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Energy Efficient Design for OFDM-Based Underlay Cognitive Radio Networks

机译:基于OFDM的底层认知无线电网络的节能设计

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Conventional designs on OFDM-based underlay cognitive radio (CR) networks mainly focus on interference avoidance and spectral efficiency (SE) improvement. As green radio becomes increasingly important, this paper investigates energy efficient power allocation. Our aim is to maximize energy efficiency (EE), subject to the constraints on the total transmit power, the peak interference power, and the minimum data rate requirement. We first analyze the relationship between SE and EE and solve this optimization problem with the help of bisection search technique. However, the accuracy of the power allocation solution is dependent on the number of iterations. In order to achieve the exact optimal solution, a new energy efficient power allocation scheme is proposed to balance the tradeoff between SE and EE. Simulation results are provided to demonstrate the effectiveness of the proposed schemes.
机译:基于OFDM的底层认知无线电(CR)网络的常规设计主要集中在避免干扰和提高频谱效率(SE)上。随着绿色无线电变得越来越重要,本文研究了节能电源分配。我们的目标是在总发射功率,峰值干扰功率和最小数据速率要求的约束下,最大化能效(EE)。我们首先分析SE和EE之间的关系,并通过对分搜索技术解决此优化问题。但是,功率分配解决方案的准确性取决于迭代次数。为了获得精确的最佳解决方案,提出了一种新的节能型功率分配方案,以平衡SE和EE之间的权衡。仿真结果表明了所提方案的有效性。

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  • 来源
    《Mathematical Problems in Engineering 》 |2014年第8期| 431878.1-431878.7| 共7页
  • 作者单位

    Institute of Embedded Software and Systems, Beijing University of Technology, Beijing 100022, China;

    Department of Vehicular Information Systems, North Information Control Group Co., Ltd., Nanjing 211153, China;

    Institute of Embedded Software and Systems, Beijing University of Technology, Beijing 100022, China;

    Institute of Embedded Software and Systems, Beijing University of Technology, Beijing 100022, China;

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