Sistema ETD

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Tesi etd-07032009-104202


Tipo di tesi
Tesi di laurea specialistica
Autore
ANDREOTTI, RICCARDO
Indirizzo email
riccardoandreotti@hotmail.com
URN
etd-07032009-104202
Titolo
Resource Allocation Strategies Based on Ant Colony Optimization for Next Generation OFDMA Wireless Systems
Struttura
INGEGNERIA
Corso di studi
INGEGNERIA DELLE TELECOMUNICAZIONI
Commissione
relatore Ing. Lottici, Vincenzo
relatore Ing. Stupia, Ivan
relatore Prof. Giannetti, Filippo
Parole chiave
  • OFDMA
  • 4G Wireless Systems
  • Goodput
  • Resource Allocation
  • Ant Colony Optimization
Data inizio appello
20/07/2009;
Consultabilità
completa
Riassunto analitico
Next generation wireless systems aim at providing an high spectral efficiency, with indoor traffic up to 1 Gbit/s and outdoor traffic up to 100 Mbit/s, offering, at the same time, several multimedia applications, each one marked by its own QoS. In such a dynamic situation, where the number of users, the type of applications and the channel conditions of each user vary rapidly, raises the problem of how efficiently manage the system resources in order to satisfy these requirements. In this thesis a new approach based on ant colony optimization is proposed to solve the resource allocation problem with goodput as objective function.
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