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The integration of renewable energy sources (RES) has facilitated efficientand sustainable resource allocation for wireless communication systems. In thispaper, a novel framework is introduced to develop coordinated multicellbeamforming (CMBF) design for wireless cellular networks powered by a smartmicrogrid, where the BSs are equipped with RES harvesting devices and canperform two-way (i.e., buying/selling) energy trading with the main grid. Tothis end, new models are put forth to account for the stochastic RESharvesting, two-way energy trading, and conditional value-at-risk (CVaR) basedenergy transaction cost. Capitalizing on these models, we propose a distributedCMBF solution to minimize the grid-wide transaction cost subject to userquality-of-service (QoS) constraints. Specifically, relying on state-of-the-artoptimization tools, we show that the relevant task can be formulated as aconvex problem that is well suited for development of a distributed solver. Tocope with stochastic availability of the RES, the stochastic alternatingdirection method of multipliers (ADMM) is then leveraged to develop a noveldistributed CMBF scheme. It is established that the proposed scheme isguaranteed to yield the optimal CMBF solution, with only local channel stateinformation available at each BS and limited information exchange among theBSs. Numerical results are provided to corroborate the merits of the proposedscheme.

Distributed Coordinated Multicell Beamforming for Wireless Cellular Networks Powered by Renewables: A Stochastic ADMM Approach