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A joint subcarrier and power allocation in uplink OFDMA systems with incomplete channel state information is proposed. The subcarrier allocation problem is considered as a multi-player discrete, stochastic and finite strategy game, and equal power is allocated to the subcarriers of each user. Particularly, the utility function is based on the channel capability and adds the pricing scheme to guarantee the fairness. The subcarrier allocation is different from the traditional scheme in which the subcarriers are allocated passively. In our process, each of the subcarriers is viewed as a learning automaton to choose the most satisfying user. We adopt the linear reward-inaction algorithm to obtain the Nash equilibrium. Theoretic analysis is given. Simulation results show our allocation scheme has good convergence, and the performance gap is tolerated compared with the complete channel state case.