Paper Info
Title
Optimal Energy-Efficient Beamforming for Integrated Sensing and Communications Systems
Abstract
This paper investigates an energy-efficient beamforming design in integrated sensing and communication (ISAC) systems, with the transmitted waveform jointly designed in the scenario of multi-user communication and moving target estimation at the same time. To improve the energy efficiency (EE) of transmission waveform while guaranteeing target estimation performance, we maximize the EE of the emitted dual-functional waveform, under a Cram ' er-Rao bound (CRB) constraint. However, the considered optimization problem is highly non-convex as a result of its fractional form. In our previous work, we solve this problem by fractional programming based on Dinkelbach's method. Nevertheless, the previous method suffers from a slow speed of convergence. To deal with this problem, we explore a sequential convex approximation method to calculate the results effectively. Numerical results demonstrate its improvement compared with the benchmark on iteration speed and EE performance.
Year
DOI
Venue
2022
10.1109/ICCWORKSHOPS53468.2022.9814609
2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
Keywords
DocType
ISSN
Integrated sensing and communication, energy, efficiency optimization, non-convex optimization
Conference
2164-7038
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jiaqi Zou101.35
Yuanhao Cui201.01
Yuyang Liu343.43
Songlin Sun434.44