Joint Resource Allocation for Movable-Antenna-Assisted Secure Integrated Data and Energy Transfer

doi:10.12142/ZTECOM.202603005

ZTE Communications ›› 2026, Vol. 24 ›› Issue (3): 31-39.DOI: 10.12142/ZTECOM.202603005

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Joint Resource Allocation for Movable-Antenna-Assisted Secure Integrated Data and Energy Transfer

Xiang Pengrong¹, Li Zhiguang², Zhao Yizhe²()

^1.Yangtze Delta Region Institute, University of Electronic Science and Technology of China, Huzhou 313001, China
^2.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Received:2026-07-03 Online:2026-09-20 Published:2026-09-20
About author:Xiang Pengrong received her MS degree from the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC) in 2026. Her research interests include movable-antenna-assisted wireless communications and integrated data energy transfer.
Li Zhiguang is pursuing his MS degree at the School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC). His research interests include movable-antenna-assisted wireless communications and integrated data energy transfer.
Zhao Yizhe (yzzhao@uestc.edu.cn) is currently an associate professor at University of Electronic Science and Technology of China (UESTC), where he received his PhD in information and communication engineering in 2021. He has been a visiting researcher with the Department of Electrical and Computer Engineering, University of California, Davis, USA. He is a member of IEEE and a senior member of China Institute of Communications. He is selected in Young Elite Scientists Sponsorship Program by China Association for Science and Technology (CAST). He serves for China Communications and Journal of Communications and Information Networks (JCIN) as the Guest Editor, and is also a TPC member of several prestigious IEEE conferences, such as IEEE ICC and Globecom. He was the recipient of IEEE CSE Best Paper Award in 2023. His research interests include modulation and coding design, integrated data and energy transfer, and fluid antenna systems.
Supported by:
the Natural Science Foundation of China (NSFC)(62571091);the Natural Science Foundation of China (NSFC)(62531008)

Abstract

Abstract:

This paper investigates joint resource allocation for movable-antenna (MA)-assisted secure integrated data and energy transfer (IDET) systems with passive eavesdroppers. A field-response-based MA channel model is adopted to capture the impact of antenna positions on legitimate, energy-transfer, and eavesdropping links, while energy signals are reused as artificial noise for simultaneous wireless power transfer and secrecy enhancement. A max-min secrecy-rate problem is formulated by jointly optimizing information beamformers, energy beamformers, and MA positions under energy-harvesting, power, movable-region, and antenna-spacing constraints. To address the resulting nonconvexity, an iterative algorithm based on semidefinite relaxation, successive convex approximation, and alternating optimization is developed. Simulation results demonstrate that the proposed scheme improves the minimum secrecy rate compared with fixed-position antenna benchmarks while satisfying the energy requirements of energy receivers.

Key words: integrated data and energy transfer, movable antenna, physical-layer security, resource allocation

Xiang Pengrong, Li Zhiguang, Zhao Yizhe. Joint Resource Allocation for Movable-Antenna-Assisted Secure Integrated Data and Energy Transfer[J]. ZTE Communications, 2026, 24(3): 31-39.

Figures/Tables 8

Figure 1 Illustration of an MA-assisted secure IDET network

Table 1 Main simulation parameters

Parameter	Meaning	Value
$M$	Number of MAs	6
$K D, K R$	Numbers of DRs and ERs	2, 2
$K E$	Number of Eves	2
$A$	Side length of movable region	$3 λ$
$D$	Minimum antenna distance	$λ / 2$
$P$	Transmit power	20 dBm
$σ 2$	Noise power	$- 80$ dBm
$α$	Path-loss exponent	2.4
$P t h$	Equivalent energy threshold	$0.01$ mW
λ	Carrier wavelength	0.1 m
L_u	Number of propagation paths	10
N_GR	Gaussian-randomization trials	1 000

Table 1 Main simulation parameters

Parameter	Meaning	Value
$M$	Number of MAs	6
$K D, K R$	Numbers of DRs and ERs	2, 2
$K E$	Number of Eves	2
$A$	Side length of movable region	$3 λ$
$D$	Minimum antenna distance	$λ / 2$
$P$	Transmit power	20 dBm
$σ 2$	Noise power	$- 80$ dBm
$α$	Path-loss exponent	2.4
$P t h$	Equivalent energy threshold	$0.01$ mW
λ	Carrier wavelength	0.1 m
L_u	Number of propagation paths	10
N_GR	Gaussian-randomization trials	1 000

Figure 2 Convergence analysis of the SDR-SCA-AO algorithm

Figure 3 Minimum secrecy rate versus base-station transmit power under different schemes

Figure 4 Minimum secrecy rate versus the number of MAs under different schemes

Figure 5 Minimum secrecy rate versus the minimum harvested-energy threshold of ERs

Figure 6 Minimum secrecy rate versus the normalized movable-region side length A/λ

Figure 7 Minimum secrecy rate versus the normalized minimum antenna distance D/λ under different schemes

References 21

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Joint Resource Allocation for Movable-Antenna-Assisted Secure Integrated Data and Energy Transfer

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