论文标题
大规模MIMO的日程安排和动态试验分配，交通变化
Scheduling and Dynamic Pilot Allocation For Massive MIMO with Varying Traffic
论文作者
论文摘要
在本文中，我们考虑了在不同的交通状况下，基于时间分割的双工（TDD）大型MIMO网络中的联合用户调度和动态试验分配的问题。大型MIMO系统的主要问题之一是，可用的正交试点信号的数量有限，并且这些信号的动态分配至关重要，以利用这些系统的全部好处。此外，试点信号是在实践中配置的无线电资源控制（RRC），因此频繁的重新配置会导致高信号开销，并且成本很高。使用Lyapunov优化框架，我们开发了一种最佳算法，该算法首先基于队列大小和用户的通道条件以及在较大时间尺度的重新配置成本进行动态分配。然后，它以小规模安排用户。数值结果表明我们的算法的功效，并证明了飞行员不需要以增加队列延迟而频繁配置。
In this paper, we consider the problem of joint user scheduling and dynamic pilot allocation in a Time-Division Duplex (TDD) based Massive MIMO network under varying traffic condition. One of the main problems with Massive MIMO systems is that the number of available orthogonal pilot signals is limited, and the dynamic allocation of these signals to different users is crucially needed to utilize the full benefit of these systems. In addition, pilot signals are radio resource control (RRC) configured in practice, and hence the frequent reconfiguration causes high signaling overhead and is costly. Using Lyapunov optimization framework, we develop an optimal algorithm that first assigns pilots dynamically based on queue sizes and the channel conditions of users as well as the reconfiguration cost at large time-scale. Then, it schedules users on a small-time scale. Numerical results show the efficacy of our algorithm and demonstrate that pilots do not need to be configured frequently at the expense of increased queue delay.
