Demo: IMU-Assisted Flight-Dynamics-Aware AMC for UAVs over SDR-OFDM Testbed

Busra Bayram; Talip Tolga Sari; Debashri Roy; Gokhan Secinti

doi:10.1109/CCNC65079.2026.11366610

Demo: IMU-Assisted Flight-Dynamics-Aware AMC for UAVs over SDR-OFDM Testbed

Busra Bayram^*
, Talip Tolga Sari^*
, Debashri Roy
, Gokhan Secinti^*

^*Corresponding author for this work

Department of Computer Engineering

University of Texas at Arlington

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This demonstration presents a software-defined radio (SDR) testbed for experimentally evaluating air-to-ground (A2G) communication under dynamic flight conditions. By synchronizing UAV telemetry with orthogonal frequency-division multiplexing (OFDM) measurements, the system enables precise frame-to-telemetry alignment and frame-level bit error rate (BER) analysis. Results show that yaw angle is the dominant flight parameter affecting link reliability. Building on this finding, we demonstrate a yaw-aware adaptive modulation and coding (AMC) scheme that maps angular conditions to the optimum modulation selection. The proposed framework provides a reproducible and practical platform for flight-parameter-aware link adaptation, advancing the robustness and efficiency of future UAV communication systems.

Original language	English
Title of host publication	2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331596736
DOIs	https://doi.org/10.1109/CCNC65079.2026.11366610
Publication status	Published - 2026
Event	23rd IEEE Consumer Communications and Networking Conference, CCNC 2026 - Las Vegas, United States Duration: 9 Jan 2026 → 12 Jan 2026

Publication series

Name	Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN (Print)	2331-9860

Conference

Conference	23rd IEEE Consumer Communications and Networking Conference, CCNC 2026
Country/Territory	United States
City	Las Vegas
Period	9/01/26 → 12/01/26

Bibliographical note

Publisher Copyright:
© 2026 IEEE.

Keywords

A2G
AMC
BER
OFDM
SDR
UAV

Access to Document

10.1109/CCNC65079.2026.11366610

Cite this

Bayram, B., Sari, T. T., Roy, D., & Secinti, G. (2026). Demo: IMU-Assisted Flight-Dynamics-Aware AMC for UAVs over SDR-OFDM Testbed. In 2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026 (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC65079.2026.11366610

@inproceedings{8a96120d26df4c9fb41bdfa73a6c8613,

title = "Demo: IMU-Assisted Flight-Dynamics-Aware AMC for UAVs over SDR-OFDM Testbed",

abstract = "This demonstration presents a software-defined radio (SDR) testbed for experimentally evaluating air-to-ground (A2G) communication under dynamic flight conditions. By synchronizing UAV telemetry with orthogonal frequency-division multiplexing (OFDM) measurements, the system enables precise frame-to-telemetry alignment and frame-level bit error rate (BER) analysis. Results show that yaw angle is the dominant flight parameter affecting link reliability. Building on this finding, we demonstrate a yaw-aware adaptive modulation and coding (AMC) scheme that maps angular conditions to the optimum modulation selection. The proposed framework provides a reproducible and practical platform for flight-parameter-aware link adaptation, advancing the robustness and efficiency of future UAV communication systems.",

keywords = "A2G, AMC, BER, OFDM, SDR, UAV",

author = "Busra Bayram and Sari, \{Talip Tolga\} and Debashri Roy and Gokhan Secinti",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 23rd IEEE Consumer Communications and Networking Conference, CCNC 2026 ; Conference date: 09-01-2026 Through 12-01-2026",

year = "2026",

doi = "10.1109/CCNC65079.2026.11366610",

language = "English",

series = "Proceedings - IEEE Consumer Communications and Networking Conference, CCNC",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026",

address = "United States",

}

Bayram, B , Sari, TT, Roy, D & Secinti, G 2026, Demo: IMU-Assisted Flight-Dynamics-Aware AMC for UAVs over SDR-OFDM Testbed. in 2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026. Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, Institute of Electrical and Electronics Engineers Inc., 23rd IEEE Consumer Communications and Networking Conference, CCNC 2026, Las Vegas, United States, 9/01/26. https://doi.org/10.1109/CCNC65079.2026.11366610

Demo: IMU-Assisted Flight-Dynamics-Aware AMC for UAVs over SDR-OFDM Testbed. / Bayram, Busra ; Sari, Talip Tolga; Roy, Debashri et al.
2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026. Institute of Electrical and Electronics Engineers Inc., 2026. (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Demo

T2 - 23rd IEEE Consumer Communications and Networking Conference, CCNC 2026

AU - Bayram, Busra

AU - Sari, Talip Tolga

AU - Roy, Debashri

AU - Secinti, Gokhan

PY - 2026

Y1 - 2026

N2 - This demonstration presents a software-defined radio (SDR) testbed for experimentally evaluating air-to-ground (A2G) communication under dynamic flight conditions. By synchronizing UAV telemetry with orthogonal frequency-division multiplexing (OFDM) measurements, the system enables precise frame-to-telemetry alignment and frame-level bit error rate (BER) analysis. Results show that yaw angle is the dominant flight parameter affecting link reliability. Building on this finding, we demonstrate a yaw-aware adaptive modulation and coding (AMC) scheme that maps angular conditions to the optimum modulation selection. The proposed framework provides a reproducible and practical platform for flight-parameter-aware link adaptation, advancing the robustness and efficiency of future UAV communication systems.

AB - This demonstration presents a software-defined radio (SDR) testbed for experimentally evaluating air-to-ground (A2G) communication under dynamic flight conditions. By synchronizing UAV telemetry with orthogonal frequency-division multiplexing (OFDM) measurements, the system enables precise frame-to-telemetry alignment and frame-level bit error rate (BER) analysis. Results show that yaw angle is the dominant flight parameter affecting link reliability. Building on this finding, we demonstrate a yaw-aware adaptive modulation and coding (AMC) scheme that maps angular conditions to the optimum modulation selection. The proposed framework provides a reproducible and practical platform for flight-parameter-aware link adaptation, advancing the robustness and efficiency of future UAV communication systems.

KW - A2G

KW - AMC

KW - BER

KW - OFDM

KW - SDR

KW - UAV

UR - https://www.scopus.com/pages/publications/105034158423

U2 - 10.1109/CCNC65079.2026.11366610

DO - 10.1109/CCNC65079.2026.11366610

M3 - Conference contribution

AN - SCOPUS:105034158423

T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC

BT - 2026 IEEE 23rd Consumer Communications and Networking Conference, CCNC 2026

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 9 January 2026 through 12 January 2026

ER -

Demo: IMU-Assisted Flight-Dynamics-Aware AMC for UAVs over SDR-OFDM Testbed

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this