MyJournals Home  

RSS FeedsEnergies, Vol. 12, Pages 4356: Enhancing the Energy Efficiency of mmWave Massive MIMO by Modifying the RF Circuit Configuration (Energies)

 
 

15 november 2019 16:00:02

 
Energies, Vol. 12, Pages 4356: Enhancing the Energy Efficiency of mmWave Massive MIMO by Modifying the RF Circuit Configuration (Energies)
 


Hybrid architectures are used in the Millimeter wave (mmWave) Massive MIMO systems, which use a smaller number of RF chains and reduces the power and energy consumption of the mmWave Massive MIMO systems. However, the majority of the hybrid architectures employs the conventional circuit configuration by connecting each of the RF chains with all the transmitting antennas at the base station. As a result, the conventional circuit configuration requires a large number of phase shifters, combiners, and low-end amplifiers. In this paper, we modify the RF circuit configuration by connecting each of the RF chains with some of the transmitting antennas of mmWave Massive MIMO. Furthermore, the hybrid analogue/digital precoders and decoders along with the overall circuit power consumptions are modelled for the modified RF circuit configuration. In addition, we propose the alternating optimization algorithm to enhance the optimal energy efficiency and compute the optimal system parameters of the mmWave Massive MIMO system. The proposed framework provides deeper insights of the optimal system parameters in terms of throughput, consumed power and the corresponding energy efficiency. Finally, the simulation results validate the proposed framework, where it can be seen that the proposed algorithm significantly reduces the power and energy consumptions, with a little compromise on the system spectral gain.


 
161 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 12, Pages 4353: Robust Design Optimization of Electromagnetic Actuators for Renewable Energy Systems Considering the Manufacturing Cost (Energies)
Energies, Vol. 12, Pages 4355: An Accurate, Light-Weight Wind Speed Predictor for Renewable Energy Management Systems (Energies)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten