Integrated Full-Duplex Detection and Jamming for Adversarial Communication Throughput Minimization

Bao Gui

School of Computer and Information Engineering, Chuzhou University, Chuzhou, 239000 China

*Corresponding author

This paper investigates the integrated full-duplex detection and jamming for minimizing the adversarial communication throughput in wireless systems. In a hostile military scenario consisting of an adversary transmitter (Alice), an adversary receiver (Bob), and a friendly full-duplex warden (Willie), where warden aims to simultaneously detect the presence of adversary transmissions via energy detection and interfere with their communication by transmitting artificial noise (AN). To address the inherent trade-off between detection performance degradation caused by self-interference and jamming capability, we propose a power control strategy to minimize the adversary’s throughput subject to detection capability and maximum power constraints. Specifically, we derive an upper bound on the detection error probability to quantify detection performance and establish a detection requirement constraint. Subsequently, an optimization problem is formulated to minimize the communication throughput. By analyzing the monotonicity of the objective and constraint functions, the optimal AN transmit power is determined. Numerical results demonstrate the trade-off between jamming capability and detection reliability, revealing that the achievable minimum throughput is critically constrained by the detection requirement and the maximum AN power. This work provides significant insights into the development of secure communication and counter-measure strategies.

Full-duplex, signal detection, jamming, throughput minimization, power control

Yangfan Xu, Bao Gui (2026). Integrated Full-Duplex Detection and Jamming for Adversarial Communication Throughput Minimization. Journal of Networking and Network Applications, Volume 6, Issue 1, pp. 41–46. https://doi.org/10.33969/J-NaNA.2026.060105.

[1] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, Feb. 2005.

[2] T. Yucek and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Communications Surveys Tutorials, vol. 11, no. 1, pp. 116–130, First quarter 2009.

[3] Y. Zou, J. Zhu, X. Wang, and L. Hanzo, “A survey on wireless security: Technical challenges, recent advances, and future trends,” Proceedings of the IEEE, vol. 104, no. 9, pp. 1727–1765, Sep. 2016.

[4] S. Yan, X. Zhou, J. Hu, and S. V. Hanly, “Low probability of detection communication: Opportunities and challenges,” IEEE Wireless Communications, vol. 26, no. 5, pp. 19–25, Oct. 2019.

[5] H. Urkowitz, “Energy detection of unknown deterministic signals,” Proceedings of the IEEE, vol. 55, no. 4, pp. 523–531, Apr. 1967.

[6] S. P. Herath, N. Rajatheva, and C. Tellambura, “Energy detection of unknown signals in fading and diversity reception,” IEEE Transactions on Communications, vol. 59, no. 9, pp. 2443–2453, Sep. 2011.

[7] E. Axell, G. Leus, E. G. Larsson, and H. V. Poor, “Spectrum sensing for cognitive radio : State-of-the-art and recent advances,” IEEE Signal Processing Magazine, vol. 29, no. 3, pp. 101–116, May 2012.

[8] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of things: A survey on enabling technologies, protocols, and applications,” IEEE Communications Surveys Tutorials, vol. 17, no. 4, pp. 2347–2376, Fourth quarter 2015.

[9] Y.-C. Liang, Y. Zeng, E. C. Peh, and A. T. Hoang, “Sensing-throughput tradeoff for cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 7, no. 4, pp. 1326–1337, Apr. 2008.

[10] M. Shirvanimoghaddam, M. Dohler, and S. J. Johnson, “Massive non-orthogonal multiple access for cellular IoT: Potentials and limitations,” IEEE Communications Magazine, vol. 55, no. 9, pp. 55–61, Sep. 2017.

[11] U. Raza, P. Kulkarni, and M. Sooriyabandara, “Low power wide area networks: An overview,” IEEE Communications Surveys Tutorials, vol. 19, no. 2, pp. 855–873, Second quarter 2017.

[12] X. Chen, J. An, Z. Xiong, C. Xing, N. Zhao, F. R. Yu, and A. Nallanathan, “Covert communications: A comprehensive survey,” IEEE Communica-tions Surveys Tutorials, vol. 25, no. 2, pp. 1173–1198, Second quarter 2023.

[13] B. A. Bash, D. Goeckel, and D. Towsley, “Limits of reliable communica-tion with low probability of detection on AWGN channels,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 9, pp. 1921–1930, Sep. 2013.

[14] S. Yan, S. V. Hanly, and I. B. Collings, “Optimal transmit power and flying location for UAV covert wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 39, no. 11, pp. 3321–3333, Nov. 2021.

[15] H. Lv, B. Yang, X. Sun, C. Gao, B. Gui, and T. Taleb, “Energy-harvesting jammer-aided covert communications in wireless multirelay IoT systems,” IEEE Internet of Things Journal, vol. 12, no. 11, pp. 17 443–17 455, Jun. 2025.

[16] Y. Jiang, Y. Wang, H. Wu, Y. Liu, and L. Hu, “Energy-efficient covert offloading in blockchain-enabled IoT: Joint artificial noise and computation resource allocation,” IEEE Internet of Things Journal, vol. 12, no. 6, pp. 6889–6901, Mar. 2025.

[17] Y. Jiang, L. Wang, H. Zhao, and H.-H. Chen, “Covert communications in D2D underlaying cellular networks with power domain NOMA,” IEEE Systems Journal, vol. 14, no. 3, pp. 3717–3728, Sep. 2020.

[18] Y. Jiang, L. Wang, H.-H. Chen, and X. Shen, “Physical layer covert communication in B5G wireless networks—its research, applications, and challenges,” Proceedings of the IEEE, vol. 112, no. 1, pp. 47–82, Jan. 2024.

[19] Y. Zhang, L. Yang, X. Li, K. Guo, and H. Liu, “Covert communications for STAR-RIS-assisted industrial networks with a full duplex receiver and RSMA,” IEEE Internet of Things Journal, vol. 11, no. 12, pp. 22 483–22 493, Jun. 2024.