5G promises a significant increase in network performance, with the support of distributed cloud computing and other technologies. This can result in ten-fold improvements on latency and throughput compared to 4G. Wit...
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ISBN:
(纸本)9781728108933
5G promises a significant increase in network performance, with the support of distributed cloud computing and other technologies. This can result in ten-fold improvements on latency and throughput compared to 4G. With the adoption of 5G and its emerging specifications, network slicing will be important for the edge, thus giving ISPs the opportunity to easily support multi-tenancy, individual customers and use cases in order to meet each slice's unique SLA. This will result in intense traffic distribution at the edge of IP networks, creating a complex and heterogeneous network fabric. 5G network slicing will drive the need for the IP network to support data, control, and management planes separation across a multi-site network fabric, which should have a central view of network state. This knowledge and intelligence should be distributed across the whole fabric and, ideally, throughout the distributed cloud using Software-Defined Networking (SDN). In this paper, we present a summarized model of autonomous network that can be adherent to the 5G requirements regarding low latency, a very important question for 5G implementation. Then, we simulated an ad-hoc network with and without SDN technology in order to validate the latency improvement, and a traditional SDN network with datacommunication infrastructure to verify the average latency time. It was observed that the use of SDN technology provided better results, in terms of latency and packet delivery rate, when compared to other network protocols. And the pure SDN network with datacommunication infrastructure presented an average latency of 0.039 ms.
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