Scalable Learning-Based Heterogeneous Multi-Band Multi-User Cooperative Spectrum Sensing for Distributed IoT Systems
Scalable Learning-Based Heterogeneous Multi-Band Multi-User Cooperative Spectrum Sensing for Distributed IoT Systems
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DOI：
10.1109/ojcoms.2020.3012906
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发表时间：
2020-01-01
影响因子：
7.9
通讯作者：
Ibnkahla, Mohamed
中科院分区：
文献类型：
--
作者：
Gharib, Anastassia;Ejaz, Waleed;Ibnkahla, Mohamed
物联网（IoT）的出现给无线通信带来了革命性的变化。认知无线电（CR）可以被视为解决物联网频谱稀缺问题的重要解决方案之一，其中多频段协作频谱感知（CSS）是关键。然而，缺乏集中控制和设备数量的增加带来了许多挑战。主要挑战之一是辅助用户 (SU) 调度以感知异构分布式 CR 网络 (CRN) 中的信道子集。为了克服上述挑战，在本文中，我们提出了一种新颖的异构多频段多用户CSS（HM2CSS）方案。所提出的方案允许异构 SU 感知多个通道并由两个阶段组成。我们制定了一个数学模型来优化第一阶段每个渠道的领导者选择。然后，我们制定另一个优化问题来确定相应的协作SU来在第二阶段感测这些信道。之后，使用扩散学习来决定通道的可用性。仿真结果表明，与现有的多频段 CSS 方案相比，所提出的方案提高了检测性能和 CRN 吞吐量，在检测性能方面具有可扩展性，并且为所有通道上的 CSS 提供了公平的能耗。
The emerge of Internet of Things (IoT) brings up revolutionary changes to wireless communications. Cognitive radio (CR) can be seen as one of the prominent solutions to spectrum scarcity in IoT, where multi-band cooperative spectrum sensing (CSS) is the key. However, lack of centralized control and increase in number of devices place a room for many challenges. One of the main challenges is secondary users' (SUs') scheduling to sense a subset of channels in heterogeneous distributed CR networks (CRNs). To overcome the aforementioned challenge, in this paper, we propose a novel heterogeneous multi-band multi-user CSS (HM2CSS) scheme. The proposed scheme allows heterogeneous SUs to sense multiple channels and consists of two stages. We formulate a mathematical model to optimize leader-selection for each channel in the first stage. We then formulate another optimization problem to determine corresponding cooperative SUs to sense these channels in the second stage. After that, diffusion learning is used to decide on the availability of channels. Simulations illustrate that the proposed scheme improves detection performance and CRN throughput, is scalable in terms of detection performance, and provides fair energy consumption for CSS on all channels compared to existing multi-band CSS schemes.