Since user experience plays a more and more important role in the development of today's communication systems, quality of experience (QoE) becomes a widely used metric, which reflects the subjective experience of end users for wireless services. In this paper, a QoE-driven radio resource allocation scheme is proposed for multi-user orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) networks. By introducing a QoE-based assessment model, our optimization task is formulated to maximize the overall QoE of the considered system subject to the total transmit power and interference constraints. We first propose a user-oriented subcarrier allocation algorithm. Secondly, for a given subchannel assignment, we propose a fast barrier method to tackle the optimal power allocation problem, where the key is to replace Newton step with complexity O(N3) in the barrier method by a procedure with approximate linear complexity, which is developed by exploiting the structure of the optimization problem. Simulation results validate that our method can always reach a better performance in terms of both single user QoE and the overall QoE with lower complexity.
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