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 xApp 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%. Comprehensive evaluations, including emulations and over-the-air experiments, demonstrate the significant performance gains achieved through SPARC, showcasing it as a promising solution for optimizing resource efficiency and network performance in NextG cellular networks.
Authors
- Srinivas Shakkottai (ORCID: https://orcid.org/0000-0002-5882-6433)
- Nathan Stephenson (ORCID: https://orcid.org/0009-0004-1218-0528)
- Dinesh Bharadia (ORCID: https://orcid.org/0000-0002-3518-4722)
- Ushasi Ghosh (ORCID: https://orcid.org/0009-0002-0289-1938)
- Vijay K. Shah (ORCID: https://orcid.org/0000-0002-4501-8170)
- Azuka Chiejina (ORCID: https://orcid.org/0000-0001-6605-4894)
Institutions
- North Carolina State University (US)
- George Mason University (US)
- UC San Diego Health System (US)
- North Central State College (US)
- Texas A&M University (US)
Publication Details
- Journal
- Proceedings of the ACM on Networking
- Published
- 2024-11-25
- DOI
- https://doi.org/10.1145/3696405
- Citations
- 1
- Primary Topic
- Cognitive Radio Networks and Spectrum Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.35