Dépôt numérique
RECHERCHER

La gestion des ressources radio dans les systèmes satellitaires.

Téléchargements

Téléchargements par mois depuis la dernière année

Plus de statistiques...

Nguyen, Dai (2016). La gestion des ressources radio dans les systèmes satellitaires. Mémoire. Québec, Université du Québec, Institut national de la recherche scientifique, Maîtrise en télécommunications, 83 p.

[thumbnail of Nguyen, Dai.pdf]
Prévisualisation
PDF
Télécharger (3MB) | Prévisualisation

Résumé

Due to the constantly growing satellite traffic, more and more satellites have been launched into the orbit. This leads to rising congestion on both the earth orbit and radio spectrum, which results in increasing radio-frequency interference (RFI) in the satellites communications. Moreover, spectrum reuse for communications in different beams of multibeam satellites, which generates co-channel interference, can result in degradation of communication reliability and performance if the interference is not managed appropriately. To tackle the interference mitigation and better exploit satellite radio resources, we have proposed some advanced resource allocation techniques for satellite communications. Specifically, we have developed radio resource management frameworks in two satellite communications settings, namely the single satellite system and the co-existing dual satellite system. For the single multi-beam satellite system, we have studied the joint beamforming, carrier allocation, and user scheduling problem which aims to maximize the system sum rate and sum utility. To tackle the two underlying problems, two corresponding iterative resource allocation algorithms have been developed. In both algorithms, the advanced weighted minimum mean square error (WMMSE) beamforming scheme has been employed to determine the beamformers based on which carrier allocation and user scheduling design can be addressed. Extensive numerical results have demonstrated the efficiency and desirable performance of the proposed algorithms. For the co-existing dual satellite system, a cognitive radio based reverse-link resource allocation framework has been developed where the two satellites have been treated as the primary and secondary satellites, respectively. The resource allocation design for this setting involves the optimization of power allocation and users’ antenna angles to maximize the average system sum rate considering maximum power and interference protection constraints. To accomplish this design, we have derived the optimal power allocation solution for given secondary users’ angles and derived the optimal secondary users’ angles for a given power allocation solution. Then, we have proposed an iterative resource allocation algorithm based on these derivations to address the considered problem. Finally, we have carried out numerical studies to investigate the performance of the proposed algorithm which have confirmed the performance superiority of the proposed algorithm compared to other conventional resource allocation approaches.

Type de document: Thèse Mémoire
Directeur de mémoire/thèse: Le, Long Bao
Mots-clés libres: ressources radio; systèmes satellitaires; interférences; allocation des ressources radio; communications satellitaires; erreur quadratique moyenne pondérée avancée; MISO satellites à faisceaux multiples;
Centre: Centre Énergie Matériaux Télécommunications
Date de dépôt: 26 avr. 2017 13:44
Dernière modification: 26 avr. 2017 13:44
URI: https://espace.inrs.ca/id/eprint/5120

Gestion Actions (Identification requise)

Modifier la notice Modifier la notice