Drones Free Full Text Resource Management In 5g Networks Assisted The rapid growth of data traffic due to the demands of new services and applications poses new challenges to the wireless network. unmanned aerial vehicles (uavs) can be a solution to support wireless networks during congestion, especially in scenarios where the region has high traffic peaks due to the temporal and spatial flow of users. in this paper, an intelligent machine learning based. Search text. search type . add circle outline francês, c.r.l. resource management in 5g networks assisted by uav base stations: machine learning for overloaded.
Drones Free Full Text A Resource Friendly Certificateless Proxy As 5g networks and iot develop rapidly, countless promising applications and services are emerging, including a high definition (hd) livestream, autonomous driving, industrial automation and virtual reality, which will take advantage of the benefits that 5g networks will offer, including extremely high data rates, reduced latency, enhanced reliability and large scale connectivity []. Network slicing has advanced rapidly in recent years, giving unique strategies for efficient resource management schemes in upcoming 5g or 5th generation of communication networks. the virtualization of radio access network (ran) resources is one of the most significant integration that allow the operators to explore the concept of network. The dynamic management of network resources is both a critical and challenging task in upcoming multi tenant mobile networks, which requires allocating capacity to individual network slices so as. The article in [223] provides a comprehensive survey on uav assisted wireless networks resource management from an optimization perspective covering the classification, benefits, and applications.
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