This paper proposed a utility-based cross-layer resource allocation algorithm in multiuser OFDM-based cognitive radio systems, which could not only control the interference to primary users caused by secondary users, but also balance the efficiency and fairness among cognitive users in resource allocation. Simulation shows that the proposed algorithm can obtain the best performance in term of the average rate or utility compared with existing two representative algorithms, and all the users obtain fair resource allocation.%提出了一个基于OFDM的多用户认知无线电系统的基于效用函数的跨层资源优化分配算法,该算法不仅能控制认知用户因为频谱泄露导致的对主用户的干扰,而且能够在多个认知子用户间平衡资源分配中的资源使用效率和公平性的问题.仿真结果显示,提出的算法就平均吞吐量或平均效用与现有的最具代表性的两种典型算法相比有更好的性能,同时认知子用户也获得了公平性的资源分配.
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