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On Energy Efficient Resource Allocation in Shared RANs: Survey and Qualitative Analysis

机译:共享RAN节能资源分配:调查与定性分析

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An expansion of services and unprecedented traffic growth is anticipated in future networks, aligned with the adoption of the long-awaited Fifth Generation (5G) of mobile communications. To support this demand, without exposing mobile operators to the pressure of CAPEX and OPEX, 5G uses new frequency bands, and adopts promising trends, including: densification, softwarization, and autonomous management. While the first technology is proposed to handle the traffic growth requirements, the softwarization and autonomous management are expected to play, in synergy, to ensure the desired trade-off between reducing the CAPEX and OPEX, while guaranteeing the quality of service (QoS). Softwarization is expected to transform the network design, from one size fits all, to more demand oriented adaptive resource allocation. In this work, we focus on this point, by discussing how these technologies act in synergy towards enabling RAN sharing. Particularly, we focus on how they fit into the issue of energy efficient Multi-Operator Resource Allocation (MO-RA). After a survey and classification of schemes leveraging this synergy for distinct resource allocation (RA) objectives, we present a detailed survey and qualitative classification of RA schemes with respect to energy efficiency. This work presents an innovative survey, since it concentrates on multiple operators, and the enabling of Mobile Virtual Network Operators (MVNOs), which will come into play with the complete virtualization of mobile networks. Based on the deep literature analysis of the different operations that can bring energy savings to MO-RA, we conclude the work with listing open challenges and future research directions.
机译:在未来的网络中预计服务和前所未有的交通增长的扩大,与通过期待已久的第五代(5G)的移动通信一致。为了支持这一需求,在不将移动运营商暴露给资本支出和OPEX的压力下,5G使用新的频段,并采用有前途的趋势,包括:致密化,软态和自主管理。虽然提出了第一种技术来处理交通增长要求,但预计Synergy和自主管理将在协同作用中发挥作用,以确保在减少资本资产税和OPEX之间的期望权衡,同时保证服务质量(QoS)。软态预计将从一个尺寸适应所有尺寸的网络设计,以更新的需求为导向的自适应资源分配。在这项工作中,我们通过讨论这些技术如何在协同作用方面讨论实现竞选共享。特别是,我们专注于它们如何适应节能多运营商资源分配问题(MO-RA)。在对不同资源分配(RA)目标的利用这一协同作用的计划的调查和分类后,我们对能源效率提供了RA方案的详细调查和定性分类。这项工作提出了一个创新的调查,因为它专注于多个操作员,以及移动虚拟网络运营商(MVNOS)的启用,这将与移动网络的完整虚拟化发挥作用。基于对可以将节能的不同行动的深层文献分析,我们与上市开放挑战和未来的研究方向的工作结束。

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