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Nex-Tech Wireless Partners With Ericsson To Keep Kansans Connected With Innovative Technologies

Nex-Tech Wireless Partners With Ericsson To Keep Kansans Connected With Innovative Technologies
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New York , United States , Jon Lightle , Eric Boudriau , Enterprise Wireless Solutions , Radio Access Network , Global Communications Platform , Ericsson Network Function Virtualization Infrastructure , Cloud Software , Virtualized Network Functions Vnfs , Nex Tech Wireless , Keep Kansans Connected , Vice President , Customer Unit Regional Customers , Ericsson North , Cloud Native , Network Function Virtualization Infrastructure , Cloud Native Infrastructure , Virtualized Network Functions , Cloud Native Functions , Nasdaq Stockholm , Nasdaq New ,

Ericsson, Nex-Tech Wireless Collaborate in Technological Innovation

Ericsson, Nex-Tech Wireless Collaborate in Technological Innovation
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United States , Jon Lightle , Eric Boudriau , Virtualized Network Functions Vnfs , Ericsson Network Function Virtualization Infrastructure , Radio Access Network , Nex Tech Wireless , Cloud Native , Network Function Virtualization Infrastructure , Cloud Native Infrastructure , Virtualized Network Functions , Cloud Native Functions , Keep Kansans , Vice President , Customer Unit Regional Customers , Ericsson North ,

"Multi-UAVs Network Design Algorithms for Computed Rate Maximization" by Kefeng Wu, Kwan Wu Chin et al.

This paper considers a network design problem using Unmanned Aerial Vehicles (UAVs). It aims to create a network to provide communication and computation service to a set of source-destination ground node pairs. The main performance metric is the minimum amount of computed data among a set of source-destination pairs. To optimize this metric, we outline two mixed Integer Linear Programs (MILPs), namely S-MILP and NS-MILP, which are designed respectively for splittable and non-splittable traffic flow models. They jointly optimize the placement of UAVs, assignment of Virtualized Network Functions (VNFs), and routing of unprocessed and processed flow. Further, NS-MILP optimizes the path selection of each source-destination pair. A key challenge is that these MILPs require an exhaustive collection of network topologies. To this end, this paper outlines two heuristic algorithms, called Resource-Aware Location Selection (RALS) and Resource-Aware Path and Location Selection (RAPLS), respectiv ....

Virtualized Network Functions Vnfs , Unmanned Aerial Vehicles , Integer Linear Programs , Virtualized Network Functions , Resource Aware Location Selection , Resource Aware Path , Location Selection , Autonomous Aerial Vehicles , Computational Modeling , Inimax Techniques , Ulti Commodity Flow , Network Topology , Virtual Machines ,

More traffic, less carbon—what we'll see in 2024 (Reader Forum)

More traffic, less carbon—what we'll see in 2024 (Reader Forum)
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United States , Virtualized Network Functions Vnfs , Information Communication Technology , North America , Virtualized Network Functions ,