Downlink Joint Beamforming and Power Control for Energy Efficient Multiuser MISO System

We address the energy-efficient optimization for MU-MISO (multi user multi-input single-output) downlink. An energy efficiency (EE) optimization model under the SINR constraints is proposed, and the feasibility conditions of the proposed EE optimization model is derived. Base on the model, a novel strategy that separates EE optimization to the sum of rates maximization and total transmit power approximation is proposed. Following this strategy, a convex approximation and geometric programming based algorithm is further developed to adjust beamformers and powers jointly. The algorithm is good at EE performance and practicality. The comprehensive numerical results are provide to demonstrate the significant EE performance gain achieved by our algorithm, and the convergence of proposed algorithm is proved by both theory analysis and simulation.