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Number of channels adjustment for cognitive radio networks

机译：认知无线电网络的频道调整数量

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摘要

Cognitive radio networks (CRNs) are considered as a promising approach to enhance the spectrum utilization for large-scale Internet of Things (IoTs). In a CRN, two secondary users (SU nodes) must have a rendezvous before they can communicate with each other. Applying channel hopping is widely adopted to achieve rendezvous between any pair of users. In most of the existing channel hopping protocols, SU nodes switch among all the available channels. Because time to rendezvous (TTR) is in general proportional to the number of channels being used, these channel hopping protocols suffer from long TTR. When the number of SU nodes in the network is not large, using a small portion of the whole available channels may help reduce TIR. A fundamental problem to realize such an idea is to determine the number of channels to be used given the number of SU nodes in a CRN. In this paper, we define the optimal number of channels problem. To the best of our knowledge, it is the first work to theoretically handle the optimal number of channels problem. The proposed dynamic number of channel adjustment scheme (DNCA) operates on top of existing channel hopping protocols and can enhance the performance of them. Simulation results verify the improvement of DNCA when applied to existing channel hopping protocols, Jump-Stay and E-AHW.
机译：认知无线电网络（CRN）被认为是一种增强大型物联网（IoT）频谱利用率的有前途的方法。在CRN中，两个辅助用户（SU节点）必须具有一个集合点才能彼此通信。广泛采用信道跳变来实现任何一对用户之间的会合。在大多数现有的信道跳变协议中，SU节点在所有可用信道之间切换。由于会合时间（TTR）通常与所使用的信道数成正比，因此这些信道跳变协议的TTR较长。当网络中的SU节点数量不多时，使用整个可用信道中的一小部分可能有助于降低TIR。实现这种想法的基本问题是，在给定CRN中的SU节点数的情况下，确定要使用的信道数。在本文中，我们定义了最佳通道数问题。就我们所知，这是理论上处理最佳通道数问题的第一项工作。提议的信道调整方案的动态数量（DNCA）在现有信道跳变协议的基础上运行，并且可以增强它们的性能。仿真结果验证了将DNCA应用于现有的信道跳变协议Jump-Stay和E-AHW的改进。

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