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Full-filling algorithm for power allocation in OFDM-based cognitive radio systems

机译:基于OFDM的认知无线电系统中的功率分配全填充算法

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In this paper, we propose a sub-optimal technique to solve problem of power allocation in cognitive radio (CR) OFDM-based system. This technique called full-filling based on windowing the CR user's signal and maximizing the power allocation at good sub-carrier positions of CR user. Thank to the interference reduction of windowing technique, the complexity of power allocation optimization problem with burden of computation can be reduced by using full-filling power allocation. The simulation results show that full-filling method outperforms the previous methods such as uniform allocation and interference inversion allocation. In the high tolerable interference range to primary user, full-filling method can achieve the optimal capacity performance.
机译:在本文中,我们提出了一种次优技术来解决基于认知无线电(CR)OFDM的系统中的功率分配问题。这种技术基于窗口化CR用户的信号并在CR用户的良好子载波位置最大化功率分配,从而称为完全填充。由于开窗技术的干扰减少,可以通过使用完全填充的功率分配来减少具有计算负担的功率分配优化问题的复杂性。仿真结果表明,完全填充方法优于统一分配和干扰反转分配等先前方法。在对主要用户的高容忍干扰范围内,完全填充方法可以实现最佳的容量性能。

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