QoE-oriented resource allocation in multiuser OFDM systems

Abstract

Quality of experience (QoE) is a widely accepted criteria to measure the satisfaction of users nowadays. In this paper, we investigate the QoE-oriented resource allocation in multiuser orthogonal frequency division multiplexing (OFDM) systems. The optimization objective is to maximize the minimum mean opinion score (MOS) of users that incorporates with subjective human perception of quality. Our general problem formulation leads to an intractable mixed integer programming problem. We first employ a two-step procedure to convert it into an equivalent convex form. Then we develop a fast algorithm to solve it efficiently, where the key is to replace the time-consuming Newton step updating with an approximate linear complexity algorithm. Numerical results show that our proposal can always work out optimal solutions. Moreover, the proposed algorithm converges quickly, indicating it promising for applications.