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Mitra: An O-RAN based Real-Time Solution for Coexistence between General and Priority Users in CBRS

  • Shiva Acharya
  • , Shaoran Li
  • , Nan Jiang
  • , Yubo Wu
  • , Y. Thomas Hou
  • , Wenjing Lou
  • , Weijun Xie

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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 languageEnglish
Title of host publicationProceedings - 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2023
Place of PublicationLos Alamitos, Calif.
PublisherIEEE
Pages295-303
Number of pages9
ISBN (Electronic)9798350324334
ISBN (Print)9798350324341
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event20th 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

NameProceedings - IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS
ISSN (Print)2155-6806
ISSN (Electronic)2155-6806

Conference

Conference20th IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS 2023)
Abbreviated titleIEEE MASS 2023
PlaceCanada
CityToronto
Period25/09/23 → 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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