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The main advantage of the Q-learning algorithm is therefore the minimization of control information sent between the secondary nodes and the coordinator node.
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The evaluation of the weight coefficient is described as follows: W = X + sumlimits_{{b in N_{text{br}} }} {Z_{b} } (9 where X is the branch state (0 for close branches and inf for open branches); Z b is the impedance of the branch b and N br is the branches lying in the path between the secondary node (node R) of the branch in sub-graph D N and the substation node.
We will consider the square surface {(x,y) : x ∈ [0,1], y ∈ [0,1]}, and vary the position of the secondary nodes (relative to the primary nodes) over a regular square grid of size 11×11, that is, we will move the secondary transmitter and receiver over this grid, always parallel to the line between primary transmitter and receiver (as in Figure2).
The cost of data transfer from the secondary nodes to the primary node should be at a minimum.
The primary node measures blood pressure, while the secondary node measures blood oxygen.
Primary and secondary nodes are synergistic, that is to say, the primary node sends messages to the control node S while the secondary node sends messages by virtue of primary nodes at the same time.
Subsequently, we have investigated the performance of rate splitting in th e Gaussian channel where it has been found that rate splitting by the secondary user is useless when the channel between the secondary transmitter and the primary receiver supports larger rate than the channel between the two secondary nodes.
This method can guarantee the strong consistency between primary and secondary nodes.
Since polarimetric diversity does not allow a perfect orthogonality between primary and secondary nodes' transmissions, its use is possible under the application of a so-called underlay paradigm [10, 22, 23].
The link hub- S1- S11 means the two-hop connection between the hub and secondary node S11, and hub- S2- S21 means the two-hop connection between the hub and secondary node S21.
The results indicate that a good trade-off between speed and accuracy is achieved with the number of secondary nodes equal to 5. The programs are written in C++ and rely on the Standard Template Library and OpenMP.
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