In this letter, we consider a problem of throughput optimum channel switching for channel access by a secondary user in multichannel Cognitive Radio Networks in which there is a delay involved in switching from one channel to another. We consider an imperfect sensing model that takes into account false alarm and detection probabilities. We show that the problem can be posed in the framework of Partially Observable Markov Decision Process (POMDP), and obtain an average throughput optimal policy for which we provide structural results. Also, we propose a low complex algorithm ASTUTE for channel access based on one stage reward. We compare the performance of the optimum policy with ASTUTE . Our results show that the average throughput performance of ASTUTE is very close to that of the optimal solution.

中文翻译：

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认知无线电网络中的吞吐量最优机会信道切换

在这封信中，我们考虑了多信道认知无线电网络中次要用户的信道接入的吞吐量最佳信道切换问题，其中从一个信道切换到另一个信道存在延迟。我们考虑了一个不完美的传感模型，它考虑了误报和检测概率。我们表明该问题可以在部分可观察马尔可夫决策过程（POMDP）的框架中提出，并获得我们提供结构结果的平均吞吐量最优策略。此外，我们提出了一个低复杂度的算法基于一级奖励的 ASTUTE 频道访问。我们将最优策略的性能与精明。我们的结果表明，平均吞吐量性能为ASTUTE 非常接近最优解。