A framework is introduced to integrate renewable energy sources (RES) and
dynamic pricing capabilities of the smart grid into beamforming designs for
coordinated multi-point (CoMP) downlink communication systems. To this end,
novel models are put forth to account for harvesting, storage of
nondispatchable RES, time-varying energy pricing, as well as stochastic
wireless channels. Building on these models, robust energy management and
transmit-beamforming designs are developed to minimize the worst-case energy
cost subject to the worst-case user QoS guarantees for the CoMP downlink.
Leveraging pertinent tools, this task is formulated as a convex problem. A
Lagrange dual based subgradient iteration is then employed to find the desired
optimal energy-management strategy and transmit-beamforming vectors. Numerical
results are provided to demonstrate the merits of the proposed robust designs.