2021/10/12 by Ibrahim Tamim, Tamim, Ibrahim, Anas Saci +5
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #Energy Harvesting in Wireless Networks
paper · pdf · doi:10.48550/arxiv.2110.06060
Due to the huge surge in the traffic of IoT devices and applications, mobile\nnetworks require a new paradigm shift to handle such demand roll out. With the\n5G economics, those networks should provide virtualized multi-vendor and\nintelligent systems that can scale and efficiently optimize the investment of\nthe underlying infrastructure. Therefore, the market stakeholders have proposed\nthe Open Radio Access Network (O-RAN) as one of the solutions to improve the\nnetwork performance, agility, and time-to-market of new applications. O-RAN\nharnesses the power of artificial intelligence, cloud computing, and new\nnetwork technologies (NFV and SDN) to allow operators to manage their\ninfrastructure in a cost-efficient manner. Therefore, it is necessary to\naddress the O-RAN performance and availability challenges autonomously while\nmaintaining the quality of service. In this work, we propose an optimized\ndeployment strategy for the virtualized O-RAN units in the O-Cloud to minimize\nthe network's outage while complying with the performance and operational\nrequirements. The model's evaluation provides an optimal deployment strategy\nthat maximizes the network's overall availability and adheres to the\nO-RAN-specific requirements.\n