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. With the rapid evolution of internet of things and mobile internet, the fifth generation of mobile networks (5G) has become a next major phase of mobile telecommunications 1 , which is able to implement a future with both user-services and machine-type communications where access to information and sharing of data is available anywhere and anytime 2 . It is well-known that a very high system throughput of up to 1000 times today's throughput will be required by 2020 for large-scale 5G networks with the development of system scale and user requirement 3 . To cope with the problem, the cloud radio access network (C-RAN) is a paradigm introduced by operators 4 which aggregates all base stations computational resources into a cloud baseband unit (BBU) pool, while the distributed radio frequency signals are collected by remote radio head (RRH) and transmitted to the cloud platform through optical transmission 5 . A RRH executes radio frequency functionalities of a base station, while the BBU handles base band processing functions. It aims to reduce capital and operating expenditure and enhance real-time cloud computing while offering better services 6 . Recently, the interaction between RRH and BBU or resource schedule among BBUs in cloud have become more frequent and complex due to the exponentially growing number of mobile internet users, drastically increased mobile applications and more data-rich Internet content 7 . Due to the diversity and hugeness of the user demands, a large number of high-performance services have presented the high burstiness and high heterogeneity characteristics, especially for multi-rate traffic in fronthaul. The simplified optical transmission has become the bottleneck of information interaction in traditional C-RAN structure. The heavy-duty interaction caused by services promotes the networking demand among RRHs and BBUs and forces to form elastic optical fiber switching and networking 8 due to the characteristics of high bandwidth, low cost and transparent transmission. On the other hand, evolving from wavelength division multiplex, elastic optical network (EON) with
In REF , the authors studied a multi-dimensional resource integration (MDRI) technique for service provisioning in C-RoFN.
Experimental demonstration of multi-dimensional resources integration for service provisioning in cloud radio over fiber network
Scientific Reports
Scientific Reports
Computer Science Medicine