Enhanced Autonomous Resource Selection Algorithm for Cooperative Awareness in Vehicular Communication

Abstract

With rapid development in wireless communication, Intelligent Transportations System (ITS) has received significant attention. This system delivers various social and economic benefits including efficient traffic management, lesser prone to accidents, reduced air pollution and enabling of unmanned driving for enhanced leisure. ITS is enabled through real-time communication either Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) modes of intra-infrastructure communication. LTE-V2V is seen as a major technology towards ITS implementation. In this paper, we discuss various autonomous resource selection techniques available for Mode-4 V2V communication under LTE-A network. An enhanced resource selection scheme based on exponential averaging in time domain and normalized scaling in frequency domain is being proposed. Simulation results show the efficacy of the proposed algorithm in terms of packet reception ratio (PRR), error rate and update delay. The proposed scheme enables low latency transmission of cooperative awareness messages while maintaining high PRR and low error rate.