M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 3 Issue 12, December 2014
Optimization of Power Consumption in MIMO Cellular Networks using Dynamic Semi Definite Relaxation
Abstract: In this paper, the optimization of power consumption in MIMO cellular networks to improve the performance using dynamic semi-definite relaxation in terms of signal-to-interference-and-noise (SINR) ratio and optimal transmission power (OTP) is done. A MIMO cellular network where a base station (BS) can transmit data symbols to a fixed mobile station (MS) is considered. The algorithm is designed to decrease the number of active cooperation links and simultaneously optimize the beam forming vectors between the cooperative BSs subject to signal-to-interference-and-noise-ratio (SINR) constraints at the mobile station. We first propose dynamic algorithm based on MATLAB to solve the power optimization problem. Then comparison of the peak OTP, peak SINR, average OTP and average SINR of the proposed scheme with existing one is done.
Keywords: SINR Signal to Interference Noise Ratio, OTP Optimal Transmission Power, SNR Signal to Noise Ratio, MIMO Multiple Input and Multiple Output
Edition: Volume 3 Issue 12, December 2014,
Pages: 632 - 636
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