Citation

Le, Tuan Anh and Ku, Ivan Chui Choon and Yang, Xin She and Masouros, Christos and Le-Ngoc, Tho (2025) DFRC Systems Co-existing in Licensed Spectrum: Cognitive Beamforming Designs. IEEE Transactions on Cognitive Communications and Networking. p. 1. ISSN 2372-2045

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Abstract

This paper introduces a dual-function radar-communication (DFRC) system with cognitive radio capability to tackle the spectral scarcity problem in wireless communications. Particularly, a cognitive DFRC system operates on a spectrum owned by a primary system to simultaneously perform data communication and target tracking with the condition that its interference to the primary users (PUs) is below a certain threshold. To achieve this, an optimization problem is formulated to jointly design the beamforming vectors for both the radar and communication functions in such a way that the mean square error (MSE) of the beam pattern between the designed and desired waveforms is minimized. The optimization problem has the following three constraints: i) the signal-to-interference-plus-noise ratio (SINR) at each data communication user is above a predetermined level; ii) the per-antenna transmit power is maintained at a given level; iii) the interference imposed on each PU is below a certain threshold. Both the semidefinite relaxation and nature-inspired firefly algorithms are proposed in order to search for the optimal solutions to the optimization problem. The simulation results indicate that our proposed algorithms can enable the DFRC system to protect the PUs while simultaneously performing its communication and radar functions.

Item Type:	Article
Uncontrolled Keywords:	Cognitive radio, shared spectrum, firefly algorithm, nature-inspired optimization, semidefinite relaxation, integrated sensing and communication.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	30 Jun 2025 01:44
Last Modified:	30 Jun 2025 01:44
URII:	http://shdl.mmu.edu.my/id/eprint/14136

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