Multiuser resource allocation maximizing the perceived quality

Abstract

Multiuser resource allocation for time/frequency slotted wireless communication systems is addressed. A framework for application driven cross-layer optimization (CLO) between the application (APP) layer and medium access control (MAC) layer is developed. The objective is to maximize the user-perceived quality by jointly optimizing the rate of the information bit-stream served by the APP layer and the adaptive resource assignment on the MAC layer. Assuming adaptive transmission with long-term channel state information at the transmitter (CSIT), we present a novel CLO algorithm that substantially reduces the amount of parameters to be exchanged between optimizer and layers. The proposed CLO framework supports user priorities where premium users perceive a superior service quality and have a higher chance to be served than ordinary users.