论文标题
云无线电访问网络中可再生能源辅助功能分裂
Renewable Energy Assisted Function Splitting in Cloud Radio Access Networks
论文作者
论文摘要
Cloud-Radio访问网络（C-RAN）是一种有希望的网络体系结构，可减少移动网络中基站部署成本的增加。但是，在远程无线带和基带单元（BBU）之间需要巨大的领先带宽的必要性要求新的解决方案。其中一种解决方案除了集中式云（CC）外，还引入了边缘云层，以使资源更接近无线电单元（RUS）。然后，将BBU函数分配在中心云（CC）和边缘云（ECS）之间，以减少Fronthaul带宽要求并放松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该体系结构。我们解释了这个新颖的系统，并制定了混合企业线性编程（MILP）问题，该问题旨在减少该系统的运营支出。由于此问题的NP硬性属性，我们通过使用MILP求解器来解决较小的实例，并在本文中提供结果。此外，我们提出了一个更快的在线启发式方法，以找到用于高用户密度的解决方案。结果表明，通过考虑可再生能源为移动网络运营商（MNOS）提供了更具成本效益的解决方案来做出分裂决策。最后，我们为Cran架构中的可再生能源提供了一项经济可行性研究，这将鼓励MNO在该体系结构中使用这些来源。
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.
