Task Offloading in Open RAN: Deployment Scenarios, Research Trends

Heejae Park; Seongryool Wee; Seungyeop Song; Laihyuk Park

doi:10.1109/ICTC66702.2025.11388051

Task Offloading in Open RAN: Deployment Scenarios, Research Trends

Heejae Park
, Seongryool Wee
, Seungyeop Song
, Laihyuk Park

Dept. of Computer Science and Engineering

Seoul National University of Science and Technology (SNUST)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

By disaggregating base station functions, Open Radio Access Network (O-RAN) enables enhanced interoperability, scalability, and intelligence throughout the RAN infrastructure. However, end devices within the O-RAN environment continue to face constraints in computing power, memory, and energy capacity. To address these limitations, task offloading emerges as a critical solution. This paper investigates representative O-RAN deployment scenarios and explores current research trends.

Original language	English
Title of host publication	2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025
Publisher	IEEE Computer Society
Pages	868-869
Number of pages	2
ISBN (Electronic)	9798331556785
DOIs	https://doi.org/10.1109/ICTC66702.2025.11388051
State	Published - 2025
Event	16th International Conference on Information and Communication Technology Convergence, ICTC 2025 - , Korea, Republic of Duration: 14 Oct 2025 → 17 Oct 2025

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	16th International Conference on Information and Communication Technology Convergence, ICTC 2025
Country/Territory	Korea, Republic of
Period	14/10/25 → 17/10/25

Keywords

deployment scenarios
O-RAN
task offloading

Access to Document

10.1109/ICTC66702.2025.11388051

Cite this

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title = "Task Offloading in Open RAN: Deployment Scenarios, Research Trends",

abstract = "By disaggregating base station functions, Open Radio Access Network (O-RAN) enables enhanced interoperability, scalability, and intelligence throughout the RAN infrastructure. However, end devices within the O-RAN environment continue to face constraints in computing power, memory, and energy capacity. To address these limitations, task offloading emerges as a critical solution. This paper investigates representative O-RAN deployment scenarios and explores current research trends.",

keywords = "deployment scenarios, O-RAN, task offloading",

author = "Heejae Park and Seongryool Wee and Seungyeop Song and Laihyuk Park",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 16th International Conference on Information and Communication Technology Convergence, ICTC 2025 ; Conference date: 14-10-2025 Through 17-10-2025",

year = "2025",

doi = "10.1109/ICTC66702.2025.11388051",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "868--869",

booktitle = "2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025",

}

Park, H, Wee, S, Song, S & Park, L 2025, Task Offloading in Open RAN: Deployment Scenarios, Research Trends. in 2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025. International Conference on ICT Convergence, IEEE Computer Society, pp. 868-869, 16th International Conference on Information and Communication Technology Convergence, ICTC 2025, Korea, Republic of, 14/10/25. https://doi.org/10.1109/ICTC66702.2025.11388051

Task Offloading in Open RAN: Deployment Scenarios, Research Trends. / Park, Heejae; Wee, Seongryool; Song, Seungyeop et al.
2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025. IEEE Computer Society, 2025. p. 868-869 (International Conference on ICT Convergence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Task Offloading in Open RAN

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AU - Song, Seungyeop

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PY - 2025

Y1 - 2025

N2 - By disaggregating base station functions, Open Radio Access Network (O-RAN) enables enhanced interoperability, scalability, and intelligence throughout the RAN infrastructure. However, end devices within the O-RAN environment continue to face constraints in computing power, memory, and energy capacity. To address these limitations, task offloading emerges as a critical solution. This paper investigates representative O-RAN deployment scenarios and explores current research trends.

AB - By disaggregating base station functions, Open Radio Access Network (O-RAN) enables enhanced interoperability, scalability, and intelligence throughout the RAN infrastructure. However, end devices within the O-RAN environment continue to face constraints in computing power, memory, and energy capacity. To address these limitations, task offloading emerges as a critical solution. This paper investigates representative O-RAN deployment scenarios and explores current research trends.

KW - deployment scenarios

KW - O-RAN

KW - task offloading

UR - https://www.scopus.com/pages/publications/105035060917

U2 - 10.1109/ICTC66702.2025.11388051

DO - 10.1109/ICTC66702.2025.11388051

M3 - Conference contribution

AN - SCOPUS:105035060917

T3 - International Conference on ICT Convergence

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EP - 869

BT - 2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025

PB - IEEE Computer Society

Y2 - 14 October 2025 through 17 October 2025

ER -

Task Offloading in Open RAN: Deployment Scenarios, Research Trends

Abstract

Publication series

Conference

Keywords

Access to Document

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