Joint Proportional Fairness Scheduling Using Iterative Search for MmWave Concurrent Transmission

Millimeter wave (mmWave) will play a significant role as a 5G candidate in facing the growing demand of enormous data rate in the near future. The conventional mmWave standard, IEEE 802.11ad, considers establishing only one mm Wave link in wireless local area network (WLAN) to provide multi Gbps data rate. But, mm Wave has a tenuous channel which hinders it from providing such rate. Hence, it's necessary to establish multiple mm Wave links simultaneously by deploying a multiple number of mmWave access points (APs) in 5G networks. Unfortunately, applying conventional standard without any modifications for mmWave concurrent transmission impedes mm Wave APs from selecting optimum mmWave concurrent links. Because IEEE 802.11ad standard associates the user equipment (UEs) to mmWave APs using the link that has the maximum received power without considering mutual interference between simultaneous links. In this paper, a joint proportional fairness scheduling (JPFS) optimization problem for establishing optimum mmWave concurrent transmission links is formulated. However, it is highly complicated to find a solution to this non-polynomial (NP) time problem using exhaustive search. Hence, an iterative search (IS) scheme is proposed to obtain a sub-optimal solution to it with highly relaxing its complexity. Numerical simulation proves the effectiveness of using the proposed IS scheme to improve the system performance and reduce the system complexity.