Joint Optimization of Resources in Fog-Radio Access Network with Binary Computation Offloading

Figure 4

Convergence of the proposed DDQN algorithm under different criteria as follows: (a) learning rate; (b) public experience pool size; (c) batch size; (d) loss function.

(a)

(b)

(c)

(d)