Queue-Aware Optimization-Based Scheduling for mmWave Multi-User MIMO Indoor Small Cell

Millimeter-wave (mmWave) multi-user multiple-input multiple-output (MU-MIMO) system is considered for higher quality-of-service of wireless communication and extensive literature has considered user equipment (UE) scheduling framework for it. To ensure high QoS, it is important to consider not only the achievable rate and error rate, which are influenced by multi-user interference, but also the queuing latency. However, extant works have not deeply considered the inherent trade-off between multi-user interference and queuing latency, which is more significant in indoor environments. To handle this issue, we propose Queue-Aware Optimization-based Scheduling (QAOS) and Dynamic Jumping QAOS (DJ-QAOS) algorithm for uplink scheduling in mmWave MU-MIMO systems. The proposed methods select UEs based on Lyapunov optimization framework to handle the trade-off between multi-user interference and queuing latency.