We propose an effective interference management and beamforming mechanism for uplink communication systems that yields fair allocation of rates. In particular, we consider a hotspot area of a millimeter-wave (mmWave) access network consisting of multiple user equipment (UE) in the uplink and multiple access points (APs) with directional antennas and adjustable beam widths and directions (beam configurations). This network suffers tremendously from multi-beam multi-user interference, and, to improve the uplink transmission performance, we propose a centralized scheme that optimizes the power, the beam width, the beam direction of the APs, and the UE - AP assignments. This problem involves both continuous and discrete variables, and it has the following structure. If we fix all discrete variables, except for those related to the UE-AP assignment, the resulting optimization problem can be solved optimally. This property enables us to propose a heuristic based on simulated annealing (SA) to address the intractable joint optimization problem with all discrete variables. In more detail, for a fixed configuration of beams, we formulate a weighted rate allocation problem where each user gets the same portion of its maximum achievable rate that it would have under non-interfered conditions. We solve this problem with an iterative fixed point algorithm that optimizes the power of UEs and the UE - AP assignment in the uplink. This fixed point algorithm is combined with SA to improve the beam configurations. Theoretical and numerical results show that the proposed method improves both the UE rates in the lower percentiles and the overall fairness in the network.

翻译：我们建议一个有效的干扰管理和波形机制,用于更新通信系统,从而产生公平的费率分配。特别是,我们考虑一个以毫米波(mmWave)接入网络组成的热点区域,由上行和多接入点(APs)的多个用户设备组成,包括上行和多接入点(UE),配有方向天线和可调整的光束宽度和方向(波形配置)。这个网络受到多波束多用户干扰的极大影响,为了改进上行传输性能,我们建议了一个集中化计划,优化电力、波束宽、APs和UE-AP任务方向。这个问题涉及连续和离散变量,并且有以下结构。如果我们用所有离散的变量,除与UE-AP任务相关的变量和可调整的波束宽宽宽度和方向(波形配置),由此产生的优化问题可以最佳地解决。这个特性使我们能够在模拟的组合组合(SA)的基础上提出一个超音率的超链接问题,以解决所有离散的传输性联合优化问题。更详细地说,为了固定的组合配置,在固定的配置中,我们制定了一个最高比率分配率比率,在每一个用户平流中可以实现这一固定的平流中,在最接近的平流中,每个用户平流的平流的平流的平流的平流中,我们将提出一个可实现这一固定的平流的平流的平流的平价率分配。