Joint Proportional Fairness Scheduling Using Iterative Search for mmWave Concurrent Transmission

TL;DR

This paper proposes a joint proportional fairness scheduling method for mmWave concurrent transmission, optimizing link selection to enhance system performance in 5G WLANs with multiple access points.

Contribution

It formulates a novel JPFS optimization problem for mmWave concurrent links and applies an exhaustive search scheme to solve it, improving link selection and system throughput.

Findings

Exhaustive search improves system performance in mmWave concurrent transmission.

The proposed JPFS method enhances link fairness and throughput.

Simulation results validate the effectiveness of the approach.

Abstract

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 mmWave link in wireless local area network (WLAN) to provide multi Gbps data rate. But, mmWave has a tenuous channel which hinders it from providing such rate. Hence, it's necessary to establish multiple mmWave 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 mmWave 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. And, to find a solution to this non-polynomial (NP) time problem, we use exhaustive search (ES) scheme. Numerical simulation proves the effectiveness of using the ES scheme to improve the system performance.