TY - GEN
T1 - Experimental Network Performance Analysis from a CBRS-Based Private Mobile Network
AU - Dash, Biswajit Kumar
AU - Caezza, Joseph A.
AU - Malandra, Filippo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Accurately measuring propagation loss is crucial for Citizens Broadband Radio Service (CBRS) network planning, deployment, and successful spectrum sharing among CBRS users. The currently used propagation models, such as the Irregular Terrain Model (ITM) and Extended Hata (eHata) in the CBRS network, disregard significant environmental factors like foliage or clutter data, making the loss prediction unreliable. Additionally, current experimental studies on CBRS propagation are limited, with methodologies often relying on expensive measurement tools. To address these limitations, this paper proposes a CBRS network propagation framework, which includes a signal measurement system made of affordable, commercial off-the-shelf electronic devices and advanced empirical data analysis. To validate the framework, an extensive measurement campaign is conducted in a live CBRS network in Buffalo, NY. The empirical path loss results have been compared with existing analytical models, with the alpha-beta (α-β) model giving the best path loss prediction. The methodology and framework presented in this paper can be applied to other network environments, helping researchers and engineers estimate network performance during the design phase, thus saving resources.
AB - Accurately measuring propagation loss is crucial for Citizens Broadband Radio Service (CBRS) network planning, deployment, and successful spectrum sharing among CBRS users. The currently used propagation models, such as the Irregular Terrain Model (ITM) and Extended Hata (eHata) in the CBRS network, disregard significant environmental factors like foliage or clutter data, making the loss prediction unreliable. Additionally, current experimental studies on CBRS propagation are limited, with methodologies often relying on expensive measurement tools. To address these limitations, this paper proposes a CBRS network propagation framework, which includes a signal measurement system made of affordable, commercial off-the-shelf electronic devices and advanced empirical data analysis. To validate the framework, an extensive measurement campaign is conducted in a live CBRS network in Buffalo, NY. The empirical path loss results have been compared with existing analytical models, with the alpha-beta (α-β) model giving the best path loss prediction. The methodology and framework presented in this paper can be applied to other network environments, helping researchers and engineers estimate network performance during the design phase, thus saving resources.
KW - 3.5 GHz
KW - CBRS propagation
KW - path loss
KW - private LTE/5G networks
KW - spectrum sharing
UR - https://www.scopus.com/pages/publications/85194197763
U2 - 10.1109/FNWF58287.2023.10520385
DO - 10.1109/FNWF58287.2023.10520385
M3 - Conference contribution
AN - SCOPUS:85194197763
T3 - Proceedings - 2023 IEEE Future Networks World Forum: Future Networks: Imagining the Network of the Future, FNWF 2023
BT - Proceedings - 2023 IEEE Future Networks World Forum
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Future Networks World Forum, FNWF 2023
Y2 - 13 November 2023 through 15 November 2023
ER -