Le, Tuan A; Ku, Ivan; Yang, Xin-She; Masouros, Christos; Le-Ngoc, Tho; (2024) Cognitive Beamforming Design for Dual-Function Radar-Communications. In: 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Proceedings. (pp. pp. 1-5). IEEE: Singapore, Singapore.

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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 while maintaining its interference to the primary users (PUs) 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 minimizing the mean square error (MSE) of the beam patterns between the designed and desired waveforms under three constraints: i) the signal-to-interference-plus-noise ratio (SINR) at each data communication user; ii) the perantenna transmit power; and iii) the interference imposed on each PU. The semidefinite relaxation technique is utilized to search for the optimal solution to the optimization problem. The simulation results indicate that our proposed cognitive DFRC approach can effectively protect the PUs while simultaneously perform its communication and radar functions.

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