TY - GEN
T1 - Stormwave
T2 - 2026 International Conference on Smart Applications, Communications and Networking, SmartNets 2026
AU - Cui, Yuqing
AU - Zhang, Zhaoxi
AU - Nivas, Sidharth Santhi
AU - Kumar, Prem Sagar Pattanshetty Vasanth
AU - Mcmanus, Maxwell
AU - Zhao, Chenzhi
AU - Sun, Guanying
AU - Mastronarde, Nicholas
AU - Sklivanitis, George
AU - Pados, Dimitris A.
AU - Bentley, Elizabeth Serena
AU - Guan, Zhangyu
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - This paper presents StormWave, an open-source, portable software-defined Radio Frequency (RF) interference generation and monitoring platform designed for realistic fieldbased evaluation of the resilience of wireless communication systems. StormWave enables seamless composition and runtime switching among a wide range of narrowband and wideband waveforms, while supporting multiple digital modulations, adaptive coding, and multi-radio orchestration with real-time spectrum visualization. We evaluate the effectiveness of StormWave through both outdoor ground and air-to-air (A2A) experiments. Ground experiments demonstrate clear waveform- and modulation-dependent interference effects under realistic propagation conditions, while A2A experiments reveal pronounced distance-dependent constellation distortion and access-symbol degradation under active interference. The StormWave source code will be released to the community, with the expectation that StormWave will be used as a flexible, extensible, and field-ready platform for systematically validating interference resilience of wireless systems under realistic operating conditions.
AB - This paper presents StormWave, an open-source, portable software-defined Radio Frequency (RF) interference generation and monitoring platform designed for realistic fieldbased evaluation of the resilience of wireless communication systems. StormWave enables seamless composition and runtime switching among a wide range of narrowband and wideband waveforms, while supporting multiple digital modulations, adaptive coding, and multi-radio orchestration with real-time spectrum visualization. We evaluate the effectiveness of StormWave through both outdoor ground and air-to-air (A2A) experiments. Ground experiments demonstrate clear waveform- and modulation-dependent interference effects under realistic propagation conditions, while A2A experiments reveal pronounced distance-dependent constellation distortion and access-symbol degradation under active interference. The StormWave source code will be released to the community, with the expectation that StormWave will be used as a flexible, extensible, and field-ready platform for systematically validating interference resilience of wireless systems under realistic operating conditions.
KW - field-based experimentation
KW - RF interference
KW - Software-defined radio (SDR)
KW - waveform agility
UR - https://www.scopus.com/pages/publications/105045812903
U2 - 10.1109/SmartNets69662.2026.11604947
DO - 10.1109/SmartNets69662.2026.11604947
M3 - Conference contribution
AN - SCOPUS:105045812903
T3 - 2026 International Conference on Smart Applications, Communications and Networking, SmartNets 2026
BT - 2026 International Conference on Smart Applications, Communications and Networking, SmartNets 2026
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 July 2026 through 9 July 2026
ER -