eprintid: 10199591 rev_number: 9 eprint_status: archive userid: 699 dir: disk0/10/19/95/91 datestamp: 2024-11-05 12:27:45 lastmod: 2025-02-13 09:51:55 status_changed: 2025-02-13 09:51:55 type: proceedings_section metadata_visibility: show sword_depositor: 699 creators_name: Le, Tuan A creators_name: Ku, Ivan creators_name: Yang, Xin-She creators_name: Masouros, Christos creators_name: Le-Ngoc, Tho title: Cognitive Beamforming Design for Dual-Function Radar-Communications ispublished: pub divisions: UCL divisions: B04 divisions: F46 keywords: Vehicular and wireless technologies, Target tracking, Array signal processing, Simulation, Interference, Radar, Vectors note: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. 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. date: 2024-09-25 date_type: published publisher: IEEE official_url: https://doi.org/10.1109/VTC2024-Spring62846.2024.10683337 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2328937 doi: 10.1109/VTC2024-Spring62846.2024.10683337 isbn_13: 979-8-3503-8741-4 lyricists_name: Masouros, Christos lyricists_id: CMASO14 actors_name: Masouros, Christos actors_id: CMASO14 actors_role: owner full_text_status: public pres_type: paper series: IEEE Vehicular Technology Conference (VTC) publication: IEEE Vehicular Technology Conference volume: 2024 place_of_pub: Singapore, Singapore pagerange: 1-5 event_title: 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring) event_dates: 24 Jun 2024 - 27 Jun 2024 issn: 2577-2465 book_title: 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Proceedings citation: 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. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10199591/1/VTC_2024%20%285%29.pdf