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

Abstract

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).

A Comparative Experimental Analysis of Channel Access Protocols in Vehicular Networks

“…In [15], the authors developed an optimization problem to find the optimal beacon frequency by maximizing a utility function that considers the safety messages reliability. The authors in [16] analyzed the transmission success probability (TSP) of IEEE802.11p and expressed the distribution of TSP percentiles across the network. The authors solved an optimization problem to maximize the throughput by choosing the optimal transmission data rate.…”