Optimal Scheduling User Number in Massive MIMO with QoS Requirement

Abstract

The Massive multiple-input multiple-output (MIMO) system can schedule dozens of end user equipment at each time slot, however, different quality-of-service (QoS) requirements needs different scheduling policy. Some QoS requirements of buffering services are related to the stability of long term transmit rate, and the instantaneous rate depends on the scheduling policy and channel state. Therefore it is difficult to build direct relationship between the QoS requirement and optimal scheduling user number at each time slot in Massive MIMO system. Based on the effective capacity (EC) theory, the relationship among the number of scheduling user, the QoS requirement and the effective transmit rate is built. The simulation result shows that EC can be described by a smooth function of the number of scheduled users and the QoS requirement.