Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks

Hilary Frank; Rodrigo Stange Tessinari; Zhengguang Gao; Carlos Colman Meixner; Shuangyi Yan; Reza Nejabati; Dimitra Simeonidou

Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks

Hilary Frank, Rodrigo Stange Tessinari, Zhengguang Gao, Carlos Colman Meixner, Shuangyi Yan, Reza Nejabati, Dimitra Simeonidou

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

5G network demands massive infrastructure deployment to meet its requirements. The most cost-effective deployment solution is now a challenge. This paper identifies a cost implementation strategy for 5G by reformulating existing cost models. It analyses three geo-type scenarios and calculates the total cost of ownership (TCO) after estimating the Capex and Opex. The calculations are narrowed to specific cities for clearer understanding instead of the usual generic estimates. An end to end 5G network resource analysis is performed. Our result shows that by the end of first year Capex constitutes over 90% of TCO for urban scenarios. Also uniform capacity deployment across geo-types impose severe investment challenges.

Original language	English
Title of host publication	Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks
Pages	1-6
Number of pages	6
Publication status	Accepted/In press - 12 Apr 2019
Event	23rd International Conference on Optical Network Design and Modeling (ONDM 2019) - Athens, Greece Duration: 13 May 2019 → 16 May 2019 Conference number: 23

Conference

Conference	23rd International Conference on Optical Network Design and Modeling (ONDM 2019)
Country/Territory	Greece
City	Athens
Period	13/05/19 → 16/05/19

Handle.net

Persistent link

Cite this

@inproceedings{317645adbd9a46ad993db4c37d80ab6d,

title = "Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks",

abstract = "5G network demands massive infrastructure deployment to meet its requirements. The most cost-effective deployment solution is now a challenge. This paper identifies a cost implementation strategy for 5G by reformulating existing cost models. It analyses three geo-type scenarios and calculates the total cost of ownership (TCO) after estimating the Capex and Opex. The calculations are narrowed to specific cities for clearer understanding instead of the usual generic estimates. An end to end 5G network resource analysis is performed. Our result shows that by the end of first year Capex constitutes over 90% of TCO for urban scenarios. Also uniform capacity deployment across geo-types impose severe investment challenges.",

author = "Hilary Frank and {Stange Tessinari}, Rodrigo and Zhengguang Gao and {Colman Meixner}, Carlos and Shuangyi Yan and Reza Nejabati and Dimitra Simeonidou",

year = "2019",

month = apr,

day = "12",

language = "English",

pages = "1--6",

booktitle = "Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks",

note = "23rd International Conference on Optical Network Design and Modeling (ONDM 2019) ; Conference date: 13-05-2019 Through 16-05-2019",

}

Frank, H, Stange Tessinari, R, Gao, Z, Colman Meixner, C, Yan, S, Nejabati, R & Simeonidou, D 2019, Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks. in Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks., 1570525082, pp. 1-6, 23rd International Conference on Optical Network Design and Modeling (ONDM 2019), Athens, Greece, 13/05/19.

TY - GEN

T1 - Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks

AU - Frank, Hilary

AU - Stange Tessinari, Rodrigo

AU - Gao, Zhengguang

AU - Colman Meixner, Carlos

AU - Yan, Shuangyi

AU - Nejabati, Reza

AU - Simeonidou, Dimitra

N1 - Conference code: 23

PY - 2019/4/12

Y1 - 2019/4/12

N2 - 5G network demands massive infrastructure deployment to meet its requirements. The most cost-effective deployment solution is now a challenge. This paper identifies a cost implementation strategy for 5G by reformulating existing cost models. It analyses three geo-type scenarios and calculates the total cost of ownership (TCO) after estimating the Capex and Opex. The calculations are narrowed to specific cities for clearer understanding instead of the usual generic estimates. An end to end 5G network resource analysis is performed. Our result shows that by the end of first year Capex constitutes over 90% of TCO for urban scenarios. Also uniform capacity deployment across geo-types impose severe investment challenges.

AB - 5G network demands massive infrastructure deployment to meet its requirements. The most cost-effective deployment solution is now a challenge. This paper identifies a cost implementation strategy for 5G by reformulating existing cost models. It analyses three geo-type scenarios and calculates the total cost of ownership (TCO) after estimating the Capex and Opex. The calculations are narrowed to specific cities for clearer understanding instead of the usual generic estimates. An end to end 5G network resource analysis is performed. Our result shows that by the end of first year Capex constitutes over 90% of TCO for urban scenarios. Also uniform capacity deployment across geo-types impose severe investment challenges.

M3 - Conference Contribution (Conference Proceeding)

SP - 1

EP - 6

BT - Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks

T2 - 23rd International Conference on Optical Network Design and Modeling (ONDM 2019)

Y2 - 13 May 2019 through 16 May 2019

ER -

Resource Analysis and Cost Modeling for End-to-End 5G Mobile Networks

Abstract

Conference

Handle.net

Fingerprint

Cite this