ABSTRACT
In this chapter, we propose a multi-objective power optimization design in a multicell multiuser multiple-input multiple-output beamforming system in the future era of green communications for energy efficiency. First, we consider a multicell multiuser MIMO system with multiple base stations (BSs) where each BS can serve multiple downlink mobile stations (MSs) simultaneously. Second, we formulate a multi-objective optimization problem to simultaneously minimize the downlink powers of different groups of cells subject to the signal-to-interference plus noise ratio constraints. An indirect method is proposed to transform the MOP of multi-objective power minimization design of multicell multiuser MIMO beamforming system to a semidefinite programming (SDP)–constrained MOP. In order to efficiently solve the multi-objective power minimization problem with low computational complexity, a novel multi-objective evolutionary algorithm with modification is proposed to guarantee the global convergence of the Pareto optimal solutions. Finally, simulation results are provided to validate the performance and show the superiority of the proposed green multi-objective beamforming design to minimize the downlink power consumption of the MIMO beamforming system in different groups of cells simultaneously.
