论文标题
格罗夫：下一代无线电访问网络的以太网架构上的成本效益的绿色无线电
GROVE: A Cost-Efficient Green Radio over Ethernet Architecture for Next Generation Radio Access Network
论文作者
论文摘要
集中式/云无线电访问网络（C-RAN）逐渐突出，以减少下一代网络的能源消耗和维护困难。但是，C-RAN具有严格的延迟要求，并且需要大型领先带宽。通过以太网上的功能分裂和无线电是减少C-RAN体系结构的这些缺点的两种有希望的方法。同时，在C-RAN中使用可再生能源（RESS）可以提高该网络的能源效率潜力。在本文中，我们提出了一种新颖的模型，该模型称为“绿色无线电”（Green Radio of Ethernet）（Grove）（Grove），该模型合并了这三种方法，以最大程度地利用C-Ran的好处，同时保持这种建筑的经济可行性。我们简要解释了该模型，并通过考虑由于网络设计和服务提供的几个限制来制定运营支出最小化问题。然后，我们将问题中的二次路由决策限制线性化，以使用混合构成线性编程（MILP）求解器解决该决策。结果表明，一起选择路由，功能分割和共同决策是具有成本效益的。对于所有研究案例，我们的解决方案都超过了经典的分离方法。此外，我们提供网络可伸缩性分析，以确定MILP求解器的较大网络拓扑的限制。
Centralized/Cloud Radio Access Network (C-RAN) comes into prominence to reduce the rising energy consumptions and maintenance difficulties of the next-generation networks. However, C-RAN has strict delay requirements, and it needs large fronthaul bandwidth. Function splitting and Radio over Ethernet are two promising approaches to reduce these drawbacks of the C-RAN architecture. Meanwhile, the usage of renewable energy sources (RESs) in a C-RAN boosts the energy-efficiency potential of this network. In this paper, we propose a novel model, which is called Green Radio OVer Ethernet (GROVE), that merges these three approaches to maximize the benefits of C-RAN while maintaining the economic feasibility of this architecture. We briefly explain this model and formulate an operational expenditure minimization problem by considering the several restrictions due to the network design and the service provisioning. Then we linearize the quadratic routing decision constraints in the problem to solve it with a mixed-integer linear programming (MILP) solver. Results show that it is cost-effective to choose routing, function splitting, and RES decisions together. Our solution surpasses classical disjoint approaches for all studied cases. Besides, we provide a network scalability analysis to determine the MILP solver's limits for larger network topologies.
