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Assessing Performance Gains Through Global Resource Control of Heterogeneous Wireless Networks

机译:通过异构无线网络的全局资源控制评估性能

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We study the resource allocation and management issues related to heterogeneous wireless systems made up of several radio access technologies (RATs) that collectively provide a unified wireless network to a diverse set of users through co-ordination managed by a centralized global resource controller (GRC). We assume that the user devices are multimodal, which makes it possible for each device to use any available access point (AP)/base station (BS) of a RAT at any given time. Through detailed protocol level simulations performed in ns-2, we show an increase in spectral efficiency of up to 99 percent and an increase in short-term fairness of up to 28.5 percent for two greedy sort-based user device-to-AP/BS association algorithms implemented at the GRC compared to a distributed solution used in practice today where each user makes his/her own association decision. While the increase in overhead due to re-associations for a centralized solution grows only slightly (by up to 4.1 percent) compared to a distributed solution, we find the performance increase in spectral efficiency and short-term fairness attributes come at the cost of an order of magnitude increase (of up to 794 percent) in energy consumption.
机译:我们研究与由几种无线接入技术(RAT)组成的异构无线系统有关的资源分配和管理问题,这些无线接入技术通过集中式全局资源控制器(GRC)的管理,共同为不同的用户集合提供统一的无线网络。 。我们假设用户设备是多模式的,这使得每个设备都可以在任何给定时间使用RAT的任何可用接入点(AP)/基站(BS)。通过在ns-2中执行的详细协议级别仿真,对于两个基于贪婪排序的用户设备到AP / BS,我们显示出频谱效率提高了99%,短期公平性提高了28.5%。 GRC实施的关联算法与当今实践中使用的分布式解决方案相比,现在每个用户都可以做出自己的关联决策。尽管与分布式解决方案相比,由于集中式解决方案的重新关联而导致的开销增加仅略有增长(最高达到4.1%),但我们发现频谱效率的性能提高和短期公平性属性的代价是能耗增加了一个数量级(最高794%)。

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