… in the multirelay network. In [34], deep reinforcement learning was applied … relay selection
for a two-hop relay network to speed up the convergence of training. The above relay selection …

… We consider an IoT network with a source node S, a destination node D, and other J IoT
nodes as potential DF relays {j}, where j ∈ J = {1,...,J}. This scenario is schematically depicted in …

… With the advent of internet-of-things (IoT) communication networks, and widespread … faced
for the practical realization of these dense IoT networks is constant power supply. Therefore, …

… emissions for green relay networks. In this paper, we study the joint relay selection and power
control problem for the Decode-and-Forward energy-harvesting wireless relay network. In …

… network performance, we next provided a relay-based communication model in which each
device is connected to the neighbor relay node selected by a relay selection … as a relaybased …

… an efficient deep convolutional neural network-based relay selection (CNS) scheme to …
-duplex Internet-of-Things (IoT) networks. In this system, multiple full-duplex relays harvest energy …

… Relay selection is proposed in this paper as an efficient … in energy harvesting cognitive
networks. The proposed … of the 5G system’s main use cases is Internet of Things (IoT). …

… Internet-of-Things (IoT) networks, some relays may lack … relay selection for relays that
harvest energy inherent in the radio-frequency (RF) signal sent from the source node. Each relay …

… relay. The outage probability is used to measure the system performance. We investigate
the outage probability of the optimal relay selection … conventional relay selection protocols. …

… in the massive IoT (mIoT) network, where a … relay-based IoT network, in which multiple
sources simultaneously transmit their information to the corresponding destinations via a relay …