Software-Defined Wide Area Network (SD-WAN) holds tremendous potential to provide multi-cloud multi-network interconnection and prevent channel congestion. However, traffic among Customer Premises Edge (CPE) and controllers continuously increases, requiring pre-emptive load balancing in the control plane. In this paper problem in SD-WANs when the controller presents a limited processing capacity. Specifically, the data plane may include one or more CPE deployed at a site where service traffic is forwarded. To address this narrow, we propose a new approach based on a Deep Reinforcement Learning (DRL) strategy to optimize the balancing process under a latency constraint. As far as we can tell, we have not observed any pertinent research published in this context. The obtained simulation results revealed that our proposed approach decreases the load balancing and outperforms other baseline methods.
5G is the next mobile generation, already being deployed in some countries. It is expected to revolutionize our society, having extremely high target requirements. The use of spectrum is, therefore, tremendously important, as it is a limited and expensive resource. A solution for the spectrum efficiency consists of the use of dynamic spectrum sharing, where an operator can share the spectrum between two different technologies. In this paper, we studied the concept of dynamic spectrum sharing between LTE and 5G New Radio. We presented a solution that allows operators to offer both LTE and New Radio services using the same frequency bands, although in an interleaved mode. We evaluated the performance, in terms of throughput, of a communication system using the dynamic spectrum sharing feature. The results obtained led to the conclusion that using the dynamic spectrum sharing comes with a compromise of a maximum 25% loss on throughput. Nevertheless, the decrease is not that substantial, as the mobile network operator does not need to buy an additional 15 MHz of bandwidth, using the already existing bandwidth of LTE to offer 5G services, leading to cost reduction and an increase in spectrum efficiency.
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