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Robust Power and Bandwidth Allocation in Cognitive Radio System With Uncertain Distributional Interference Channels

机译:具有不确定分布干扰信道的认知无线电系统中的鲁棒功率和带宽分配

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In this paper, the problem of joint transmit power and bandwidth allocation over multiple channels is investigated for a secondary user in underlay mode, when partial information of interference channel is known. The target is to maximize the capacity of a secondary user under a probabilistic constraint of the interference to the primary user. A robust optimization problem is formulated, which is nondeterministic and cannot be solved directly. We then transform the original optimization problem into an equivalent convex optimization problem. For general case, an optimal solving algorithm, which is a combination of analytical and bisection-search methods, is given. For some special cases, simple and optimal solving algorithms are also devised. Numerical results are presented to show that our proposed optimal algorithm has low computation complexity when the number of channels is not large and can achieve global optimal utility in general case and our proposed simple algorithms have much lower computation complexity and can achieve global optimal utility in special cases.
机译:在本文中,当已知干扰信道的部分信息时,对于处于底层模式的次用户,研究了多信道上联合发射功率和带宽分配的问题。目标是在对主要用户的干扰的概率约束下,最大化次要用户的容量。提出了一个不确定的鲁棒优化问题,无法直接解决。然后,我们将原始优化问题转换为等效的凸优化问题。对于一般情况,给出了一种最佳求解算法,该算法是解析和对分搜索方法的组合。对于某些特殊情况,还设计了简单而最佳的求解算法。数值结果表明,本文提出的最优算法在信道数不大的情况下计算复杂度较低,一般情况下可以实现全局最优效用,而简单算法的计算复杂度较低,在特殊情况下可以实现全局最优效用。案件。

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