Abstract
Systematic operations of Massive multiple-input multiple-output (MIMO) to increase the performance has been proposed. Even though there is no doubt that Massive MIMO is a key technology to increase both energy efficiency (EE) and spectral efficiency (SE), there are many parameters to determine in Massive MIMO systems, such as the number of operating service antennas, uplink and downlink radiation powers, and coverage distance. Since the communication environment changes rapidly, these parameters should be adaptively determined to increase the efficiency of the system. In this regard, we present a scheme of fast parameter determination based on the inverse of derived closed-form equations. Due to the channel hardening effect, the proposed method based on closed-form equations can be well applicable to real systems. We numerically analyze the proposed scheme in various situations to show the robustness in various environments. Downlink radiation power is divided by the number of user equipments (UEs), while uplink radiation powers from the distributed UEs are aggregated to the base station (BS). Within the same radiation power assumption, the downlink case requires more resources. When the number of UEs is much larger than the number of service antennas at BS, the increment of the radiation power for uplink and downlink little affect the performance. Simulation results are provided to validate the analytical results.
Published Version
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