An infinite time-horizon resource allocation problem is formulated to maximize the time-averaged multi-input multi-output (MIMO) downlink throughput, subject to a time-averaged energy cost budget. By using the advanced time decoupling technique, a novel stochastic subgradient based online control (SGOC) approach is developed for the resultant smart-grid powered communication system. It is analytically established that even without a-priori knowledge of the underlying random processes, the proposed online algorithm is capable of yielding a feasible and asymptotically optimal solution.
['Xiaojing Chen', 'Tianyi Chen', 'Xin Wang', 'Georgios B. Giannakis']
Stochastic online control for smart-grid powered MIMO downlink transmissions