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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Selectable sensing period optimisation for energy-constrained cognitive radio networks
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Selectable sensing period optimisation for energy-constrained cognitive radio networks

机译：能量受限的认知无线电网络的可选传感周期优化

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摘要

Recently, cognitive radio has been proposed to improve the spectrum resource utilisation. In cognitive radio networks, the secondary (or unauthorised) users (SUs) are allowed to sense, detect and utilise the frequency bands that are not currently being used. Once the primary user (PU) is active, the secondary users have to vacate the channel within certain amount of time. Thus, it is a challenging task to find the suitable sensing period for better spectrum utilisation. In this paper, we propose a selectable sensing period optimisation (SSPO) mechanism. In the algorithm, each secondary user use the different periods for channel detection according to the different channel states. so that we can deal with the tradeoff between spectrum utilisation and energy consumption more flexibly. We consider the constraint of interference to PU and the energy consumption to compute the optimal sensing periods. Our simulation results demonstrate that, with the constraint of energy consumption, the SSPO algorithm can gain the spectrum utilisation 22.8% more than the previous algorithm. Moreover, with the constraint of spectrum utilisation, the SSPO algorithm can save the energy consumption 20.6% more than the previous algorithm.
机译：最近，已经提出了认知无线电来改善频谱资源的利用。在认知无线电网络中，允许次要（或未授权）用户（SU）感测，检测和利用当前未使用的频带。一旦主要用户（PU）处于活动状态，辅助用户就必须在一定时间内腾出该频道。因此，寻找合适的感测周期以更好地利用频谱是一项艰巨的任务。在本文中，我们提出了一种可选的感应周期优化（SSPO）机制。在该算法中，每个次要用户根据不同的信道状态使用不同的周期进行信道检测。这样我们就可以更灵活地处理频谱利用率和能耗之间的折衷。我们考虑了对PU的干扰约束以及计算最佳感测周期所需的能耗。仿真结果表明，在能耗限制下，SSPO算法的频谱利用率比以前的算法提高了22.8％。此外，在频谱利用的约束下，SSPO算法比以前的算法节省了20.6％的能耗。

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