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Energy-Efficient Design for Relay-Aided MIMO-OFDM Cognitive Radio Networks

机译:中继辅助MIMO-OFDM认知无线电网络的节能设计

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With the explosive growth of high-rate multimedia services and promptly boomed energy consumption in wireless networks, energy-efficient design is become more and more important. In this paper, we investigate energy-efficient design for relay-aided multiple-input multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM) cognitive radio networks. We formulate an energy-efficient power allocation problem, which takes a form of nonlinear fractional programming. To solve the problem, we first make a joint concave approximation to the original problem which facilitates the optimal algorithm development. Then, we derive an equivalent parametric optimization problem of the approximated problem. Finally, an iteration energy-efficient power allocation algorithm is presented. Numerical results reveal that the proposed algorithm can improve energy efficiency over traditional capacity maximization method.
机译:随着高速率多媒体服务的爆炸性增长以及无线网络中能耗的迅速增长,节能设计变得越来越重要。在本文中,我们研究了中继辅助多输入多输出正交频分复用(MIMO-OFDM)认知无线电网络的节能设计。我们提出了一种节能的功率分配问题,该问题采用非线性分数规划的形式。为了解决该问题,我们首先对原始问题进行联合凹面近似,以利于优化算法的开发。然后,我们推导出近似问题的等效参数优化问题。最后,提出了一种迭代节能电源分配算法。数值结果表明,与传统的容量最大化方法相比,该算法可以提高能源效率。

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