Since the emergence of device-to-device (D2D) communications. an efficient resource allocation (RA) scheme with low-complexity suited for high variability of network environments has been continuously demanded. As a solution. we propose a RA scheme based on deep reinforcement learning (DRL) for D2D communications exploiting cluster-wise non-orthogonal multiple access (NOMA) protocol u... https://www.roneverhart.com/Sheepshead-Bay-Boats-2-Brooklyn-NY/