Maximizing Energy Efficiency in Downlink Massive MIMO Systems by Full-complexity Reduced Zero-forcing Beamforming

  • Authors

    • Adeeb Salh
    • Lukman Audah
    • Nor. S. M. Shah
    • Shipun. A. Hamzah
    https://doi.org/10.14419/ijet.v7i4.1.19487

    Received date: September 11, 2018

    Accepted date: September 11, 2018

    Published date: September 12, 2018

  • Massive MIMO, Fifth Generation (5G), Energy Efficiency, Zero Forcing, Downlink.

  • Abstract

    Energy efficiency (EE) is one of the key design goals for fifth-generation (5G) cellular networks due to the intermittent properties of renewable energy sources and limited battery capacity. In this paper, we analyze the EE of downlink (DL) massive multi-user multiple-input multiple-output (MIMO) system based on circuit power consumption for the transmit antenna configuration. We designed full complexity reduced zero-forcing (ZF) beamforming to cancel out interbeam interference when the number of antennas   and minimized the power consumption model, when formulating the power allocation optimization problem with the Lagrange duality method, in order to maximize EE. Simulation results revealed that the EE in the base station (BS) could be improved when the number of radio frequency (RF) chains was proportional to the optimal transmit power allocation and when the consumption circuit power was comparable to the transmit power.

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  • How to Cite

    Salh, A., Audah, L., S. M. Shah, N., & A. Hamzah, S. (2018). Maximizing Energy Efficiency in Downlink Massive MIMO Systems by Full-complexity Reduced Zero-forcing Beamforming. International Journal of Engineering and Technology, 7(4.1), 33-36. https://doi.org/10.14419/ijet.v7i4.1.19487