Energy Efficiency Using Cloud Management of LTE Networks Employing Fronthaul and Virtualized Baseband Processing Pool
Energy Efficiency Using Cloud Management of LTE Networks Employing Fronthaul and Virtualized Baseband Processing Pool
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DOI：
10.1109/tcc.2016.2564405
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发表时间：
2019-04
影响因子：
6.5
通讯作者：
A. Al-Dulaimi;Saba Al-Rubaye;Q. Ni
中科院分区：
文献类型：
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作者：
A. Al-Dulaimi;Saba Al-Rubaye;Q. Ni
云无线接入网络（C-RAN）作为未来解决方案之一出现，以处理不断增长的数据业务，这超出了当前移动的网络的物理资源。C-RAN从无线电接入技术中分离出流量管理操作，从而实现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。然而，能量消耗对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构成了重大挑战。为了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，其计算最佳备份拓扑和网络映射解决方案，同时拒绝来自低流量或不活动的毫微微小区的接口请求。一个图形着色方案的开发标记新制定的前传集群的毫微微蜂窝基站使用功率作为性能指标。通过根据主动前传接口请求的到达速率有效分配虚拟化基带单元（BBU）来获得额外的功率节省。此外，所提出的解决方案用于降低在Wi-Fi频谱带中操作的虚拟化LTE网络的功耗。虚拟化网络核心使用流量负载变化来确定那些无法进行传输的毫微微蜂窝基站，以将其关闭，从而实现额外的功率节省。仿真结果表明，在大规模的网络模型中的给定的解决方案的有效性能。
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.