Creating and sharing knowledge for telecommunications

How mature is 5G deployment? A cross-sectional, year-long study of 5G uplink performance

Khan, I. ; Ghoshal, M. ; Angjo, J. ; Dimce, S. ; Hussain, M. ; Parastar, P. ; Yu, Y. ; Deng, X. ; Hawal, S. ; Huang, S. ; Rane, A. ; Wang, Y. ; Fiandrino, C. ; Orfanidis, C. ; Aggarwal, S. ; Aguiar, A. ; Alay, O. ; Chiasserini, C. ; Dressler, F. ; Hu, Y. ; Widmer, J.

Computer Communications Vol. 237, Nº , pp. 108153 - 108153, May, 2025.

ISSN (print): 0140-3664
ISSN (online):

Scimago Journal Ranking: 1,40 (in 2023)

Digital Object Identifier: 10.1016/j.comcom.2025.108153

Abstract
After a rapid deployment worldwide over the past few years, 5G is expected to have reached a mature deployment stage to provide measurable improvement of network performance and user experience over its predecessors. In this study, we aim to assess 5G deployment maturity via three conditions: (1) Does 5G performance remain stable over a long time span (1 year)? (2) Does 5G provide better performance than its predecessor Long-Term Evolution (LTE)? (3) Does the technology offer similar performance across diverse geographic areas and cellular operators? We answer this important question by conducting two year-long measurement campaigns of 5G uplink performance leveraging a custom Android app: one crowd-sourced, cross-sectional campaign spanning 8 major cities in 7 countries and two different continents (Europe and North America), and one controlled campaign focusing on mmWave deployment at a fixed location in the downtown area of Boston, MA. Our datasets show that 5G deployment in major cities appears to have matured, with no major performance improvements observed over a one-year period, but 5G does not provide consistent, superior measurable performance over LTE, especially in terms of latency, and further there exists clear uneven 5G performance across the 8 cities. Our study suggests that, while 5G deployment appears to have stagnated, it is short of delivering its promised performance and user experience gain over its predecessor.