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An energy-preserving spectrum access strategy in mobile cognitive radio networks

机译:移动认知无线电网络中的一种节能频谱接入策略

摘要

This paper studies energy-efficient spectrum probing in mobile cognitive networks. We introduce a sleeping action with which the secondary users can well exploit trade-off between energy consumption and data transmission throughput. With our approach, the energy consumption of secondary users can be greatly reduced while achieving nearly the same throughput as in existing solutions.Cognitive radio techniques provide potential solutions to the spectrum crisis problem. In cognitive radio networks, a secondary user (SU) opportunistically accesses the authorised spectrum of a primary user (PU) to transmit its data. In order to avoid collisions with the PU, the SU needs to frequently detect the status of the channel before accessing the spectrum. However, frequent detection of channel status consumes a lot of energy, which is unaffordable for mobile SUs. In this paper, we investigate how to preserve the limited energy of SUs in mobile cognitive networks. Besides the sensing and transmitting actions used in traditional spectrum access policies, we introduce a new sleeping action with which mobile SUs can better exploit the trade-off between their consumption and data transmission throughput. We define a utility function to characterise the effect of sleeping actions, in which correct sleeping actions are rewarded for preserving energy, and incorrect sleeping actions are penalised for wasting data transmission opportunities. We prove that, in the meaning of maximising the mean benefit, the utility function exhibits a threshold-based structure. Based on this structure, we design a new spectrum access strategy with which mobile SUs can chose their optimal actions to achieve the best trade-off between energy consumption and throughput. Simulation results show that our spectrum access strategy greatly reduces energy consumption of mobile SUs by up to 85% and, meanwhile, incurs nearly the same PU collision rate and throughput as in state-of-the-art solutions.
机译:本文研究了移动认知网络中的节能频谱探测。我们介绍了一种睡眠操作,通过该操作,二级用户可以很好地利用能耗与数据传输吞吐量之间的折衷。使用我们的方法,可以大大降低辅助用户的能耗,同时实现与现有解决方案几乎相同的吞吐量。认知无线电技术为频谱危机问题提供了潜在的解决方案。在认知无线电网络中,次要用户(SU)机会性地访问主要用户(PU)的授权频谱以传输其数据。为了避免与PU发生冲突,SU需要在接入频谱之前频繁检测信道状态。但是,频繁检测信道状态会消耗大量能量,这对于移动SU来说是无法承受的。在本文中,我们研究了如何在移动认知网络中保留SU的有限能量。除了传统频谱访问策略中使用的感测和传输操作外,我们还引入了一种新的休眠操作,移动SU可以利用该休眠操作更好地利用其消耗与数据传输吞吐量之间的折衷。我们定义了一个效用函数来表征睡眠行为的效果,其中奖励正确的睡眠行为以节省能量,而错误的睡眠行为则因浪费数据传输机会而受到惩罚。我们证明,在使平均收益最大化的意义上,效用函数表现出基于阈值的结构。基于此结构,我们设计了一种新的频谱访问策略,移动SU可以选择其最佳操作来实现能耗和吞吐量之间的最佳权衡。仿真结果表明,我们的频谱访问策略可将移动SU的能耗大幅降低多达85%,同时,其PU冲突率和吞吐量几乎与最新解决方案相同。

著录项

  • 作者

    Xiao Y; Wang J; Zhang S; Cao J;

  • 作者单位
  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 eng
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