Joint Sensing and Transmission Strategy Considering Imperfect Signal Cancellation in Cognitive Radio Communications

Document Type : Original Article

Authors

1 assistant professorDepartment of Electrical and Computer Engineering, University of Birjand, Birjand.Iran

2 Instructor.Department of Electrical and Computer Engineering- University of Birjand- Birjand- Iran

3 researcher.Malek-Ashtar University of Technology- Isfahan- Iran

Abstract

Recently, the smartening of electronic warfare using cognitive radio technology can be very useful. Among the results of the application of this technology, the ability to understand the surrounding environment includes the automatic detection of friendly signals from the enemy, identification of jamming threats and transmission operations to different frequencies in order to prevent jamming attacks. In common cognitive radio systems, the secondary user detects the presence or absence of the primary user's signal by using suitable spectrometric patterns before starting the conversation. However, one of the challenges of this method is the reduction of the secondary user throughput, because no data is sent in the spectrum sensing time frame. In this paper, the idea of joint spectrum sensing and information transmission is studied, which is achieved with the cooperation of the secondary transmitter and receiver. First, the secondary transmitter signal is decoded by the secondary receiver. Then, it is subtracted from the total received signal and finally the presence or absence of the primary user is detected from the remaining signal. Contrary to common methods, in this work, Imperfect Decoding of the signal and the effect of decoding errors on the spectrum sensing reliability is evaluated. Then, analytical expressions for the probability of false alarm are obtained. The simulation results show that the proposed method improves the spectral efficiency of the cognitive radio system. Comparing the proposed method with the conventional sensing method, as well as with the antenna splitting, power splitting, and joint antenna splitting and energy harvesting methods, shows that at different sensing times, the proposed method achieves higher throughput than the other mentioned methods, and a maximum throughput of 2 b/s/Hz can be achieved which is independent of the sensing time.

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History

  • Receive Date: 14 October 2025
  • Revise Date: 20 December 2025
  • Accept Date: 02 January 2026
  • Publish Date: 22 December 2025

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