z-logo
open-access-imgOpen Access
Simulation analysis of key technology optimization of 5G mobile communication network based on Internet of Things technology
Author(s) -
Yan Guo
Publication year - 2019
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1177/1550147719851454
Subject(s) - computer science , the internet , key (lock) , mobile telephony , base station , telecommunications , computer network , energy consumption , computer security , world wide web , mobile radio , electrical engineering , engineering
With the rapid development of mobile Internet and Internet of Things business, the 5G mobile communication process has been accelerated. This article summarizes the Internet technology under 5G mobile communication, analyses the connotation of Internet of Things, and studies the integration of 5G mobile communications and Internet of Things technology. Through the analysis and discussion of the new possibilities in the Internet of Things era under 5G mobile communication technology, the research shows that the simulation analysis combined with the cell breathing technology and the base station dormancy technology aims to decrease the energy consumption of the base station under the premise of ensuring the communication quality, thereby improving the network energy efficiency. Research shows that in the dense and uniform user distribution scenario, the power consumption has a small decrease due to the increase of power consumption, but the system capacity is significantly improved and the communication quality is improved. It can ensure the user’s fairness and system capacity to achieve, and meet the rate requirements of different users. The analog results verify the accuracy of the theoretical analysis.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom