基于联合频谱感知和频谱预测的频谱数据库的频谱机会探索

Jianzhao Zhang, Yongxiang Liu, Chen Yong, Long Cao
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引用次数: 5

摘要

快速、精确的频谱机会(SOP)勘探是动态频谱管理的基础和关键步骤。本文研究了光谱数据库的时间特征,而不是地理特征。将谱预测作为谱库的函数来表述。此外,频谱感知也是SOP探索的一种选择,以解决单一频谱数据库方法在信息新鲜度和预测精度方面的不足。在此基础上,提出了一种基于联合频谱感知和支持频谱预测的频谱数据库确定SOP的联合SOP探测(JSE)方案。可以综合利用谱库、谱预测和谱感知的优势确定SOP。大量的仿真结果表明,该方案可以适应不同场景,具有不同的SUs感知能力和频谱数据库预测能力,同时可以综合利用现有SOP勘探方法的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectrum opportunity exploration based on joint spectrum sensing and the spectrum prediction enabled spectrum database
Fast and precise spectrum opportunity (SOP) exploration is a fundamental and vital procedure for dynamic spectrum management. In this paper, the temporal rather than geographical feature of spectrum database is investigated. The spectrum prediction is formulated and taken as a function of spectrum database. Furthermore, spectrum sensing is also a choice for SOP exploration to cope with the inefficiency of the solely spectrum database approach on freshness of the information and the precise of the prediction. On that consideration, a joint SOP exploration (JSE) scheme is proposed which determines SOP based on joint spectrum sensing and the spectrum prediction enabled spectrum database. The advantages of spectrum database, spectrum prediction and spectrum sensing can be taken jointly to ascertain SOP. Extensive simulation results demonstrate that the proposed scheme can accommodate to diverse scenarios with different sensing ability of SUs and prediction ability of spectrum database, while the advantages of existing SOP exploration approaches can be jointly taken.
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