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Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network

机译:多维资源整合为服务实验示范在云光纤无线电网络供应

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摘要

Cloud radio access network (C-RAN) becomes a promising scenario to accommodate high-performance services with ubiquitous user coverage and real-time cloud computing in 5G area. However, the radio network, optical network and processing unit cloud have been decoupled from each other, so that their resources are controlled independently. Traditional architecture cannot implement the resource optimization and scheduling for the high-level service guarantee due to the communication obstacle among them with the growing number of mobile internet users. In this paper, we report a study on multi-dimensional resources integration (MDRI) for service provisioning in cloud radio over fiber network (C-RoFN). A resources integrated provisioning (RIP) scheme using an auxiliary graph is introduced based on the proposed architecture. The MDRI can enhance the responsiveness to dynamic end-to-end user demands and globally optimize radio frequency, optical network and processing resources effectively to maximize radio coverage. The feasibility of the proposed architecture is experimentally verified on OpenFlow-based enhanced SDN testbed. The performance of RIP scheme under heavy traffic load scenario is also quantitatively evaluated to demonstrate the efficiency of the proposal based on MDRI architecture in terms of resource utilization, path blocking probability, network cost and path provisioning latency, compared with other provisioning schemes.
机译:云无线电接入网络(C-RAN)成为一个有希望的方案,以适应高性能服务,在5G区域中具有普遍存在的用户覆盖和实时云计算。然而,无线电网络,光网络和处理单元云已经彼此分离,因此它们的资源被独立控制。由于越来越多的移动互联网用户,传统的架构无法实现高级服务保证的资源优化和调度。在本文中,我们向云无线电网络(C-ROFN)进行了多维资源集成(MDRI)的研究。使用辅助图的资源集成供应(RIP)方案是基于所提出的架构。 MDRI可以提高动态端到端用户需求的响应能力,并有效地实现射频,光网络和处理资源以最大化无线电覆盖。建议架构的可行性在实验上验证了基于OpenFlow的增强SDN测试用过的。 RIP方案在繁忙的交通负荷方案下的性能也被定量地评估,以展示基于MDRI架构在资源利用率,路径阻塞概率,网络成本和路径供应延迟的基于MDRI架构的提案的效率,与其他配置方案相比。

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