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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-01152018-103525


Tipo di tesi
Tesi di laurea magistrale
Autore
GAGLIARDI, ALESSIO
URN
etd-01152018-103525
Titolo
MODELLING AND ANALISYS OF PHYSICAL LAYER FOR V2X CONNECTED TRANSPORTATION SYSTEMS
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA ROBOTICA E DELL'AUTOMAZIONE
Relatori
relatore Prof. Saponara, Sergio
Parole chiave
  • V2X
  • multipath
  • IEEE 802.11p
  • wireless communication
Data inizio appello
22/02/2018
Consultabilità
Completa
Riassunto
Robots and intelligent systems are envisioned to coexist with humans and to fulfil various kinds of tasks. In the last few years there has been a substantial progress in the field of robotics. Special attention is given to mobile robots, since they have the capability to navigate in their environment and are not fixed to one physical location. The main challenges to be considered here are not only that the robots should be able to go over long distances and operate for relatively long periods, but also to send information of sensors and react remotely through a wireless communication system. Often, mobile robots are equipped with wireless network cards based on the IEEE 802.11 suite of protocols, that enable them to communicate through a MANET (Mobile Ad hoc NETwork). Working on the ground it was found that the development process of a systems, lacks of instruments for simulation and for the study of specification as the systems grow its complexity. Therefore, the goal of this work is to design a model for a communication system adopted in the automotive field: the IEEE 802.11p physical layer. The thesis is focused on developing a transceiver model of V2X (vehicle-to-everything) communication PHY based on IEEE 802.11p standard by MATLAB Simulations. In the final model is was considered: transmitting parameters (number of symbols transmitted, modulation type, SNR, etc) analog components (power of transmitter, gain antenna, noise figure etc.), scenarios (rural, urban, highway), propagation channel (multipath, path loss etc) etc. For testing the reliability of the model, we refer on BER versus SNR, PER versus SNR, goodput vs BER, latency statistics.
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