This paper presents collaborative spectrum sensing for optical wireless scattering communications. The received signal is characterized by the conditional Poisson distribution, given the mean photon count following Málaga distributed correlated fading. We consider multi-scattered non-coplanar links and use the stochastic analytical method to model the channel. A system model is developed, utilizing the cooperative diversity drawn from the fact that the users are randomly distributed. A novel centralized cooperative spectrum sensing technique is developed that all the raw data available at each collaborative user are combined at the fusion center to make a decision. Another novel decentralized technique is also proposed where only one-bit information is required to be sent to the fusion center. For this decentralized technique, we propose a unique voting rule that leverages the location flexibility of randomly distributed users with each user experiencing correlated fading. Results demonstrate their effectiveness and provide insights into the proposed cooperative spectrum sensing system. Interestingly, it is also found that the use of the proposed voting rule requires fewer than the total number of collaborative users while satisfying a given error rate, and yields the Bernoulli distributed output of the fusion center.

中文翻译：

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马拉加衰落上光无线散射通信的频谱感知——一种具有硬决策融合的合作方法

本文介绍了用于光学无线散射通信的协作频谱感知。给定马拉加分布相关衰落后的平均光子计数，接收信号的特征在于条件泊松分布。我们考虑多分散的非共面链路，并使用随机分析方法对通道进行建模。利用从用户随机分布这一事实得出的合作分集，开发了一个系统模型。开发了一种新颖的集中式协作频谱感知技术，该技术将每个协作用户可用的所有原始数据在融合中心合并以做出决策。还提出了另一种新颖的分散技术，其中只需要将一位信息发送到融合中心。对于这种去中心化技术，我们提出了一个独特的投票规则，利用随机分布的用户的位置灵活性，每个用户都经历相关的衰落。结果证明了它们的有效性，并提供了对提议的协作频谱感知系统的见解。有趣的是，还发现使用提议的投票规则在满足给定错误率的情况下需要少于协作用户总数，并产生融合中心的伯努利分布输出。