Fast on-demand 5G connectivity can be deployed through the usage of aerial platforms. Indeed, the usage of moving nodes represents at the moment the most interesting and cost-affordable way to bring connectivity and network services in emergency scenarios or in the absence of the network infrastructure. This article presents an architecture for using drones as movable base stations, interconnected with a high altitude platform, capable of deploying multi-access edge computing following current ETSI standards. Moreover, a reinforcement learning algorithm is proposed to enable proper resource allocation in order to guarantee QoS requirements.
Data sets for manuscript, "14-3-3 proteins promote synaptic localization of N-methyl d-aspartate receptors (NMDARs) in mouse hippocampal and cortical neurons"
6G attempts to provide a network that seamlessly integrates terrestrial, air, and satellite networks. 6G3D network has proven to be highly advantageous in remote and rural areas, where terrestrial network deployment is complex or unfeasible due to network infrastructure constraints. However, such a 3D network is highly dynamic and resource-constrained, making task scheduling critical. Based on 6G's vision, the 3D network is to be operated with in-network intelligence, and many papers have proved that deep reinforcement learning (DRL) can improve task scheduling performance. However, they have not covered the online process for the on-demand or fast-deployed 3D network for 6G. This paper proposes an online DRL-based task scheduling algorithm, namely 3D-TS. The simulation results show that the DRL-based task scheduling algorithm improves scheduling quality by increasing training data in 3D networks while balancing scheduling quality and efficiency.
In the late Qing dynasty (1644–1911), local gazetteer maps helped to disseminate the innovations of longitude and latitude used in Western cartography. The use of longitude and latitude lines alongside the traditional Chinese cartographic method of "grid scales" suggests that mapmakers chose an ingenious compromise to accommodate new knowledge alongside traditional practices.
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