Figure 3

Primal and dual iterates in dual stochastic gradient descent. Evolution of dual variables λ _i (t) and rates r _i (t) for representative nodes with average channels$\mathbb{E}{h}_1\left(t\right)=1$ and$\mathbb{E}{h}_9\left(t\right)=3$ for the algorithm in (93)–(97) are shown. Multipliers λ _i (t) and capacities c _i (t) do not converge, but ergodic rates${\bar{c}}_i\left(t\right)$ do.