Cognitive radio networks (CRNs) are considered a promising solution for spectrum resources scarcity and efficient channel utilization. In this letter, multi-dimensional analytical Markov model based on reservation channel access scheme and channel aggregation method is proposed to enhance spectrum utilization, capacity of low priority secondary users (SUs) and reducing handoff probability of SUs. Moreover, the proposed method improves the performance of high priority SUs by providing the capability to resume the connection after dropping. The numerical results indicate that the modified reservation access model can enhance the performance of SUs compared to the traditional basic random access model.

中文翻译：

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使用 CRN 中的保留信道提高低优先级 SU 的性能

认知无线电网络 (CRN) 被认为是解决频谱资源稀缺和有效信道利用的有前途的解决方案。在这封信中，提出了基于预留信道接入方案和信道聚合方法的多维分析马尔可夫模型，以提高频谱利用率、低优先级次级用户（SU）的容量并降低SU的切换概率。此外，所提出的方法通过提供在断开后恢复连接的能力来提高高优先级 SU 的性能。数值结果表明，与传统的基本随机访问模型相比，修改后的预留访问模型可以提高 SU 的性能。