Many common instances of power control problems for cellular and cell-free massive MIMO networks can be interpreted as max-min utility optimization problems involving affine interference mappings and polyhedral constraints. We show that these problems admit a closed-form solution which depends on the spectral radius of known matrices. In contrast, previous solutions in the literature have been indirectly obtained using iterative algorithms based on the bisection method, or on fixed-point iterations. Furthermore, we also show an asymptotically tight bound for the optimal utility, which in turn provides a simple rule of thumb for evaluating whether the network is operating in the noise or interference limited regime. We finally illustrate our results by focusing on classical max-min fair power control for cell-free massive MIMO networks.
翻译:移动电话和无细胞大型MIMO网络中许多常见的电源控制问题可以被解释为最大程度的公用事业优化问题,涉及纤维干扰测绘和多面限制。我们证明这些问题承认封闭式的解决方案,取决于已知矩阵的光谱半径。相反,文献中以前的解决方案是利用基于分解法或固定点迭代法的迭代算法间接获得的。此外,我们还展示了对最佳用途的不那么紧密的连接,这反过来为评价网络是否在噪音或干扰有限制度下运行提供了简单的拇指规则。我们最后通过侧重于无细胞大型MIMO网络的经典最大限度公平电源控制来说明我们的成果。