Open AccessModelling and Development of a Radio Resource Control and Scheduling Algorithm for Long-Term Evolution (LTE) Uplink
Author(s) -
Olawale Oluwasegun Ogunrinola,
Isaiah Opeyemi Olaniyi,
Segun A. Afolabi,
Gbemiga Abraham Olaniyi,
Olushola Emmanuel Ajeigbe
Publication year - 2021
Publication title -
review of computer engineering studies/review of computer engineer studies
Language(s) - English
Resource type - Journals
eISSN - 2369-0763
pISSN - 2369-0755
DOI - 10.18280/rces.080201
Subject(s) - telecommunications link , computer science , base station , scheduling (production processes) , orthogonal frequency division multiple access , computer network , cellular network , particle swarm optimization , space division multiple access , real time computing , algorithm , mathematical optimization , orthogonal frequency division multiplexing , mathematics , channel (broadcasting)
Modern radio communication services transmit signals from an earth station to a high-altitude station, space station or a space radio system via a feeder link while in Global Systems for Mobile Communication (GSM) and computer networks, the radio uplink transmit from cell phones to base station linking the network core to the communication interphase via an upstream facility. Hitherto, the Single-Carrier Frequency Division Multiple Access (SC-FDMA) has been adopted for uplink access in the Long-Term Evolution (LTE) scheme by the 3GPP. In this journal, the LTE uplink radio resource allocation is addressed as an optimization problem, where the desired solution is the mapping of the schedulable UE to schedulable Resource Blocks (RBs) that maximizes the proportional fairness metric. The particle swarm optimization (PSO) has been employed for this research. PSO is an algorithm that is very easy to implement to solve real time optimization problems and has fewer parameters to adjust when compared to other evolutionary algorithms. The proposed scheme was found to outperform the First Maximum Expansion (FME) and Recursive Maximum Expansion (RME) in terms of simulation time and fairness while maintaining the throughput.