Dynamic UL LTE Scheduler for Supporting Smart Grid Applications

Abstract

Cellular dependent Machine-to-Machine (M2M) infrastructure is one of the key internet of things (IoT) empowering advances with immense market potential for cell specialist organizations sending 4G long term evolution (LTE) systems. The motivation for this paper is to investigate whether current commercial 4G LTE systems can possibly bolster a portion of the evolving strategic IoT applications. To accomplish this goal, we propose and devise a basic hybrid LTE uplink (UL) scheduling algorithm that uses a common LTE's dynamic scheduling for supporting human to human (H2H) applications just as M2M applications and Semi-Persistent Scheduling (SPS) for strategic IoT services that consistently require steady radio resources sharing regularly. The simulation results show that present public 4G LTE networks can possibly sufficiently bolster a portion of the developing strategic smart grid applications including Phasor Measurement Units (PMUs), with a constraint latency as low as 20 ms and extraordinary reliability.