User satisfaction-based resource allocation for GEO satellites

In recent work we have introduced and evaluated a fair and dynamic joint Call Admission Control (CAC) and Multiple Access Control (MAC) framework, for Geostationary Orbit (GEO) Satellite Systems, named Fair Predictive Resource Reservation Access (FPRRA). The framework was based on accurate videoconference and data traffic prediction, made decisions after taking into account the provider's revenue, and was shown to be highly efficient. In this paper we enhance FPRRA by talking into account the users' satisfaction for making scheduling decisions and we focus on its evaluation in the absence of accurate MPEG-4 and H.264 video traffic modeling. In addition, we discuss the efficiency of our proposed scheme in comparison to other efficient schemes from the literature

User satisfaction-based resource allocation for GEO satellites

Summarization: In recent work we have introduced and evaluated a fair and dynamic joint Call Admission Control (CAC) and Multiple Access Control (MAC) framework, for Geostationary Orbit (GEO) Satellite Systems, named Fair Predictive Resource Reservation Access (FPRRA). The framework was based on accurate videoconference and data traffic prediction, made decisions after taking into account the provider's revenue, and was shown to be highly efficient. In this paper we enhance FPRRA by talking into account the users' satisfaction for making scheduling decisions and we focus on its evaluation in the absence of accurate MPEG-4 and H.264 video traffic modeling. In addition, we discuss the efficiency of our proposed scheme in comparison to other efficient schemes from the literature.Παρουσιάστηκε στο: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Network