G and 4G) or operators with non-overlapping bandwidths are pooled and shared is expected to provide enhanced service with broader coverage, without incurring additional infrastructure cost. However, their emergence poses an unsolved question on how to harness such a technology and bandwidth diversity. This paper addresses one of the simplest questions in this class, namely, the issue of associating each mobile to one of those bandwidths. Intriguingly, this association issue is intrinsically distinct from those in traditional networks. We first propose a generic stochastic geometry model lending itself to analyzing a wide class of association policies exploiting various information on the network topology, e.g. received pilot powers and fading values. This model firstly paves the way for tailoring and designing an optimal association scheme to maximize any performance metric of interest (such as the probability of coverage) subject to the information known about the network. In this class of optimal association, we prove a result that the performance improves as the information known about the network increases. Secondly, this model is used to quantify the performance of any arbitrary association policy and not just the optimal association policy. We propose a simple policy called the Max-Ratio which is not-parametric, i.e. it dispenses with the statistical knowledge of base station deployments commonly used in stochastic geometry models. We also prove that this simple policy is optimal in a certain limiting regime of the wireless environment. Our analytical results are combined with simulations to compare these policies with basic schemes, which provide insights into (i) a practical compromise between performance gain and cost of estimating information and, (ii) the selection of association schemes under environments with different propagation models, i.e. path-loss exponents.
机译：移动虚拟网络运营商的发展，将多种无线技术（例如3G和4G）或具有非重叠带宽的运营商汇聚并共享在一起，有望在不增加基础架构成本的情况下提供覆盖更广的增强型服务。但是，它们的出现对如何利用这种技术和带宽多样性提出了一个尚未解决的问题。本文解决了此类中最简单的问题之一，即将每个移动设备与这些带宽之一相关联的问题。有趣的是，这种关联问题本质上不同于传统网络中的关联问题。我们首先提出一个通用的随机几何模型，以利用网络拓扑上的各种信息来分析各种各样的关联策略。接收到的导频功率和衰落值。该模型首先为定制和设计最佳关联方案铺平了道路，该方案将最大化有关网络已知信息的任何感兴趣的性能指标（例如覆盖率）。在此类最佳关联中，我们证明了随着有关网络的已知信息的增加，性能会提高的结果。其次，此模型用于量化任何任意关联策略的性能，而不仅仅是最佳关联策略。我们提出了一种简单的策略，即非参数的最大比例（Max-Ratio），即它免除了随机几何模型中通常使用的基站部署的统计知识。我们还证明了这种简单的策略在无线环境的特定限制范围内是最佳的。我们的分析结果与仿真结果相结合，将这些策略与基本方案进行了比较，从而提供了以下方面的见解：（i）性能增益与估算信息成本之间的实际折衷;（ii）在具有不同传播模型的环境下选择关联方案，即路径损耗指数。

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