In this paper, a resource allocation algorithm in two-way orthogonal frequency division multiplexing (OFDM) based\ncognitive radio networks with quality of experience (QoE) and power consumption guarantees is proposed. We define\nthe overall QoE perceived by secondary users (SUs) per power consumption as QoEW. The power consumption\nmodel consists of fixed circuit power, dynamic circuit power, and transmit power which depends on the efficiency of\nthe power amplifiers at different terminals. Under the constraint of total maximum transmit power, the optimization\nobjective is to maximize QoEW while meeting the minimum QoE demands of SUs and maintaining interference\nthreshold limitations of multiple primary users. The resource allocation problem is formulated into a nonlinear\nfractional programming and transformed into an equivalent convex optimization problem via its hypograph form.\nBased on the Lagrange dual decomposition method and cross-layer (CL) optimization architecture, this convex\noptimization problem is separately solved in the physical layer and the application layer. The optimal QoEW is\nachieved through the proposed CL alternate iteration algorithm. Numerical simulation results demonstrate the\nimpacts of system parameters on QoEW and the effectiveness and superiority of the proposed algorithm.
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