In the era of Industry 4.0, the digital transformation of industrial systems necessitates advanced wireless communication solutions that are both agile and secure. Private 5G networks, characterized by their unparalleled bandwidth, reduced latency, and fortified security, have emerged as a beacon of innovation in this paradigm shift. This study explores the feasibility of deploying private 5G networks across diverse enterprises, underpinned by a robust methodological framework. Drawing from contemporary research, it’s evident that while 5G promises transformative benefits for sectors like logistics, manufacturing, and autonomous vehicles, its adoption is riddled with challenges such as network oversaturation and frequency coordination. Analyzing 2006 companies, our findings reveal that only 103 enterprises align with the optimal criteria for private 5G network implementation, highlighting the intricate balance of spatial, economic, and regulatory considerations. This research not only offers a strategic roadmap for businesses and stakeholders but also positions private 5G networks as a pivotal tool for achieving operational excellence, enhanced data privacy, and seamless connectivity in the modern industrial landscape.

1.
M. A.
Peters
&
T.
Besley
, “
5G transformational advanced wireless futures
,”
Educational Philosophy and Theory
, pp.
847
851
(
2021
).
2.
D.
Aschenbrenner
,
M.
Scharle
and
S.
Ludwig
, “
FlexiCell: 5G location-based context-aware agile manufacturing
,”
Procedia CIRP
, pp.
2212
8271
(
2022
).
3.
A.
Aijaz
, “
Private 5G: The Future of Industrial Wireless
,”
IEEE Industrial Electronics Magazine
, pp.
136
145
(
2020
).
4.
A.
Osseiran
,
F.
Boccardi
,
V.
Braun
and
K.
Kusume
, “
Scenarios for 5G mobile and wireless communications: the vision of the METIS project
,”
IEEE Communications Magazine
(
2014
).
5.
A.
Birutis
and
A.
Mykkeltvelt
, “
Practical Jamming of a Commercial 5G Radio System at 3.6 GHz
,”
Procedia Computer Science
, pp.
58
67
(
2022
).
6.
R.
Alkhansa
,
H.
Artail
and
D. M.
Gutierrez-Estevez
, “
LTE-WiFi Carrier Aggregation for Future 5G Systems: A Feasibility Study and Research Challenges
,”
Procedia Computer Science
, pp.
133
140
(
2014
).
7.
P.
Skokowski
, et al, “
Jamming and jamming mitigation for selected 5G military scenarios
,”
Procedia Computer Science
, pp.
258
267
(
2022
).
8.
X.
Li
,
H.-N.
Dai
,
M. K.
Shukla
,
D.
Li
,
H.
Xu
and
M.
Imran
, “
Friendly-jamming schemes to secure ultra-reliable and low-latency communications in 5G and beyond communications
,”
Computer Standards & Interfaces
, p.
103540
(
2021
).
9.
Y.
Shi
,
Q.
Han
,
W.
Shen
and
X.
Wang
, “
A Multi-Layer Collaboration Framework for Industrial Parks with 5G Vehicle-to-Everything Networks
,”
Engineering
, pp.
818
831
(
2021
).
10.
H.
Frank
,
C.
Colman-Meixner
,
K. D. R. A.
Assis
and
S.
Ya
, “
Techno-Economic Analysis of 5G Non-Public Network Architectures
,”
IEEE Access
, vol.
10
, doi: , pp. pp.
70204
7021
(
2022
).
11.
V. K.
Garg
, “
Wireless Personal Area Networks: Low Rate and High Rate, in Wireless Communications & Networking
,”
Morgan Kaufmann
, pp.
675
712
(
2007
).
12.
E. M.
Navarro
,
A. N. R.
Álvarez
, &
F. I. S.
Anguiano
, “
A new telesurgery generation supported by 5G technology: benefits and future trends
,”
Procedia Computer Science
,
200
(
31
38
) (
2022
).
13.
H.
Chen
,
J.
Liu
,
J.
Wang
&
Y.
Xun
, “
Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures
,”
Vehicular Communications
, Volume
39
(
2022
).
14.
M.
Condoluci
, et al, “
Enhanced radio access and data transmission procedures facilitating industry-compliant machine-type communications over LTE-based 5G networks
,”
IEEE Wirel. Commun
(
2016
).
15.
M.
Simsek
,
M.
Dohler
,
A.
Aijaz
&
J.
Sachs
, “
5G-Enabled Tactile Internet
,”
IEEE Journal on Selected Areas in Communications
(
2016
).
16.
M.
Carrascosa
&
B.
Bellalta
, “
Cloud-gaming: Analysis of Google Stadia traffic
,”
Computer Communications
, Volume
188
, pp.
99
116
(
2022
).
17.
R.-C
,
Härting
,
L.
Bühler
,
K.
Winter
&
A.
Gugel
, “
The threat of industrial espionage for SME in the age of digitalization
,”
Procedia Computer Science
, Volume
207
, pp.
2940
2949
(
2022
).
18.
The pandas development team,
2022
.
Pandas
(v1.5.2), s.l.:
Zenodo
.
19.
OpenStreetMap Contributors
,
2023
.
OpenStreetMap’s Standard tile layer.
[Online] Available at: https://www.openstreetmap.org [Accessed 1 9 2023].
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