EdgeRIC: Empowering Real-time Intelligent Optimization and Control in NextG Cellular Networks

Authors: 

Woo-Hyun Ko, Texas A&M University; Ushasi Ghosh, University of California San Diego; Ujwal Dinesha, Texas A&M University; Raini Wu, University of California San Diego; Srinivas Shakkottai, Texas A&M University; Dinesh Bharadia, University of California San Diego

Abstract: 

Radio Access Networks (RAN) are increasingly softwarized and accessible via data-collection and control interfaces. RAN intelligent control (RIC) is an approach to manage these interfaces at different timescales. In this paper, we introduce EdgeRIC, a real-time RIC co-located with the Distributed Unit (DU). It is decoupled from the RAN stack, and operates at the RAN timescale. EdgeRIC serves as the seat of real-time AI-in-the-loop for decision and control. It can access RAN and application-level information to execute AI-optimized and other policies in real-time (sub-millisecond). We demonstrate that EdgeRIC operates as if embedded within the RAN stack. We showcase RT applications called μApps over EdgeRIC that significantly outperforms a cloud-based near real-time RIC (> 15 ms latency) in terms of attained system throughput. Further, our over-the-air experiments with AI-based policies showcase their resilience to channel dynamics. Remarkably, these AI policies outperform model-based strategies by 5% to 25% in both system throughput and end user application-level benchmarks across diverse mobile scenarios.

NSDI '24 Open Access Sponsored by
King Abdullah University of Science and Technology (KAUST)

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BibTeX
@inproceedings {295615,
author = {Woo-Hyun Ko and Ushasi Ghosh and Ujwal Dinesha and Raini Wu and Srinivas Shakkottai and Dinesh Bharadia},
title = {{EdgeRIC}: Empowering Real-time Intelligent Optimization and Control in {NextG} Cellular Networks},
booktitle = {21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)},
year = {2024},
isbn = {978-1-939133-39-7},
address = {Santa Clara, CA},
pages = {1315--1330},
url = {https://www.usenix.org/conference/nsdi24/presentation/ko},
publisher = {USENIX Association},
month = apr
}