Graphical Modelling and Optimization of RAN function split deployed through UAVs

Mountaser, Ghizlane; Pardo, Enric; Mahmoodi, Toktam

doi:10.1016/j.comnet.2022.109266

Cited by 1 publication

(1 citation statement)

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“…For example, a group of researchers proposed a multiple access scheme in their paper [40] that involves a ground base station, a drone, and mobile terminals. Another study [41] introduced the use of air-to-ground (ATG) models to describe the path loss between flying base stations and ground user equipment, taking into account both Line-of-Sight and Non-Line-of-Sight conditions over the ATG channel. To enhance the overall network performance, particularly when working with drones, optimizing resource allocation through VNF chaining is a key approach.…”

Section: Scenariomentioning

confidence: 99%

A VNF-Chaining Approach for Enhancing Ground Network with UAVs in a Crowd-Based Environment

Bozzone,

Chessa,

Girolami

et al. 2023

2023 IEEE Symposium on Computers and Communications (ISCC)

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In the context of a smart city with a 5G mobile technology network and beyond, we propose a model using Unmanned Aerial Vehicles (UAVs) to carry Virtual Network Functions (VNFs).These UAVs support the network along with the existing fixed network infrastructure. To maximize the lifetime of the UAVs and consider resource constraints, we propose a Mixed Integer Linear Programming (MILP) model. In addition, we consider the network traffic generated by crowds at specific locations in the city. In this study, we address the issue of UAV deployment and evaluate our solution using a practical scenario, such as a Distributed Denial of Service (DDoS) detection system. Through experiments, we analyze the performance of our proposed solution and its impact on improving the system's ability to handle input streams in different use cases. The results demonstrate the effectiveness of our approach in improving the overall computational capability.

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Section: Scenariomentioning

confidence: 99%