QoS and Coverage Aware Dynamic High Density Vehicle Platooning (HDVP)
In a self-driving environment, vehicles communicate with each other to create a closely spaced multiple vehicle strings on a highway, i.e., high-density vehicle platooning (HDVP). In this paper, we address the Cellular Vehicle to Everything (C-V2X) quality of service (QoS) and radio coverage issues for HDVP and propose a dynamic platooning mechanism taking into account the change of coverage condition, the road capacity, medium access control (MAC) and spectrum reuse while at the same time guaranteeing the stringent QoS requirements in terms of latency and reliability.
Code (0)
등록된 구현이 없습니다.
Tasks
Vocal Bursts Intensity PredictionSimilar Papers 제목 키워드 기반
Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols
This paper presents an enhanced Vehicle-to-Everything (V2X) communication system featuring adaptive Medium Access Control (MAC) using game theory. Our approach integrates dynamic transmission power control, dynamic beaco…
Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage
Deployment of unmanned aerial vehicles (UAVs) performing as flying aerial base stations (BSs) has a great potential of adaptively serving ground users during temporary events, such as major disasters and massive events. …
Density EstimationDensity-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks
Unmanned aerial vehicles (UAVs) serving as aerial base stations can be deployed to provide wireless connectivity to mobile users, such as vehicles. However, the density of vehicles on roads often varies spatially and tem…
Multi-agent Reinforcement Learningreinforcement-learningPerformance and Scaling of Collaborative Sensing and Networking for Automated Driving Applications
A critical requirement for automated driving systems is enabling situational awareness in dynamically changing environments. To that end vehicles will be equipped with diverse sensors, e.g., LIDAR, cameras, mmWave radar,…
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning
High-definition (HD) Map systems will play a pivotal role in advancing autonomous driving to a higher level, thanks to the significant improvement over traditional two-dimensional (2D) maps. Creating an HD Map requires a…
Autonomous DrivingAutonomous VehiclesQ-Learning