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Applicable Cost Modeling of LTE-Advanced and IEEE 802.11ac based Heterogeneous Wireless Access Networks

机译:LTE-Advanced和IEEE 802.11ac基于异构无线接入网络的适用成本建模

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In this paper, we propose applicable and comparative cost-capacity analysis of the heterogeneous wireless networks in order to determine the most cost effective radio network deployment strategies as a function of an extreme demand levels of even more than 100 GB per user and month. We perform the modeling by considering of the unit cost drivers relevant for the various base station classes which provide different coverage and high capacity performance, coming with the Long Term Evolution Release 10 (LTE-Advanced) radio access technology or IEEE 802.11ac Wi-Fi standard. Considering different amounts of available bandwidth in the 800 MHz and 2.6 GHz bands, the key finding is that the small cell solutions like femto cells and Wi-Fi are more cost efficient when new macro base station sites need to be deployed or when very high demand levels need to be satisfied. In all other evaluated cases, the importance of the spectrum size comes to the highest level together with the introduction of the LTE-Advanced carrier aggregation functionality. Also, we evaluate the economic gains of a joint deployment of femto/Wi-Fi sites from one side and macrocells from other side. We determine that instead of investing in additional spectrum or deploying denser macro network, mobile operators could compensate the indoor wall penetration losses by deploying different number of femto sites per floor or user per femto site, for still satisfactory level of QoS.
机译:在本文中,我们提出了异构无线网络的适用和比较成本分析,以确定最具成本效益的无线网络部署策略,作为每个用户和月份甚至超过100 GB的极端需求水平的函数。我们通过考虑与各种基站类相关的单位成本驱动程序进行建模,这些载体提供不同覆盖和高容量性能,即长期演进版本10(LTE-Advanced)无线电接入技术或IEEE 802.11ac Wi-Fi。标准。考虑到800 MHz和2.6 GHz频段中的不同数量的可用带宽,关键发现是,当需要部署新的宏基站点或当需要很高的需求时,毫微微电池和Wi-Fi的小型电池解决方案更具成本效益需要满足水平。在所有其他评估的情况下,频谱尺寸的重要性与引入LTE-Advanced载波聚合功能的引入一起达到最高级别。此外,我们评估了从另一侧的一侧和宏小区联合部署Femto / Wi-Fi站点的经济增长。我们确定,而不是投资额外的频谱或部署更密集的宏网络,移动运营商可以通过部署每艘毫微微或用户的用户数量不同的毫微微网站来补偿室内墙壁渗透损失,因为仍然令人满意的QoS。

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