Fulfilling the diverse communication requirements of heterogeneous users is envisioned to be one of the key challenges in cognitive radio-enabled IoT networks. To this end, we propose a novel scheme focused on multi-tier prioritized and heterogeneous regime of users and reservation-based resources allocation. The proposed scheme manipulates the secondary users’ (SUs’) heterogeneity based on their priorities for improving their capacities and blocking probabilities. Besides, the scheme systematically deals with SUs’ dropping for bringing fairness in the service provisioning to SUs. Furthermore, the scheme allows primary users (PUs) to follow an organized approach when accessing channels for mitigating the number of handoffs. Additionally, we propose a dynamic channel reservation algorithm for PUs to enhance spectrum utilization. We leverage the continuous-time Markov chain for system modeling and consider channel failures for making the analysis more realistic. Results confirm the effectiveness of our scheme as compared to the state-of-the-art.

中文翻译：

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针对支持 CR 的物联网网络中异构用户的增强型频谱预留框架


满足异构用户的多样化通信需求被认为是支持认知无线电的物联网网络的关键挑战之一。为此，我们提出了一种新颖的方案，重点关注用户的多层优先级和异构机制以及基于预留的资源分配。所提出的方案根据二级用户（SU）的优先级来操纵其异质性，以提高其容量和阻塞概率。此外，该方案还系统地处理了SU的掉线问题，为SU的服务提供带来了公平性。此外，该方案允许主要用户（PU）在接入信道时遵循有组织的方法以减少切换次数。此外，我们提出了一种 PU 的动态信道预留算法，以提高频谱利用率。我们利用连续时间马尔可夫链进行系统建模，并考虑通道故障以使分析更加真实。结果证实了我们的方案与最先进的方案相比的有效性。