The focus of research efforts in cognitive radio networks (CRNs) has primarily remained confined to maximizing the utilization of the discovered resources. However, it is also important to enhance the user satisfaction in CRNs by finding a suitable match between the secondary users and the idle channels available from the primary network while taking into consideration not only the quality of service (QoS) requirements of the secondary users but the quality of the channels as well. In this work, the Gale Shapley matching theory was applied to find the best match, so that the most suitable channels from the available pool were allocated that satisfy the QoS requirements of the secondary users. Before applying matching theory, two objective functions were defined from the secondary user's perspective as well as from the channel's perspective. The objective function of secondary users is the weighted sum of the data rate of the secondary users and the probability of reappearance of the primary user on the channel. Whereas, the objective function of the channel is the maximum utilization of the channel. The weight factors included in the objective functions allow for diverse service classes of secondary users (SUs) or varying channel quality characteristics. The objective functions were used in developing the preference lists for the secondary users and the idle channels. The preference lists were then used by the Gale Shapely matching algorithm to determine the most suitably matched SU-channel pairs. The performance of the proposed scheme was evaluated using Monte-Carlo simulations. The results show significant improvement in the overall satisfaction of the secondary users with the proposed scheme in comparison to other contemporary techniques. Further, the impact of changing the weight factors in the objective functions on the secondary user's satisfaction and channel utilization was also analyzed.

中文翻译：

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使用匹配理论在认知无线电网络中进行QoS配给的高效信道分配。

认知无线电网络（CRN）的研究工作重点仍主要限于最大程度地利用发现的资源。但是，通过在次要用户和可从主要网络获得的空闲信道之间找到合适的匹配来提高CRN中的用户满意度也很重要，同时不仅要考虑次要用户的服务质量（QoS）要求，渠道质量也是如此。在这项工作中，应用了Gale Shapley匹配理论来找到最佳匹配，以便从可用池中分配最合适的信道，以满足次用户的QoS要求。在应用匹配理论之前，从二级用户的角度以及从渠道的角度定义了两个目标函数。二级用户的目标函数是二级用户的数据速率与一级用户在信道上重新出现的概率的加权总和。而通道的目标函数是通道的最大利用率。目标函数中包含的权重因子允许次级用户（SU）的服务类别不同或信道质量特征有所不同。目标功能用于开发次要用户和空闲信道的首选项列表。然后，偏好列表由Gale Shapely匹配算法用于确定最合适匹配的SU通道对。使用蒙特卡洛模拟评估了所提出方案的性能。结果表明，与其他现代技术相比，使用该方案的二级用户的总体满意度有了显着提高。此外，还分析了更改目标函数中的权重因子对二级用户的满意度和渠道利用率的影响。