Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems

Abstract

5G technology can greatly improve spectral efficiency (SE) and throughput of wireless communications. In this regard, multiple input multiple output (MIMO) technology has become the most influential technology using huge antennas and user equipment (UE). However, the use of MIMO in 5G wireless technology will increase circuit power consumption and reduce energy efficiency (EE). In this regard, this article proposes an optimal solution for weighing SE and throughput tradeoff with energy efficiency. The research work is based on the Wyner model of uplink (UL) and downlink (DL) transmission under the multi-cell model scenario. The SE-EE trade-off is carried out by optimizing the choice of antenna and UEs, while the approximation method based on the logarithmic function is used for optimization. In this paper, we analyzed the combination of UL and DL power consumption models and precoding schemes for all actual circuit power consumption models to optimize the trade-off between EE and throughput. The simulation results show that the SE-EE trade-off has been significantly improved by developing UL and DL transmission models with the approximation method based on logarithmic functions. It is also recognized that the throughput-EE trade-off can be improved by knowing the total actual power consumed by the entire network.

Teaching and Learning Optimization method for multi- channel wireless mesh networks with MIMO links

“…Dikmen et al [26] examined about power allocation algorithms for MIMO systems. Asif et al [27] proposed an optimal solution for weighing spectral efficiency and throughput tradeoff with energy efficiency.…”

Energy and Spectral Efficiency Optimization Methods in 5G Massive Mimo Systems

“…The signal-to-interference-plus-noise ratio (SINR) is one of the very important metrics as it is widely used in theoretical studies specifically in channel capacity, and it allows an upper limit to be set on the information-carrying capacity. It is used to set an upper limit on the information carrying capacity of a given communication system [18], [19]:…”

“…In addition, the use of more antennas leads to a higher power consumption of the circuit. In terms of energy efficiency, the significant increase in base stations in cellular networks shows that the total energy consumed in the whole network is about 60 − 80% [19] − [20]. The massive MIMO system aims at reducing the transmit power created by high power gain and provides higher EE.…”

Learned-SBL-GAMP based hybrid precoders/combiners in millimeter wave massive MIMO systems

“…In hybrid architecture, the precoders and combiners are designed by a combination of analog and digital precoders and combiners for processing the transmitting and receiving signals along with reducing the cost. We get high beamforming gain due to the analog domain and high multiplexing gain with reduced spectral efficiency due to the digital domain [12,13]. Also, along with the cost reduction in mmWave systems, the complexity and the power efficiency of the system get improved because of using fewer RF chains compared to the antennas.…”