HawkVision: Network Coding in O-RAN

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

Recent advances in networking technologies, such as in-network computing (INC), have demonstrated significant potential for mobile networks. Among these, Random Linear Network Coding (RLNC), a class of forward error correction codes, has proven especially promising for enhancing reliability. RLNC reduces latency by transmitting additional coded packets, making it well-suited for supporting Ultra-Reliable Low Latency Communications (URLLC), a key requirement in nextgeneration mobile networks. To fully harness the benefits of RLNC in mobile networks, it is essential to closely monitor its operations to design effective RLNC schemes. This need arises from key factors, including the dynamic nature of mobile environments and the continuous emergence of new applications. However, achieving this in traditional mobile networks remains challenging due to their closed architectures and vendor lockin. We propose HawkVision, a monitoring solution for RLNC operations that leverages the flexibility of Open Radio Access Network (O-RAN). HawkVision supports monitoring various RLNC schemes, such as Sliding Window and Systematic Block Code, within mobile networks. It uses xApps in O-RAN to observe RLNC behavior in the RAN. We implement HawkVision using FlexRIC, a widely used O-RAN platform, and deploy a Key Performance Metric (KPM) xApp to collect relevant metrics. Testbed results demonstrate HawkVision's effectiveness in monitoring the operations for different RLNC schemes.

Details

Original languageEnglish
Title of host publicationProceedings of the 2025 21st International Conference on Network and Service Management
EditorsWalter Cerroni, Mauro Tortonesi, Davide Borsatti, Alberto Egon Schaeffer-Filho, Daphne Tuncer, Jerome Francois, Martin Husak
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
ISBN (electronic)978-3-903176-75-1
ISBN (print)979-8-3315-9089-5
Publication statusE-pub ahead of print - Dec 2025
Peer-reviewedYes

Publication series

Series International Conference on Network and Service Management

Conference

Title21st International Conference on Network and Service Management
SubtitleAI and Sustainability in the Future of Network and Service Management
Abbreviated titleCNSM 2025
Conference number21
Duration27 - 31 October 2025
Website
LocationUniversity of Bologna
CityBologna
CountryItaly

External IDs

ORCID /0000-0001-8469-9573/work/210352924
ORCID /0000-0001-7008-1537/work/210354258