Yang Hui, Zhang Jie, Ji Yuefeng, He Yongqi, Lee Young
State Key Laboratory of Information Photonics and Optical Communication, Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Beijing, 100876, China.
State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University, Beijing, 518129, China.
Sci Rep. 2016 Jul 28;6:30678. doi: 10.1038/srep30678.
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.
云无线接入网络（C-RAN）成为一种很有前景的场景，可在5G领域实现具有普遍用户覆盖和实时云计算的高性能服务。然而，无线网络、光网络和处理单元云已相互解耦，因此它们的资源是独立控制的。随着移动互联网用户数量的增加，由于它们之间存在通信障碍，传统架构无法实现用于高级服务保障的资源优化和调度。在本文中，我们报告了一项关于光纤网络云无线（C-RoFN）中用于服务提供的多维资源整合（MDRI）的研究。基于所提出的架构，引入了一种使用辅助图的资源整合提供（RIP）方案。MDRI可以增强对动态端到端用户需求的响应能力，并有效地全局优化射频、光网络和处理资源，以最大化无线覆盖范围。所提出架构的可行性在基于OpenFlow的增强型软件定义网络测试平台上进行了实验验证。还对RIP方案在重流量负载场景下的性能进行了定量评估，与其他提供方案相比，以证明基于MDRI架构的方案在资源利用率、路径阻塞概率、网络成本和路径提供延迟方面的效率。
