Distributed multicell coordinated beamforming for cellular networks powered by renewables

A framework is introduced to develop coordinated multicell beamforming (CMBF) design for wireless cellular networks powered by renewable energy sources (RES). To this end, novel models are put forth to account for RES harvesting, two-way energy trading, and conditional value-at-risk (CVaR) based energy transaction cost. Building on these models, we propose a distributed CMBF solution that minimizes the system-wide CVaR cost subject to user quality-of-service (QoS) constraints, with only local channel state information at each BS and limited information exchange among BSs. Specifically, relying on the pertinent optimization tools, we show that this task can be formulated as a convex problem that is well suited for development of a distributed solver. To cope with stochastic availability of RES, the stochastic alternating direction method of multipliers (ADMM) is then leveraged to obtain the optimal CMBF scheme in a distributed manner. Numerical results are provided to demonstrate the merits of the proposed scheme.