Sensing-Centric Energy-Efficient Waveform Design for Integrated Sensing and Communications

Zou, Jiaqi; Sun, Songlin; Masouros, Christos; Cui, Yuanhao

doi:10.1109/globecom54140.2023.10437981

GLOBECOM 2023 - 2023 IEEE Global Communications Conference 2023

DOI: 10.1109/globecom54140.2023.10437981

|View full text |Cite

Sensing-Centric Energy-Efficient Waveform Design for Integrated Sensing and Communications

Jiaqi Zou,

Songlin Sun,

Christos Masouros

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems

Zou,

Sun,

Masouros

et al. 2024

IEEE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

In this paper, we investigate the design of energyefficient beamforming for an ISAC system, where the transmitted waveform is optimized for joint multi-user communication and target estimation simultaneously. We aim to maximize the system energy efficiency (EE), taking into account the constraints of a maximum transmit power budget, a minimum required signalto-interference-plus-noise ratio (SINR) for communication, and a maximum tolerable Cramér-Rao bound (CRB) for target estimation. We first consider communication-centric EE maximization. To handle the non-convex fractional objective function, we propose an iterative quadratic-transform-Dinkelbach method, where Schur complement and semi-definite relaxation (SDR) techniques are leveraged to solve the subproblem in each iteration. For the scenarios where sensing is critical, we propose a novel performance metric for characterizing the sensing-centric EE and optimize the metric adopted in the scenario of sensing a point-like target and an extended target. To handle the nonconvexity, we employ the successive convex approximation (SCA) technique to develop an efficient algorithm for approximating the nonconvex problem as a sequence of convex ones. Furthermore, we adopt a Pareto optimization mechanism to articulate the tradeoff Part of this work has been accepted by the IEEE Global Communications Conference (GLOBECOM 2023) for publication [1].

show abstract

Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems

Zou,

Sun,

Masouros

et al. 2024

IEEE Trans. Commun.

Self Cite

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Sensing-Centric Energy-Efficient Waveform Design for Integrated Sensing and Communications

Cited by 1 publication

References 15 publications

Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems

Energy-Efficient Beamforming Design for Integrated Sensing and Communications Systems

Contact Info

Product

Resources

About