TY - JOUR
T1 - Smart bandwidth assignation in an underlay cellular network for internet of vehicles
AU - de la Iglesia, Idoia
AU - Hernandez-Jayo, Unai
AU - Osaba, Eneko
AU - Carballedo, Roberto
N1 - Publisher Copyright:
© 2017 by the authors.
PY - 2017/9/27
Y1 - 2017/9/27
N2 - The evolution of the IoT (Internet of Things) paradigm applied to new scenarios as VANETs (Vehicular Ad Hoc Networks) has gained momentum in recent years. Both academia and industry have triggered advanced studies in the IoV (Internet of Vehicles), which is understood as an ecosystem where different types of users (vehicles, elements of the infrastructure, pedestrians) are connected. How to efficiently share the available radio resources among the different types of eligible users is one of the important issues to be addressed. This paper briefly analyzes various concepts presented hitherto in the literature and it proposes an enhanced algorithm for ensuring a robust co-existence of the aforementioned system users. Therefore, this paper introduces an underlay RRM (Radio Resource Management) methodology which is capable of (1) improving cellular spectral efficiency while making a minimal impact on cellular communications and (2) ensuring the different QoS (Quality of Service) requirements of ITS (Intelligent Transportation Systems) applications. Simulation results, where we compare the proposed algorithm to the other two RRM, show the promising spectral efficiency performance of the proposed RRM methodology.
AB - The evolution of the IoT (Internet of Things) paradigm applied to new scenarios as VANETs (Vehicular Ad Hoc Networks) has gained momentum in recent years. Both academia and industry have triggered advanced studies in the IoV (Internet of Vehicles), which is understood as an ecosystem where different types of users (vehicles, elements of the infrastructure, pedestrians) are connected. How to efficiently share the available radio resources among the different types of eligible users is one of the important issues to be addressed. This paper briefly analyzes various concepts presented hitherto in the literature and it proposes an enhanced algorithm for ensuring a robust co-existence of the aforementioned system users. Therefore, this paper introduces an underlay RRM (Radio Resource Management) methodology which is capable of (1) improving cellular spectral efficiency while making a minimal impact on cellular communications and (2) ensuring the different QoS (Quality of Service) requirements of ITS (Intelligent Transportation Systems) applications. Simulation results, where we compare the proposed algorithm to the other two RRM, show the promising spectral efficiency performance of the proposed RRM methodology.
KW - Intelligent transportation systems
KW - Internet of vehicles
KW - QoS requirements
KW - Smart bandwith utilization
KW - Smart wireless technologies
KW - VANETs
UR - https://www.scopus.com/pages/publications/85030167508
U2 - 10.3390/s17102217
DO - 10.3390/s17102217
M3 - Article
C2 - 28953256
AN - SCOPUS:85030167508
SN - 1424-8220
VL - 17
JO - Sensors
JF - Sensors
IS - 10
M1 - 2217
ER -