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Mixed-integer linear programming framework for max-min power control with single-stage interference cancellation

机译:用于单级干扰消除的最大-最小功率控制的混合整数线性编程框架

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We consider a wireless network comprising a number of mutually-interfering links. We study the transmit power control problem that determines the egalitarian signal-to-interference-plus-noise ratio under a novel setup. Namely, we assume that the receivers have multiuser detection capability, which enables decoding and cancellation of the interference, when it is strong enough. Determining the interference terms that can be cancelled is a combinatorial problem, which is intertwined with the power control problem. We propose a mixed-integer linear programming framework that jointly solves these problems optimally, using off-the-shelf algorithms. We illustrate with a simulation result the merit of the novel approach against the conventional one that precludes interference cancellation.
机译:我们考虑一种包括许多相互干扰的链路的无线网络。我们研究了一种在新型设置下确定平均信号信噪比的发射功率控制问题。即,我们假设接收机具有多用户检测能力,当其足够强时,其能够解码和消除干扰。确定可以消除的干扰项是一个组合问题,它与功率控制问题交织在一起。我们提出了一个混合整数线性规划框架,该框架使用现有算法共同最佳地解决了这些问题。我们用仿真结果说明了这种新颖方法相对于传统方法的优点,该方法可以消除干扰。

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