TSS: A Primary User Mobility Model in Cognitive Internet

Neng Zhang, Jianfeng Guan, Changqiao Xu, Hongke Zhang
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引用次数: 1

Abstract

Realistic mobility models are important to understand the performance of routing protocols in Cognitive Internet (CI), especially when behaviors and activities of Primary User (PU) are taken into consideration. Currently, PU mobility models are commonly simplistic spectrum handoff or traditional mobility models that do not reflect realistic space-time characteristics in CI. Hence, the effect involved in PUs mobility should tightly integrated with spectrum available time and PUs appearance behavior. In this paper we propose a novel PU mobility model named TSS, combined with spectrum usage and spatio-temporal characteristics. In this model, we describe the PUs appearance behaviors that are visited often by the nodes to capture location visiting preferences, and spectrum available time with different mobility parameters to create periodical spectrum reuse of nodes at the same location. Lastly, we present numerical and simulation results that illustrate the performance evaluation of PU.
TSS:认知互联网中的主要用户移动性模型
现实的移动模型对于理解认知互联网(Cognitive Internet, CI)中路由协议的性能非常重要,特别是当考虑到主用户(Primary User, PU)的行为和活动时。目前,PU迁移模型通常是简单的频谱切换或传统的迁移模型,不能反映CI中真实的时空特征。因此,涉及pu迁移率的影响应与频谱可用时间和pu外观行为紧密结合。本文结合频谱利用和时空特征,提出了一种新颖的PU迁移率模型TSS。在该模型中,我们描述了节点经常访问的pu外观行为,以捕获位置访问偏好,以及不同迁移参数下的频谱可用时间,以创建同一位置节点的周期性频谱重用。最后,我们给出了数值和仿真结果来说明PU的性能评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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