Energy Efficiency Optimization in MIMO cellular networks using dynamic semi definite relaxation

ABSTRACT In this paper, energy efficiency optimization in MIMO cellular networks is done to improve the performance using dynamic semi-definite relaxation in terms of signal-to-interference-and-noise (SINR) ratio and optimal transmission power (OTP). A MIMO cellular network is considered where a base station (BS) can transmit data symbols to a fixed mobile station (MS). An algorithm is proposed to decrease the number of active cooperation links and at the same time optimize the beam forming vectors among the cooperative BSs subject to signal-to-interference-and-noise-ratio (SINR) constraints at the mobile station. A dynamic algorithm is proposed based on MATLAB to solve the energy efficiency problem and then compares the peak OTP, peak SINR, average OTP and average SINR of the proposed scheme with semi definite relaxation.