Resource Allocation Scheme based on Effective Capacity in Massive MIMO-NOMA Systems

With the explosive growth of mobile data and the exponential growth of IoT applications, the communication field has increased its demand for high data rates and low latency in various aspects. In massive MIMO-NOMA systems, research on resource allocation mostly focuses on maximizing system capacity or minimizing transmission power. This cannot fully meet the high-speed and low latency requirements in future communication scenarios. In response to this issue, this paper takes the effective capacity constrained by the QoS index as the resource optimization objective, in order to maximize the system’s effective capacity while ensuring the QoS requirements. The paper aims to maximize the effective capacity and designs a power allocation algorithm based on bisection and a user clustering scheme based on DQN. The simulation results show that the proposed algorithm can effectively improve the effective capacity of the system.