DEMO: SPARC: Spatio-Temporal Adaptive Resource Control for Multi-site Spectrum Management in NextG Cellular Networks

This work presents SPARC (Spatio-Temporal Adaptive Resource Control), a novel approach for multi-site spectrum management in NextG cellular networks. SPARC addresses the challenge of limited licensed spectrum in dynamic environments. We leverage the O-RAN architecture to develop a multi-timescale RAN Intelligent Controller (RIC) framework, featuring an xApp for near-real-time interference detection and localization, and a μApp for real-time intelligent resource allocation. By utilizing base stations as spectrum sensors, SPARC enables efficient and fine-grained dynamic resource allocation across multiple sites, enhancing signal-to-noise ratio (SNR) by up to 7dB, spectral efficiency by up to 15%, and overall system throughput by up to 20%.

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Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3701547
Primary Topic
Wireless Communication Networks Research
Type
article
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article

DEMO: SPARC: Spatio-Temporal Adaptive Resource Control for Multi-site Spectrum Management in NextG Cellular Networks

Srinivas Shakkottai, Nathan Stephenson, Dinesh Bharadia, Ushasi Ghosh et al.
Wireless Communication Networks Research
article

DEMO: SPARC: Spatio-Temporal Adaptive Resource Control for Multi-site Spectrum Management in NextG Cellular Networks

Srinivas Shakkottai, Nathan Stephenson, Dinesh Bharadia, Ushasi Ghosh, Vijay K. Shah, Azuka Chiejina
article en

Abstract

This work presents SPARC (Spatio-Temporal Adaptive Resource Control), a novel approach for multi-site spectrum management in NextG cellular networks. SPARC addresses the challenge of limited licensed spectrum in dynamic environments. We leverage the O-RAN architecture to develop a multi-timescale RAN Intelligent Controller (RIC) framework, featuring an xApp for near-real-time interference detection and localization, and a μApp for real-time intelligent resource allocation. By utilizing base stations as spectrum sensors, SPARC enables efficient and fine-grained dynamic resource allocation across multiple sites, enhancing signal-to-noise ratio (SNR) by up to 7dB, spectral efficiency by up to 15%, and overall system throughput by up to 20%.

North Carolina State University (US), George Mason University (US), University of California San Diego (US), Texas A&M University (US)
Openalex Percentile: Top 75%
Wireless Communication Networks Research
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DEMO: SPARC: Spatio-Temporal Adaptive Resource Control for Multi-site Spectrum Management in NextG Cellular Networks — Srinivas Shakkottai, Nathan Stephenson, et al. · (2024) | TGRS Research Map | TGRS