Μελέτη και σύγκριση αλγορίθμων μηχανικής μάθησης για εκτίμηση ασύρματων καναλιών σε έξυπνες ανακλαστικές επιφάνειες και UAVs

Σουλιώτης, Ιωάννης

Master Thesis

Author

Σουλιώτης, Ιωάννης

Date

2024-09

Abstract

Next-Generation Cellular Systems: Enhancing High-Frequency Communication with Mobile Reflectors As cellular networks evolve to meet growing capacity demands, high-frequency waves (such as mmWave) are increasingly utilized. However, these high-frequency links are highly susceptible to blockages from common objects, including trees and people, which cause signal attenuation and disrupt connectivity. To address this, both fixed and mobile (or intelligent) reflectors have been proposed as solutions. A mobile intelligent reflector, such as an unmanned aerial vehicle (UAV), is particularly effective in enhancing mmWave communication. Unlike fixed reflectors, mobile reflectors can dynamically adjust their positions in real time, responding to environmental changes and maintaining line-of-sight (LOS) connections between transmitters and receivers. This adaptability makes mobile reflectors more suitable for sustaining robust and reliable high-frequency communications in complex environments, marking a significant advancement in next-generation cellular systems.

Postgraduate Studies Programme

Πληροφοριακά Συστήματα και Υπηρεσίες

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών Συστημάτων

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/16986
http://dx.doi.org/10.26267/unipi_dione/4408

Collections

Τμήμα Ψηφιακών Συστημάτων

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα