On the coexistence of cognitive radio ad hoc networks in TV White Space

A. S. Cacciapuoti, M. Caleffi, L. Paura
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引用次数: 6

Abstract

Very recently, regulatory bodies worldwide have started to approve the dynamic access of unlicensed networks to the TV White Space spectrum. Hence, in the near future, multiple heterogeneous and unlicensed ad hoc networks will coexist within the same geographical area over shared TV White Space. Although heterogeneity and coexistence are not unique to TV White Space scenarios, their distinctive characteristics pose new and challenging issues. In this paper, the problem of the coexistence interference among multiple heterogeneous and secondary ad hoc networks in absence of secondary cooperation is addressed. Specifically, the optimal coexistence strategy, i.e., the coexistence strategy maximizing the expected throughput in presence of coexistence interference, is designed. More in detail, at first, an analytical framework is developed to model the channel selection process for an arbitrary SN as a decision process, where the reward models the data rate achievable on a channel and the cost models the communication overhead for assessing the coexistence interference. Then, we derive the closed-form expression of the expected throughput, which allows us to determine the optimal coexistence strategy. The theoretical analysis is finally validated through a case study.
论认知无线电自组网在电视空白空间中的共存
最近,世界各地的监管机构已经开始批准未经许可的网络对电视空白频段的动态访问。因此,在不久的将来,多个异构和未经许可的自组织网络将在共享电视空白空间的同一地理区域内共存。尽管异质性和共存并不是电视空白空间场景所独有的,但它们的鲜明特征提出了新的和具有挑战性的问题。本文研究了在没有二次协作的情况下,多个异构二次自组织网络之间共存干扰的问题。具体而言,设计了最优共存策略,即在存在共存干扰时使期望吞吐量最大化的共存策略。更详细地说,首先,开发了一个分析框架,将任意SN的信道选择过程建模为决策过程,其中奖励模型是信道上可实现的数据速率,成本模型是用于评估共存干扰的通信开销。然后,导出了期望吞吐量的封闭表达式,从而确定了最优共存策略。最后通过实例验证了理论分析的正确性。
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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