Distributed robust resource allocation for renewable powered wireless cellular networks

Abstract

A novel framework is introduced to integrate renewable energy sources (RES) into beamforming designs for smart grid powered coordinated multi-point (CoMP) communication systems. Practical models are put forth to account for the variable RES, time-varying energy prices, as well as stochastic wireless channels. Capitalizing on the proposed models, a robust resource allocation task is formulated for the energy management and transmit-beamforming designs. The resultant convex optimization problem minimizes the worst-case energy transaction cost while guarantees the users' quality of service (QoS) robust to channel uncertainties. A dual decomposition method is developed to obtain the optimal operating point in a distributed fashion. Numerical results are provided to corroborate the merits of the novel approach.