期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2020
卷号：18
期号：6
页码：2842-2851
DOI：10.12928/telkomnika.v18i6.15952
出版社：Universitas Ahmad Dahlan
摘要：The proliferation of wireless services emerging from use cases of fifth-generation (5G) technology is posing many challenges on cellular communication infrastructure. They demand to connect a massive number of devices with enhanced data rates. The massive multiple-input multiple-output (MIMO) technology at millimeter-wave (mmWave) in combination with hybrid precoding emerges as a concrete tool to address the requirements of 5G network developments. But Massive MIMO systems consume significant power for network operations. Hence the prior role is to improve the energy efficiency by reducing the power consumption. This paper presents the power optimization models for massive MIMO systems considering perfect channel state information (CSI) and imperfect CSI. Further, this work proposes an optimal hybrid precoding solution named extended simultaneous orthogonal matching pursuit (ESOMP). Simulation results reveal that a constant sum-rate can be achieved in massive MIMO systems while significantly reducing the power consumption. The proposed extended SOMP hybrid precoder performs close to the conventional digital beamforming method. Further, modulation schemes compatible with massive MIMO systems are outlined and their bit error rate (BER) performance is investigated.
