Demand based Proportional Fairness Scheduling for 5G eMBB Services

Abstract

Millimeter wave (mmWave) based 5G networks have nowadays attracted researcher from both industry and academia. Because, mmWave can enable dominant 5G services such as ultra-high definition video streaming and virtual reality, by providing them with their requirements, e.g., high data rate and low latency time. But, mmWave channel dynamically changes, which effects on overall performance of 5G network. Hence, efficient radio resource management schemes are needed in medium access control (MAC) layer to wisely distribute mmWave band resources among user equipment (UEs). In this paper, we design a high performance MAC scheduling scheme by improving standard proportional fairness (SPF) scheduling algorithm. In which, UEs demands are considered besides their channel condition. The proposed demand based proportional fairness (D-PF) scheme firstly gives higher priority to UEs with lower data rates requirements and better channel condition, hence higher UEs satisfaction level can be obtained faster. Then, it prioritizes them only based on their channel qualities if their required rates are achieved. Through simulation, we prove that the proposed scheme outperforms the conventional round robin (RR) and SPF algorithms in terms of system throughput, where an increase of more than 300 Mbps can be achieved, with maintaining same fairness between UEs. Meanwhile, D-PF scheme provides better throughput and satisfaction for UEs. For example, it can satisfy 95% of network UEs by providing them with their required rates, while only 61% and 62% of UEs can be satisfied if RR or SPF is used, respectively.