Abstract
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.
Highlights
Cooperative driving is expected to provide advance services in order to increase road safety, improve traffic management and create different new business opportunities for mobility services.In this way, the automobile industry is expected to increase their profit margin of Euro 54 billion in to Euro 79 billion by 2020 [1].In the scenario of ITS, cooperative vehicular systems are a key factor to report information to the drivers in real time and to gather accurate information about the traffic flow and events that occur during driving
In the previous subsection we have addressed the possible pairing of C-UE and V-UE
This fact evidences that our aim is to minimize the number of RBs used, or in other words, maximize the number of pairs which is easier when there is the same number of C-UEs and V-UEs
Summary
Cooperative driving is expected to provide advance services in order to increase road safety, improve traffic management and create different new business opportunities for mobility services.In this way, the automobile industry is expected to increase their profit margin of Euro 54 billion in to Euro 79 billion by 2020 [1].In the scenario of ITS, cooperative vehicular systems are a key factor to report information to the drivers in real time and to gather accurate information about the traffic flow and events that occur during driving. Cooperative driving is expected to provide advance services in order to increase road safety, improve traffic management and create different new business opportunities for mobility services. In this way, the automobile industry is expected to increase their profit margin of Euro 54 billion in to Euro 79 billion by 2020 [1]. FCD (Floating Car Data), thanks to the creation of V2V and Vehicle-to-Infrastructure (V2I or I2V) links, giving rise to -ITS (Cooperative-ITS) [2]. In this context, the evolution of the Internet of Things (IoT). Paradigm into new application scenarios as VANETs, introduced the definition of new terms such as Internet of Vehicles (IoV) [3] , creating a development framework that requires specific QoS attributes, as very a low latency to provide fast response to the events on the road [4].
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