Quality of Service Aware Scheduling in Mixed Traffic Wireless Networks

Abstract

When considering a traffic mix in a wireless net-work, the scheduler needs to be aware of the type of user packets and the state of each user buffer in order to satisfy the requirements of users. In such networks, the requirements vary in terms of latency, throughput, and reliability, thus a trade-off is required to enhance the overall network performance. Therefore, a Quality of Service Aware Scheduler (QAS) is proposed with tuning parameters to achieve a balanced Quality of Service (QoS) delivery. Moreover, moderate fairness is imposed among full buffer users that are assumed to have an infinite amount of data in the packets buffer. An open-source modeling tool is used to solve the Resource Blocks (RBs) optimization problem of QAS. System-level simulations are performed to investigate the performance of the proposed scheduler and compare it to the benchmark schedulers namely Round Robin (RR) and Best Channel Quality Indicator (CQI).