Research on theoretical ultimate value of 5G flow residence ratio based on big data

Autor: Hongjia LIU, Bei LI, Wei ZHAO, Guoping XU, Xinyan WANG
Jazyk: čínština
Rok vydání: 2023
Předmět:
Zdroj: Dianxin kexue, Vol 39, Pp 112-119 (2023)
Druh dokumentu: article
ISSN: 1000-0801
DOI: 10.11959/j.issn.1000-0801.2023119
Popis: The 5G flow residence ratio is an important indicator used by communication operators to evaluate the coverage capacity of 5G networks, and it is also an important starting point for the networks’ planning, optimization, maintenance and operation.To ensure user perception, the actual wireless transmission influencing factors, existing network structure and network coordination strategy, etc., need to be considered.The resident capacity of a 5G network in the 3.5 GHz frequency band was evaluated, analyzed and calculated, and the theoretical ultimate value of the 5G traffic resident ratio based on the analysis of network and users’ big data was put forward, which explained the positive relationship between user perception and residence ratio, and provided a reference for the reasonable theoretical ultimate value of 5G traffic resident ratio.
Databáze: Directory of Open Access Journals