A Weighted QoS Aware Scheduler algorithm for multiple traffic models in 5G heterogeneous networks

5G networks are associated with Quality of Service (QoS) requirements in conjunction with the greater densification of heterogeneous network scenarios. Thus, the plurality of applications and services stands out, which involves real-time (RT) and non-real-time (NRT) traffic models for users. Thus, system-level simulations are performed to implement a Weighted QoS Aware Scheduler (WQAS) and compare it to the QoS Aware Scheduler (QAS), Round Robin (RR), and Best Channel Quality Indicator (best CQI) scheduling algorithms in a heterogeneous network with varying numbers of users and multiple traffic flows. The results show gains in throughput and high performance for reliability and latency.