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Renewable Energy Assisted Function Splitting in Cloud Radio Access Networks
Mobile Networks and Applications ( IF 3.8 ) Pub Date : 2020-05-26 , DOI: 10.1007/s11036-020-01544-0
Turgay Pamuklu , Cicek Cavdar , Cem Ersoy

Cloud-Radio Access Network (C-RAN) is a promising network architecture to reduce energy consumption and the increasing number of base station deployment costs in mobile networks. However, the necessity of enormous fronthaul bandwidth between a remote radio head and a baseband unit (BBU) calls for novel solutions. One of the solutions introduces the edge-cloud layer in addition to the centralized cloud (CC) to keep resources closer to the radio units (RUs). Then, split the BBU functions between the center cloud (CC) and edge clouds (ECs) to reduce the fronthaul bandwidth requirement and to relax the stringent end-to-end delay requirements. This paper expands this architecture by combining it with renewable energy sources in CC and ECs. We explain this novel system and formulate a mixed-integer linear programming (MILP) problem, which aims to reduce the operational expenditure of this system. Due to the NP-Hard property of this problem, we solve the smaller instances by using a MILP Solver and provide the results in this paper. Moreover, we propose a faster online heuristic to find solutions for high user densities. The results show that make splitting decisions by considering renewable energy provides more cost-effective solutions to mobile network operators (MNOs). Lastly, we provide an economic feasibility study for renewable energy sources in a CRAN architecture, which will encourage the MNOs to use these sources in this architecture.



中文翻译:

云无线电接入网中的可再生能源辅助功能拆分

云无线电接入网络(C-RAN)是一种有前途的网络体系结构,可以减少能耗并减少移动网络中基站部署成本的增加。但是,远程无线头与基带单元(BBU)之间必须具有巨大的前传带宽,因此需要新颖的解决方案。其中一种解决方案除了集中式云(CC)之外还引入了边缘云层,以使资源更靠近无线电单元(RU)。然后,在中心云(CC)和边缘云(EC)之间拆分BBU功能,以减少前传带宽要求并放宽严格的端到端延迟要求。本文通过将其与CC和EC中的可再生能源相结合来扩展此体系结构。我们将解释这个新颖的系统,并提出一个混合整数线性规划(MILP)问题,目的是减少该系统的运营支出。由于此问题的NP-Hard属性,我们使用MILP求解器解决了较小的实例,并在本文中提供了结果。此外,我们提出了一种更快的在线试探法,以找到针对高用户密度的解决方案。结果表明,通过考虑可再生能源做出分裂决策为移动网络运营商(MNO)提供了更具成本效益的解决方案。最后,我们对CRAN架构中的可再生能源进行了经济可行性研究,这将鼓励MNO在此架构中使用这些能源。我们提出了一种更快的在线试探法,以找到针对高用户密度的解决方案。结果表明,通过考虑可再生能源做出分裂决策为移动网络运营商(MNO)提供了更具成本效益的解决方案。最后,我们对CRAN架构中的可再生能源进行了经济可行性研究,这将鼓励MNO在此架构中使用这些能源。我们提出了一种更快的在线试探法,以找到针对高用户密度的解决方案。结果表明,通过考虑可再生能源做出分裂决策为移动网络运营商(MNO)提供了更具成本效益的解决方案。最后,我们对CRAN架构中的可再生能源进行了经济可行性研究,这将鼓励MNO在此架构中使用这些能源。

更新日期:2020-05-26
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