An Efficient Proportional Fair MAC Scheduling for Resource Allocation in 5G Millimeter Wave Networks

Abstract

Millimeter-wave (mmWave) technology is considered one of the major technologies for fifth-generation (5G) frameworks to meet the massive thirst for data traffic by guaranteeing enormous transmission capacity in the uplink, downlink, and backhaul links. However, medium access network (MAC) scheduling and admission control with respect to transmission control protocol (TCP) are still complicated in 5G heterogeneous networks. In addition, with the increasing number of users using mmWave communications, network attributes could be changed. In this paper, we design and implement a proportional fair (PF) scheduling algorithm in the MAC layer using network simulator-3 (ns3). This research inspects the downlink resource allocation among multiple users simultaneously in 5G heterogeneous networks. The simulation result depicts that the proposed approach outperforms the existing approach by an overall 14% in terms of SINR and throughput. The investigation through the proposed scheduler might be used to show the capability of 28 GHz frequency for mmWave communication and its commendable for future 5G systems with more complex structures.