Power allocation game for fading MIMO multiple access channels with antenna correlation

Abstract : In this contribution, a power allocation game for multi- ple input multiple output multiple access channels is provided. Considering competing transmitting users, equipped with several antennas each and common multiple antennas at the receiver (base station), a game theoretic framework is conducted to analyze the optimum precoding matrices (power allocation and eigenvector transmit structure) such that each user maximizes sel¯shly his own rate under a power constraint (assuming single user decoding at the receiver). Interestingly, as the dimensions of the system grow i.e the numbers of transmitting and receiving antennas grow to in¯nity but their ratio stays constant, a Nash equilibrium is shown to exist and be unique. The results are based on random matrix theory and provide, in the asymptotic case, a closed-form expression of the Nash equilibrium operating point. Each terminal can compute the power allocation independently based only on the knowledge of the statistics of the channel (spatial correlation structure at the transmitter and the receiver) and not its instantaneous realizations. This reduces dramatically the downlink overhead signaling protocol, which becomes important as the number of users grow. The asymptotic claims are then validated through simulations using only a ¯nite number of antennas.
Type de document :
Communication dans un congrès
International Workshop on Game theory for Communication networks 2007, Oct 2007, Nantes, France. pp.Annals, 2007
Liste complète des métadonnées

https://hal-supelec.archives-ouvertes.fr/hal-00280788
Contributeur : Samir Medina Perlaza <>
Soumis le : lundi 19 mai 2008 - 17:07:09
Dernière modification le : jeudi 5 avril 2018 - 12:30:04

Identifiants

  • HAL Id : hal-00280788, version 1

Collections

Citation

Samson Lasaulce, Alberto Suarez, Merouane Debbah, Laura Cottatellucci. Power allocation game for fading MIMO multiple access channels with antenna correlation. International Workshop on Game theory for Communication networks 2007, Oct 2007, Nantes, France. pp.Annals, 2007. 〈hal-00280788〉

Partager

Métriques

Consultations de la notice

291