## Tesi etd-04042008-091601 |

Thesis type

Tesi di dottorato di ricerca

Author

BACCI, GIACOMO

email address

giacomo.bacci@iet.unipi.it

URN

etd-04042008-091601

Title

Distributed Power Control Techniques Based on Game Theory for Wideband Wireless Networks

Settore scientifico disciplinare

ING-INF/03

Corso di studi

INGEGNERIA DELL'INFORMAZIONE

Supervisors

**Relatore**Prof. Luise, Marco

Parole chiave

- Pareto optimality
- Nash equilibrium
- multiple access techniques
- large-system analysis
- impulse radio (IR)
- game theory
- frequency-selective multipath
- energy-efficiency
- distributed algorithms
- code division multiple access (CDMA)
- power control
- Rake receivers
- resource allocation
- ultrawideband (UWB)

Data inizio appello

10/06/2008;

Consultabilità

Completa

Riassunto analitico

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.

File

Nome file | Dimensione |
---|---|

Bacci_PhDThesis.pdf | 1.06 Mb |

Contatta l'autore |