频谱感知误差下认知无线电网络的鲁棒功率控制

Lingsen Zhu, Xiaohui Zhao, Yongjun Xu
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引用次数: 6

摘要

基于正交频分复用(OFD-M)的认知无线网络(crn)是提高频谱效率和实现资源灵活分配的一种很有前途的范式。然而,以往的研究要么缺乏对信道不确定性的考虑,要么忽略了不完全频谱感知的影响。本文研究了考虑参数不确定性和频谱感知误差的下行ofdm CRN的功率控制问题。在满足干扰约束和功率预算约束的情况下,提出了一种基于最坏情况的鲁棒功率控制策略,以最大限度地提高辅助用户的可实现数据速率。仿真结果表明,我们提出的最坏情况方法可以获得相对较好的数据速率,并为主用户提供更好的保护,从而提高了性能。
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Robust power control for cognitive radio networks under spectrum sensing errors
Orthogonal frequency division multiplexing (OFD-M)based cognitive radio networks (CRNs) is a promising paradigm to increase spectrum efficiency and achieve flexible resource allocation. However, previous works either lack the consideration of channel uncertainties or ignore the effect of imperfect spectrum sensing. In this paper, we focus on the power control for a downlink OFDM-based CRN with the consideration of both parametric uncertainties and spectrum sensing errors. A robust power control strategy based on the worst case approach to maximize achievable data rate of secondary user is proposed while satisfying the interference constraint and power budget constraint. Simulation results demonstrate that our proposed worst case approach exhibits improved performance since it can obtain a relatively good data rate and provide a better protection for primary user.
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