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Millimeter wave (\texttt{mmWave}) channels in device to device (\texttt{D2D})communication are susceptible to blockages in spite of using directional beamsfrom multi-input multi-output (\texttt{MIMO}) antennas to compensate for highpropagation loss. This motivates one to look for the presence of obstacleswhile forming \texttt{D2D} links among user equipments (\texttt{UEs}) which arein motion. In \texttt{D2D} communication, moving \texttt{UEs} also act asrelays to forward data from one \texttt{UE} to another which introduces theproblem of relay selection. The problem becomes more challenging when theobstacles are also in motion (dynamic obstacles) along with the moving\texttt{UEs}. First we have developed a probabilistic model for relay selectionwhich considers both moving \texttt{UEs} and dynamic obstacles. Then we haveanalyzed the probability of dynamic obstacles blocking a link in 3D Euclideanspace by exploiting the information from \texttt{MIMO} radar connected to thebase station. Finally, using this information, we have developed uniquestrategies based on simple geometry to find the best relay which maximizes theexpected data rate. Through simulations we have shown that our proposedstrategy gives a significant improvement in packet loss due to mobility ofnodes and dynamic obstacles in a \texttt{mmWave} channel over traditionalapproaches which do not consider dynamic obstacle's presence.

Network-Assisted D2D Relay Selection Under the Presence of Dynamic Obstacles