Abstract
Higher requirements must be put forward about wireless signal transmission in harsh environments. Energy loss mitigation, channel estimation, noise interference reduction demands high quality of service in wireless communication. In the fifth generation wireless communication, massive multiple-input multiple-output (MIMO) networks have been used and play a significant role to fulfill the requirements. Cell-Free massive MIMO networks are recognized as possible solution in the future wireless communication. Spectral efficiency (SE) is a very important index in assessing massive MIMO networks. This article tries to optimize both SE and power control of cell-free massive MIMO networks. Both uplink and downlink transmission are included in the study. The optimization model contains both SE and power control of massive MIMO networks. To tackle the model, a novel ensemble method is developed inspired by ensemble learning. The ensemble method is built up on the neighborhood field optimization method. The goodness of the developed ensemble method is verified by comparing with genetic algorithm, gradient descent method and Newton method. Extensive simulations are performed to study the optimization of SE and power control. Different wireless sensors are taken into consideration to simulate different requirements of massive MIMO networks. The results demonstrate the effectiveness of the proposed method for applying in massive MIMO networks.
Highlights
Wireless signal is a kind of electromagnetic wave, which is transmitted in a straight line in space
In this article, both Spectral efficiency (SE) and EE power control are optimized for cell-free massive multiple-input multiple-output (MIMO) networks
Both uplink and downlink transmission are considered in the study
Summary
Wireless signal is a kind of electromagnetic wave, which is transmitted in a straight line in space. The wireless signal is subject to other energy loss and various noise interferences Under such bad communication environments, how to ensure real-time and accurate data communication has become a research hotspot [1]. X. Zhang et al.: SE Improvement and Power Control Optimization of Massive MIMO Networks. In [12], to against the active pilot spoofing attack, the authors proposed a new effective solution called the spatial spectrum method which could effectively detect and locate the eavesdropper in MIMO communication systems to ensure the secret and secure transmission of information. Performance improvement of massive MIMO networks is formulated to a minimization model Both uplink and downlink data transmission are discussed, which is more realistic than considering uplink or downlink alone.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
