A Predictive Resource Allocation for Wireless Communications Systems

Autor:	Marcio Jose Teixeira, Varese S. Timóteo
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	business.industry Computer science Frame (networking) Real-time computing Throughput Spectral efficiency Kalman filter Event-driven simulation Mobile networks Filter (video) Packet loss Wireless Resource allocation Predictive scheduler business Original Research
Zdroj:	Sn Computer Science
ISSN:	2661-8907 2662-995X
Popis:	Using event-driven computer simulations, we test a predictive resource allocation scheme for broadband wireless communications systems based on the Kalman Filter. We implemented the filter in six different scheduling algorithms and selected the best performing of them (EXP Rule and FLS) for a detailed analysis. We considered several simulation scenarios with velocities ranging from 0 to 350 km/h representing pedestrian, vehicular and high-speed train scenarios. We also considered different traffic profiles by changing the number of mobile devices between 10 and 250. Our simulations showed improvement in throughput, spectral efficiency, and a decrease in packet loss rates for two schedulers: the EXP Rule and the Frame Level Scheduler. Our predictor can be applied to any wireless system that performs centralized resource allocation based on data rate or any other quantity that needs to be estimated for resource distribution in a network.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29a63636fc81368d628365887b7a603c http://europepmc.org/articles/PMC8475352 Zobrazit plný text záznamu Full text from SpringerLink