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Achieving User-Level Fairness in Open-Access Femtocell-Based Architecture

机译:在基于开放接入的Femtocell架构中实现用户级公平

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Femtocell-based architectures have the potential to position the cellular service providers to compete head-on with the WiFi market. However, significant interference can happen due to unplanned deployments. Current use of hard partitioning approaches for resource allocation, and lack of guidelines for configuring the femtocells, makes it difficult to obtain significant performance gains over traditional cellular networks. In this paper, we study the dynamic OFDMA subchannel assignment problem while jointly considering power assignment and association control to provide maxmin fairness. Toward this objective, we first consider a noninterfering model (NINT model), which disallows interfering femtocells in the solution. A more general interfering model (INT model) is then considered under which the problem is transformed into the partition coloring problem. We then show the NP-hardness of the problems and design centralized approximation algorithms with provable bounds and distributed solutions. Through extensive simulations in realistic settings we show that, compared to previous work, our solutions under the NINT model can achieve two times the minimum throughput, and under the INT model the minimum throughput can be up to three times the baseline algorithms.
机译:基于Femtocell的架构有潜力定位蜂窝服务提供商,以与WiFi市场正面竞争。但是,由于计划外的部署,可能会发生重大干扰。当前使用硬分区方法进行资源分配,以及缺乏用于配置毫微微小区的准则,使得与传统的蜂窝网络相比,很难获得显着的性能提升。本文在研究动态OFDMA子信道分配问题的同时,综合考虑了功率分配和关联控制以提供最大最小公平性。为了实现这一目标,我们首先考虑一个非干扰模型(NINT模型),该模型不允许解决方案中的干扰毫微微小区。然后考虑一个更通用的干扰模型(INT模型),在该模型下问题被转换为分区着色问题。然后,我们展示问题的NP难度,并设计具有可证明边界和分布式解决方案的集中式近似算法。通过在实际环境中进行广泛的仿真,我们发现,与以前的工作相比,我们在NINT模型下的解决方案可以达到最小吞吐量的两倍,而在INT模型下,最小吞吐量可以达到基线算法的三倍。

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