PRESS: Predictive Assessment of Resource Usage for C-V2V Mode 4

Vehicle-to-Everything (V2X) communication is a key enabling factor for fully autonomous driving vehicles. To this end, the 3GPP has introduced Cellular V2X (C-V2X) standards in Release 14. For Vehicle-to-Vehicle (V2V) communication, C-V2X provides the distributed resource allocation mode, termed Mode 4, which works for sensing-based semi-persistent scheduling. However, because of the sensing-based and distributed nature, Mode 4 suffers resource collision due to congestion, channel performance degradation due to blockage, etc. Thus, making an accurate assessment of resource use in Mode 4 becomes an important issue. To address this issue, we propose a scheme for PREdictive assessment of resource usage in C-V2V Mode 4, named PRESS. In PRESS, each vehicle leverages aggregate reselection counter information to predict the channel usage status for future resource use. With the assessment of resource usage related to the transmission time, a VUE can increase the possibility of choosing the least used resources. Through simulation, we confirm that PRESS outperforms the legacy scheme in terms of packet reception ratio.