Abstract

For downlink multi-cell massive multiple-input multiple-output (MIMO) system. An optimization algorithm for alternate iterations of energy efficiency (EE) is proposed. The system adopts minimum mean square error (MMSE) precoding. Average transmit power of the base station (BS) can be obtained according to the maximum outage probability allowed by the system and the minimum rate requirement of the user equipment (UE). An EE optimization model is established according to the average transmit power. Considering UEs and user data rate as constants to solve the optimal solution of the BS antennas. Then use the alternate iterative optimization algorithm until the EE reaches the optimum. Results illustrate that the proposed algorithm can obtain better EE performance with fewer antennas.

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