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Impact of Picocells on the Capacity and Energy Efficiency of Mobile Networks

机译:picocells对移动网络容量和能效的影响

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摘要

The deployment of small cells in mobile networks has aroused a large interest in the last few years. This paper investigates the impact of picocell deployment on the performance and power consumption of mobile networks. Since different network upgrades introduce different performance gains, comparing different configurations exclusively on their overall power consumption can be rather biased. For this reason, a new Key Performance Indicator (KPI), termed ‘energy efficiency’, is introduced and used throughout this study, bringing together network performance and its overall power consumption. In the first section of the study, a theoretical analysis for the Erlang-like capacity of a network, considering a uniform topology and traffic, is performed, using queuing theory analysis, namely Processor Sharing queues. Results show that in all cases the deployment of picocells improve the performance of the network, however the energy efficiency is noted to be dependent on the deployment scenario considered. In the second part of the study, a more realistic scenario with non-uniform topology and traffic is considered, which is carried out through a large-scale system level simulator. Results show that by deploying pico cells in areas experiencing high levels of traffic, the energy efficiency of the network can beconsiderably improved.
机译:在过去的几年中,小型蜂窝在移动网络中的部署引起了人们的极大兴趣。本文研究了微微小区部署对移动网络性能和功耗的影响。由于不同的网络升级会带来不同的性能提升,因此仅比较不同配置的总体功耗可能会产生偏差。因此,在本研究中引入并使用了一个新的关键绩效指标(KPI),称为“能源效率”,将网络性能及其总体功耗汇总在一起。在研究的第一部分中,使用排队理论分析,即处理器共享队列,对网络的类似Erlang的容量进行了理论分析,同时考虑了统一的拓扑和流量。结果表明,在所有情况下,微微小区的部署都会改善网络的性能,但是,能效却取决于所考虑的部署方案。在研究的第二部分中,考虑了具有不均匀拓扑和流量的更现实的场景,该场景是通过大型系统级模拟器执行的。结果表明,通过在交通流量大的区域部署微微小区,可以大大提高网络的能源效率。

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