ETD system

Electronic theses and dissertations repository

 

Tesi etd-02012011-222959


Thesis type
Tesi di laurea specialistica
Author
FONTANA, VALENTINA
URN
etd-02012011-222959
Title
Channel Assignment in Cognitive Networks: A Physical Layer Approach
Struttura
INGEGNERIA
Corso di studi
INGEGNERIA INFORMATICA
Commissione
relatore Prof. Lenzini, Luciano
relatore Ing. Gardellin, Vanessa
relatore Prof. Prete, Cosimo Antonio
Parole chiave
  • cognitive networks
  • channel assignment
Data inizio appello
04/03/2011;
Consultabilità
parziale
Data di rilascio
04/03/2051
Riassunto analitico
Due to increasing number of wireless services and applications, unlicensed spectrum bands results be too much crowded.
Cognitive Radio Networks (CRNs) try to solve this problem, named spectrum overcrowding, allocating licensend spectrum chunks unused by legitimate users.
IEEE 802.22 standard suggestes to use Digital TV (DTV) channels for this purpose. In this scenario, each Wireless Regional Area Network (WRAN) chooses randomly a channel to use among all channels identified as free.
In this work, we want to characterize each DTV channel in order to choose the best one for each WRAN. In order to do that, we analyze IEEE 802.22 physical layer to describe each channel through its Signal to Interference and Noise Ratio (SINR) and its maximum capacity.
Using this classification, we propose a channel assignment algorithm to improve network performances.
File