Distributed Dynamic Pricing for MIMO Interfering Multiuser Systems: A Unified Approach

Abstract : Wireless networks are composed of many users that usually have conflicting objectives and generate interference to each other. The system design is typically formulated as the optimization of the weighted sum of the users' utility functions. In an attempt to obtain distributed algorithms in the case this sum is nonconvex, researchers have proposed pricing mechanisms which however are based on heuristics and valid only for a restricted class of problems. In this paper we propose a general framework for the distributed optimization of the nonconvex sum-utility function. Our main contributions are: i) the derivation for the first time of a general dynamic pricing mechanism, ii) a framework that can be easily particularized to well-known applications, giving rise to very efficient practical algorithms that outperform existing methods; and iii) the solution to the currently open problem of social optimization for MIMO multiuser systems.
Type de document :
Communication dans un congrès
Roberto Cominetti and Sylvain Sorin and Bruno Tuffin. NetGCOOP 2011 : International conference on NETwork Games, COntrol and OPtimization, Oct 2011, Paris, France. IEEE, 2011
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00644078
Contributeur : Service Ist Inria Sophia Antipolis-Méditerranée / I3s <>
Soumis le : mercredi 23 novembre 2011 - 15:13:55
Dernière modification le : mercredi 23 novembre 2011 - 17:29:05
Document(s) archivé(s) le : dimanche 4 décembre 2016 - 15:04:02

Fichier

22-PID2132103.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00644078, version 1

Collections

Citation

Gesualdo Scutari, Daniel Palomar, Francisco Facchinei, Jong-Shi Pang. Distributed Dynamic Pricing for MIMO Interfering Multiuser Systems: A Unified Approach. Roberto Cominetti and Sylvain Sorin and Bruno Tuffin. NetGCOOP 2011 : International conference on NETwork Games, COntrol and OPtimization, Oct 2011, Paris, France. IEEE, 2011. 〈hal-00644078〉

Partager

Métriques

Consultations de la notice

123

Téléchargements de fichiers

143