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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-04042008-091601


Tipo di tesi
Tesi di dottorato di ricerca
Autore
BACCI, GIACOMO
Indirizzo email
giacomo.bacci@iet.unipi.it
URN
etd-04042008-091601
Titolo
Distributed Power Control Techniques Based on Game Theory for Wideband Wireless Networks
Settore scientifico disciplinare
ING-INF/03
Corso di studi
INGEGNERIA DELL'INFORMAZIONE
Relatori
Relatore Prof. Luise, Marco
Parole chiave
  • code division multiple access (CDMA)
  • distributed algorithms
  • energy-efficiency
  • frequency-selective multipath
  • game theory
  • impulse radio (IR)
  • large-system analysis
  • multiple access techniques
  • Nash equilibrium
  • Pareto optimality
  • power control
  • Rake receivers
  • resource allocation
  • ultrawideband (UWB)
Data inizio appello
10/06/2008
Consultabilità
Completa
Riassunto
This thesis describes a theoretical framework for the design and the analysis of distributed (decentralized) power control algorithms for high-throughput wireless networks using ultrawideband (UWB) technologies. The tools of game theory are shown to be expedient for deriving scalable, energy-efficient, distributed power control schemes to be applied to a population of battery-operated user terminals in a rich multipath environment. In particular, the power control issue is modeled as a noncooperative game in which each user chooses its transmit power so as to maximize its own utility, which is defined as the ratio of throughput to transmit power. Although distributed (noncooperative) control is known to be suboptimal with respect to the optimal centralized (cooperative) solution, it is shown via large-system analysis that the game-theoretic distributed algorithm based on Nash equilibrium exhibits negligible performance degradation with respect to the centralized socially optimal configuration. The framework described here is general enough to also encompass the analysis of code division multiple access (CDMA) systems and to show that UWB slightly outperforms CDMA in terms of achieved utility at the Nash equilibrium.
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