Network-Wide Throughput Optimization for Highway Vehicle-To-Vehicle Communications

This letter analyzes the meta-distribution of the transmission success probability (TSP) for vehicular networks based on a one-dimensional Poisson point process (PPP). We also propose a method to maximize the throughput across the vehicular network. Compared to the conventional spatial average perfo...

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Bibliographic Details
Published in:Electronics (Basel) 2019-08, Vol.8 (8), p.830
Main Authors: Abd El-Gawad, Mohamed A., ElSawy, Hesham, Sakr, Ahmed Hamdi, Kim, HyungWon
Format: Article
Language:English
Subjects:
Algorithms
Communication
Human error
Optimization
Performance assessment
Probability
Protocol
Queuing theory
Random variables
Roads & highways
Success
Traffic congestion
Vehicles
Wireless networks
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Summary:This letter analyzes the meta-distribution of the transmission success probability (TSP) for vehicular networks based on a one-dimensional Poisson point process (PPP). We also propose a method to maximize the throughput across the vehicular network. Compared to the conventional spatial average performance assessment, the meta-distribution reveals the fraction of vehicles that operate at a target success rate of transmission across the highway. To this end, we propose a per-vehicle rate selection scheme to keep a target quality of service (QoS) level for all vehicles. The results reveal that operating at the spatially-averaged maximum throughput may lead to excessive variation in the performance of individual vehicles. However, with the proposed meta-distribution-aware rate selection scheme, the throughput variation among the vehicles can be significantly reduced (e.g., up to a 60 % reduction).
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics8080830