Abstract
Vehicular networks are becoming increasingly dense due to expanding wireless services and platooning has been regarded as a promising technology to improve road capacity and on-road safety. Constrained by limited resources, not all communication links in platoons can be allocated to the resources without suffering interference. To guarantee the quality of service, it is required to determine the set of served services at which the scale of demand exceeds the capability of the network. To increase the number of guaranteed services, the resource allocation has to be adjusted to adapt to the dynamic environment of the vehicular network. However, resource re-allocation results in additional costs, including signal overhead and latency. To increase the number of guaranteed services at a low-cost in a resource-limited vehicular network, we propose a time dynamic optimization method that constrains the network re-allocation rate. To decrease the computational complexity, the time dynamic optimization problem is converted into a deterministic optimization problem using the Lyapunov optimization theory. The simulation indicates that the analytical results do approximate the reality, and that the proposed scheme results in a higher number of guaranteed services as compared to the results of a similar algorithm.
Highlights
V2I enables vehicle users to access roadside units (RSUs) for downloading or uploading data, which improves the stability of communication for vehicular users (VUs) with high mobility
To decrease the computational complexity, we convert the proposed time dynamic optimization problem into a deterministic optimization problem using the Lyapunov optimization theory to determine the set of served services based on the dynamic changes in the network at each slot
The non-outage probability is used to represent the quality of the channel [22,23]; the non-outage event is defined as a successful packet transmission on the condition that the signal-to-interference ratio (SIR) is larger than the threshold θ:
Summary
The demand for ubiquitous mobile services in an intelligent transportation system (ITS) is ever increasing to improve road safety and transport management [1]. V2V allows vehicle users to communicate directly within a group This decreases the path loss by reducing the distance, but is appropriate for many vehicular applications, including hazard warnings, path planning, vision sharing, and platooning [4,5]. Sensors 2018, 18, 3846 communication links can be allocated to a resource without suffering interference in dense networks. To increase the number of guaranteed services, the resource allocation has to be adjusted to adapt to the dynamic environment of the vehicular network. Our goal in this paper is to devise a low-cost resource re-allocation scheme that reduces the re-allocation rate and increases the number of guaranteed services
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
