AppNet: Application-Aware Networking with O-RAN

The 5G network promised transformative services across various industries, yet its integration has mostly been limited to existing 4G services like IMS-based multimedia and IoT. This paper identifies two key reasons for this underutilization: first, the stringent, multi-dimensional requirements of next-generation verticals like AR/VR, mobile gaming, and robotics, and the limitations of traditional Quality of Service (QoS) approaches in meeting these needs. We argue for a shift towards Quality of Experience (QoE), which better captures user perception and instantaneous application state. To meet stringent QoE demands and optimize network utilization, we emphasize the importance of application state and context awareness within the network. As a solution, we propose AppNet, a novel framework that integrates application awareness into the networking stack via RAN Intelligent Controllers (RICs) of the Open-RAN platform, enabling dynamic QoS adjustments based on application context. This paper highlights 5G private networks as an ideal testing ground, focusing on multi-user scenarios to deliver optimal real-time interactive services at scale.

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Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697427
Citations
1
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.25
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AppNet: Application-Aware Networking with O-RAN

Srinivas Shakkottai, Dinesh Bharadia, Ish Kumar Jain, Ushasi Ghosh et al.
1 citations
Image and Video Quality Assessment
0.25
article

AppNet: Application-Aware Networking with O-RAN

Srinivas Shakkottai, Dinesh Bharadia, Ish Kumar Jain, Ushasi Ghosh, Sushila Seshasayee
article en
1 citations

Abstract

The 5G network promised transformative services across various industries, yet its integration has mostly been limited to existing 4G services like IMS-based multimedia and IoT. This paper identifies two key reasons for this underutilization: first, the stringent, multi-dimensional requirements of next-generation verticals like AR/VR, mobile gaming, and robotics, and the limitations of traditional Quality of Service (QoS) approaches in meeting these needs. We argue for a shift towards Quality of Experience (QoE), which better captures user perception and instantaneous application state. To meet stringent QoE demands and optimize network utilization, we emphasize the importance of application state and context awareness within the network. As a solution, we propose AppNet, a novel framework that integrates application awareness into the networking stack via RAN Intelligent Controllers (RICs) of the Open-RAN platform, enabling dynamic QoS adjustments based on application context. This paper highlights 5G private networks as an ideal testing ground, focusing on multi-user scenarios to deliver optimal real-time interactive services at scale.

Texas A&M University – San Antonio (US), University of California San Diego (US)
Openalex Percentile: Top 44%
Image and Video Quality Assessment
0.25
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AppNet: Application-Aware Networking with O-RAN — Srinivas Shakkottai, Dinesh Bharadia, et al. · (2024) | TGRS Research Map | TGRS