We derive a fast and optimal algorithm for solving practical weighted max-min SINR problems in cell-free massive MIMO networks. For the first time, the optimization problem jointly covers long-term power control and distributed beamforming design under imperfect cooperation. In particular, we consider user-centric clusters of access points cooperating on the basis of possibly limited channel state information sharing. Our optimal algorithm merges powerful power control tools based on interference calculus with the recently developed team theoretic framework for distributed beamforming design. In addition, we propose a variation that shows faster convergence in practice.

翻译：我们获得了一种快速和最佳的算法来解决无细胞大型MIMO网络中的实际加权最大SINR问题。 优化问题首次在不完善的合作下联合涵盖了长期电源控制和分布波束成型设计。 特别是,我们考虑了以用户为中心的接入点集群,在可能有限的频道国家信息共享基础上开展合作。 我们的最佳算法将基于干扰微积分的强力控制工具与最近开发的分布波束成型设计团队的理论框架合并在一起。 此外,我们提出了一种变化,显示实际中更快的趋同。