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Energy efficiency using cloud management of LTE networks employing fronthaul and virtualized baseband processing pool

机译:使用采用前传和虚拟化基带处理池的LTE网络的云管理实现能源效率

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摘要

The cloud radio access network (C-RAN) emerges as one of the future solutions to handle the ever-growing data traffic, which is beyond the physical resources of current mobile networks. The C-RAN decouples the traffic management operations from the radio access technologies, leading to a new combination of a virtualized network core and a fronthaul architecture. This new resource coordination provides the necessary network control to manage dense Long-Term Evolution (LTE) networks overlaid with femtocells. However, the energy expenditure poses a major challenge for a typical C-RAN that consists of extended virtualized processing units and dense fronthaul data interfaces. In response to the power efficiency requirements and dynamic changes in traffic, this paper proposes C-RAN solutions and algorithms that compute the optimal backup topology and network mapping solution while denying interfacing requests from low-flow or inactive femtocells. A graph-coloring scheme is developed to label new formulated fronthaul clusters of femtocells using power as the performance metric. Additional power savings are obtained through efficient allocations of the virtualized baseband units (BBUs) subject to the arrival rate of active fronthaul interfacing requests. Moreover, the proposed solutions are used to reduce power consumption for virtualized LTE networks operating in the Wi-Fi spectrum band. The virtualized network core use the traffic load variations to determine those femtocells who are unable to transmit to switch them off for additional power savings. The simulation results demonstrate an efficient performance of the given solutions in large-scale network models.
机译:云无线电接入网络(C-RAN)成为处理不断增长的数据流量的未来解决方案之一,而这超出了当前移动网络的物理资源。 C-RAN使流量管理操作与无线电访问技术脱钩,从而带来了虚拟化网络核心和前传架构的新组合。这种新的资源协调提供了必要的网络控制,以管理覆盖有毫微微小区的密集长期演进(LTE)网络。但是,对于由扩展的虚拟化处理单元和密集的前传数据接口组成的典型C-RAN,能源消耗构成了重大挑战。为响应功率效率要求和流量的动态变化,本文提出了C-RAN解决方案和算法,该算法和算法可计算最佳的备份拓扑和网络映射解决方案,同时拒绝来自低流量或非活动毫微微小区的接口请求。开发了一种图形着色方案,以使用功率作为性能指标来标记新制定的毫微微小区前传群集。通过有效分配虚拟化的基带单元(BBU),有效的前传接口请求的到达速率,可以节省更多的功率。此外,所提出的解决方案用于减少在Wi-Fi频段中运行的虚拟LTE网络的功耗。虚拟网络核心使用流量负载变化来确定那些无法传输的毫微微小区,以关闭它们以节省更多电量。仿真结果证明了给定解决方案在大规模网络模型中的高效性能。

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