Abstract
To maximize the potential benefit of Citizen Broadband Radio Service (CBRS), efficient coexistence algorithms are urgently needed for the general authorized access (GAA) users. The goal is to allow GAA users to share the same spectrum with priority access license (PAL) users, while providing the required interference protection to PAL users. The main challenge in designing an efficient coexistence solution is the absence of collaboration from the PAL users and the uncertainty in sensed channel information. This paper addresses these problems using a data-driven approach based on limited data samples. We develop a mathematical model based on chance-constrained programming (CCP) to address uncertainty in sensed data samples. By exploiting the idea of the ∞-Wasserstein ambiguity set, we reformulate the CCP problem into a deterministic Mixed-Integer Nonlinear Program (MINLP). We propose an open RAN (ORAN)-based solution to MINLP at the GAA base station (BS) that delivers a real-time scheduling solution. © 2023 IEEE.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023 |
| Place of Publication | Los Alamitos, Calif. |
| Publisher | IEEE |
| Pages | 295-303 |
| Number of pages | 9 |
| ISBN (Electronic) | 9798350324334 |
| ISBN (Print) | 9798350324341 |
| DOIs | |
| Publication status | Published - 2023 |
| Externally published | Yes |
| Event | 20th IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS 2023) - University of Toronto, Toronto, Canada Duration: 25 Sept 2023 → 27 Sept 2023 https://cis.temple.edu/ieeemass2023/ |
Publication series
| Name | Proceedings - IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS |
|---|---|
| ISSN (Print) | 2155-6806 |
| ISSN (Electronic) | 2155-6806 |
Conference
| Conference | 20th IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS 2023) |
|---|---|
| Abbreviated title | IEEE MASS 2023 |
| Place | Canada |
| City | Toronto |
| Period | 25/09/23 → 27/09/23 |
| Internet address |
Funding
ACKNOWLEDGMENTS This research was supported in part by ONR under MURI Grant N00014-19-1-2621, NSF under grants 2246414 and 2246417, Virginia Commonwealth Cyber Initiative (CCI), and Virginia Tech Institute for Critical Technology and Applied Science (ICTAS).
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