Cognitive radio (CR) is a promising technology that allows devices to effectively utilize the underutilized or unutilized portions of the licensed spectrum. In literature, several channel assignment and spectrum sharing algorithms for CR Networks (CRNs) have been developed to improve spectrum efficiency without considering the problem of Adjacent Channel Interference (ACI). Guard-Band (GB)-aware mechanisms have been proposed in CRNs to prevent ACI and improve spectrum efficiency. However, most of the existing GB-aware algorithms assume having channels with fixed-rate and employ a sequential channel assignment paradigm. Unfortunately, this assumption is not realistic, because channel’s conditions may vary over time. In this work, we propose a GB-aware channel assignment that considers the channel-dependent achieved transmission rates (due to Rayleigh fading time-varying conditions) at different time slots while simultaneously assigning channels to several CR transmissions. This batch based proposal aims at increasing network capacity and minimizing the number of assigned channels per user subject to rate demand and interference constraints. Simulation experiments demonstrate the effectiveness of our proposed scheme, which show a significant improvement in network performance in terms of the number of served CR users.

认知无线电（CR）是一种很有前途的技术，它允许设备有效利用许可频谱中未充分利用或未充分利用的部分。在文献中，已经开发了几种用于CR网络（CRN）的信道分配和频谱共享算法，以在不考虑相邻信道干扰（ACI）问题的情况下提高频谱效率。已经在CRN中提出了保护带（GB）感知机制，以防止ACI和提高频谱效率。但是，大多数现有的支持GB的算法都假定具有固定速率的信道，并采用顺序的信道分配范例。不幸的是，这种假设是不现实的，因为通道的状况可能会随时间变化。在这项工作中 我们提出了一种GB感知的信道分配，该分配考虑了在不同时隙上与信道相关的已实现传输速率（由于瑞利衰落时变条件），同时为多个CR传输分配了信道。这种基于批次的建议旨在提高网络容量，并在受速率需求和干扰约束的情况下，将每个用户分配的信道数量最小化。仿真实验证明了我们提出的方案的有效性，该方案在服务CR用户数量方面显示出网络性能的显着改善。这种基于批次的建议旨在提高网络容量，并在受速率需求和干扰约束的情况下，将每个用户分配的信道数量最小化。仿真实验证明了我们提出的方案的有效性，该方案在服务CR用户数量方面显示了网络性能的显着改善。这种基于批次的建议旨在提高网络容量，并在受速率需求和干扰约束的情况下，将每个用户分配的信道数量最小化。仿真实验证明了我们提出的方案的有效性，该方案在服务CR用户数量方面显示出网络性能的显着改善。