Zou, J;
Sun, S;
Masouros, C;
Cui, Y;
(2024)
Sensing-Centric Energy-Efficient Waveform Design for Integrated Sensing and Communications.
In:
Proceedings - IEEE Global Communications Conference, GLOBECOM.
(pp. pp. 3105-3110).
IEEE: Kuala Lumpur, Malaysia.
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Abstract
In this paper, we consider the energy-efficient waveform design for integrated sensing and communications systems, simultaneously performing multi-user communications and point-like/extended target sensing. We propose a performance metric to measure sensing-centric energy efficiency (EE) for the first time, namely sensing-centric EE. We formulate a problem to optimize sensing-centric EE with power budget, signal-to-interference-and-noise ratio (SINR) constraints for communication and a Cramér-Rao bound (CRB) constraint for sensing. For the point-like target case, we give the first-order approximations for the non-convex formulations and develop an effective iterative algorithm to handle the nonconvexity. For the extended target case, we show that the considered problem can be relaxed into semidefinite programming and the optimum can be reconstructed. Simulation results demonstrate significant performance gains on sensing-centric EE over the benchmarks.
Type: | Proceedings paper |
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Title: | Sensing-Centric Energy-Efficient Waveform Design for Integrated Sensing and Communications |
Event: | GLOBECOM 2023 - 2023 IEEE Global Communications Conference |
Location: | MALAYSIA, Kuala Lumpur |
Dates: | 4 Dec 2023 - 8 Dec 2023 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/GLOBECOM54140.2023.10437981 |
Publisher version: | http://dx.doi.org/10.1109/globecom54140.2023.10437... |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Technology, Engineering, Electrical & Electronic, Telecommunications, Engineering, Energy efficiency, ISAC, waveform design, MIMO RADAR, OPTIMIZATION, NETWORKS |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10193362 |
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