Intelligent and QoE-aware Open Radio Access Networks

Georgios Kougioumtzidis; Vladimir Poulkov; Zaharias D. Zaharis; Pavlos I. Lazaridis

doi:10.23919/AT-AP-RASC54737.2022.9814435

Intelligent and QoE-aware Open Radio Access Networks

Georgios Kougioumtzidis, Vladimir Poulkov, Zaharias D. Zaharis, Pavlos I. Lazaridis

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

6 Citations (Scopus)

Abstract

The open radio access network (O-RAN) concept refers to the architectural design of next generation RAN that is built on the principles of openness and intelligence. This paper presents an overview of the concept of O-RAN, by analyzing its architecture and examining its main building blocks. Moreover, it highlights the significance of quality of experience (QoE) for the envisioned future wireless networks, and analyzes the importance of integrating QoE-awareness in O-RAN's design. Furthermore, it provides an analysis of the methodology of embedding artificial intelligence models in O-RAN's architecture with the form of xApps.

Original language	English
Title of host publication	2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	4
ISBN (Electronic)	9789463968058
ISBN (Print)	9781665499866
DOIs	https://doi.org/10.23919/AT-AP-RASC54737.2022.9814435
Publication status	Published - 6 Jul 2022
Event	3rd URSI Atlantic and Asia Pacific Radio Science Meeting - Gran Canaria, Spain Duration: 29 May 2022 → 3 Jun 2022 Conference number: 3

Conference

Conference	3rd URSI Atlantic and Asia Pacific Radio Science Meeting
Abbreviated title	AT-AP-RASC 2022
Country/Territory	Spain
City	Gran Canaria
Period	29/05/22 → 3/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.23919/AT-AP-RASC54737.2022.9814435Licence: Unspecified

Cite this

@inproceedings{a3146377792044a8a9bdb2fdcd3321a9,

title = "Intelligent and QoE-aware Open Radio Access Networks",

abstract = "The open radio access network (O-RAN) concept refers to the architectural design of next generation RAN that is built on the principles of openness and intelligence. This paper presents an overview of the concept of O-RAN, by analyzing its architecture and examining its main building blocks. Moreover, it highlights the significance of quality of experience (QoE) for the envisioned future wireless networks, and analyzes the importance of integrating QoE-awareness in O-RAN's design. Furthermore, it provides an analysis of the methodology of embedding artificial intelligence models in O-RAN's architecture with the form of xApps. ",

keywords = "Analytical models, Technological innovations, Architecture, Wireless networks, Catalysts, Quality of experience, Optimization",

author = "Georgios Kougioumtzidis and Vladimir Poulkov and Zaharis, {Zaharias D.} and Lazaridis, {Pavlos I.}",

note = "Funding Information: This research was supported by the European Union, partially through the Horizon 2020 Marie Sk{\l}odowska-Curie Innovative Training Networks Programme “Mobility and Training for beyond 5G Ecosystems (MOTOR5G)” under grant agreement no. 861219, and partially through the Horizon 2020 Marie Sk{\l}odowska-Curie Research and Innovation Staff Exchange Programme “Research Collaboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)” under grant agreement no. 872857. Publisher Copyright: {\textcopyright} 2022 URSI.; 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022 ; Conference date: 29-05-2022 Through 03-06-2022",

year = "2022",

month = jul,

day = "6",

doi = "10.23919/AT-AP-RASC54737.2022.9814435",

language = "English",

isbn = "9781665499866",

booktitle = "2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Kougioumtzidis, G, Poulkov, V, Zaharis, ZD & Lazaridis, PI 2022, Intelligent and QoE-aware Open Radio Access Networks. in 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022., 9814435, Institute of Electrical and Electronics Engineers Inc., 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, Gran Canaria, Spain, 29/05/22. https://doi.org/10.23919/AT-AP-RASC54737.2022.9814435

Intelligent and QoE-aware Open Radio Access Networks. / Kougioumtzidis, Georgios; Poulkov, Vladimir; Zaharis, Zaharias D. et al.

2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. 9814435.

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

TY - GEN

T1 - Intelligent and QoE-aware Open Radio Access Networks

AU - Kougioumtzidis, Georgios

AU - Poulkov, Vladimir

AU - Zaharis, Zaharias D.

AU - Lazaridis, Pavlos I.

N1 - Conference code: 3

PY - 2022/7/6

Y1 - 2022/7/6

N2 - The open radio access network (O-RAN) concept refers to the architectural design of next generation RAN that is built on the principles of openness and intelligence. This paper presents an overview of the concept of O-RAN, by analyzing its architecture and examining its main building blocks. Moreover, it highlights the significance of quality of experience (QoE) for the envisioned future wireless networks, and analyzes the importance of integrating QoE-awareness in O-RAN's design. Furthermore, it provides an analysis of the methodology of embedding artificial intelligence models in O-RAN's architecture with the form of xApps.

AB - The open radio access network (O-RAN) concept refers to the architectural design of next generation RAN that is built on the principles of openness and intelligence. This paper presents an overview of the concept of O-RAN, by analyzing its architecture and examining its main building blocks. Moreover, it highlights the significance of quality of experience (QoE) for the envisioned future wireless networks, and analyzes the importance of integrating QoE-awareness in O-RAN's design. Furthermore, it provides an analysis of the methodology of embedding artificial intelligence models in O-RAN's architecture with the form of xApps.

KW - Analytical models

KW - Technological innovations

KW - Architecture

KW - Wireless networks

KW - Catalysts

KW - Quality of experience

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=85134883978&partnerID=8YFLogxK

U2 - 10.23919/AT-AP-RASC54737.2022.9814435

DO - 10.23919/AT-AP-RASC54737.2022.9814435

M3 - Conference contribution

AN - SCOPUS:85134883978

SN - 9781665499866

BT - 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd URSI Atlantic and Asia Pacific Radio Science Meeting

Y2 - 29 May 2022 through 3 June 2022

ER -

Intelligent and QoE-aware Open Radio Access Networks

Abstract

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this