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