Optimal Energy Efficiency for Multi-Cell Massive MIMO Systems with Pilot Scheduling

For interpreting the concern about pilot contamination and energy efficiency, this particular work decides to study the result of the maximization of EE before handling pilot contamination in the massive MIMO multi-cell TDD system. Through three linear precoding methods, the models are analyzed and the closed-form explicit are finished, respectively. After that, in the EE-maximized system, a scheduling way is proposed. It was settled on the maximum worst-case signal to interference and noise ratio (SINR) which will mostly intensify the bit error rate (BER) performance of that system. The cells in the network are purported to be symmetric. The planning strategy is simplified, by using this property along with a simulated annealing (SA) algorithm. The simulation result pretense about the definite quantity of EE-maximal antenna, which grows with the number of users. If we analyze the comparison between this and the scheduling system that does not count EE into consideration, the system in which maximal EE is deliberate before scheduling, that has a bigger quantity of reduction in the calculation at the cost of a sensible decrease in system performance.