… the allocation of resources to V2V communications; the authors of [… The study in [26] faced
the design of V2V communications … Similarly to [26], [27] considered mmWave communications …

… However, due to the high dynamics of V2V links, it can be … a machine learning (ML) approach
to achieve an efficient and fast analog beam selection for mmWave V2V communications. …

… and V2V communication as shown in Figure 2. The EV is equipped with V2V communication
… The SV is equipped with only V2V communication equipment. The perception system is …

… in V2V communications. • We expand on certain topics not widely explored in general V2V
communication … explore their connections to ML and V2V communications in general. • Unlike …

… As traditional handover methods use a break-before-make strategy, the authors also proposed
a soft handover for V2I communication via a V2V relay scheme, which improved spectrum …

… It can be employed to obtain an optimal resource allocation approach in V2V communications
to maximize the long-term expected accumulated discounted rewards, where the Q …

… to be faster, and even the communication, as well as other … industries to use machine
learning algorithms and artificial … V2V communication is sub category of V2X communication …

… Their experimental results showed that using V2V communication as part of the dissemination
mechanism could significantly reduce the reaction time of vehicles at the expense of …

… machine learning for 5G NR-V2V communication. The channel estimation problem was
transformed into the basis coefficients estimation problem by the BEM to capture the variation of …

… This article has provided an overview of the applications of machine learning for V2V
communica tions channel research. We have analyzed results on the data processing that …