Metapocket: A Tri-Band Flexible Metasurface for Smartphone Antenna Performance Enhancement

In this paper, a flexible tri-band reflective metasurface, the metapocket, is presented to work with smartphone antennas to enhance its realized gain, and radiation efficiency and reduce its Specific Absorption Rate (SAR). Considering the limitation of the on-body scenario, the metasurface unit cell number is considered as a variable, and an artificial intelligence-driven method (the self-adaptive Bayesian neural network surrogate-model-assisted differential evolution for antenna optimization (SB-SADEA)) is applied to achieve the optimal performance. The designed reflection phase operates at 2.33-2.44 GHz (WIFI band), 3.39-3.56 GHz (5G N77 band) and 5.05-5.39 GHz (WLAN band). Polydimethylsiloxane (PDMS) substrate is utilized for good flexibility and biocompatibility. A state-of-the-art 5G smartphone (VIVO IQOO) is employed in both simulation and measurement. In free space, realized gain enhancement by 4.23, 4.67, 5.8 dB are achieved, radiation efficiency enhancement by 16.6%, 11.5%, 12.1% are achieved, respectively. Furthermore, calculated SAR reduction by 90.2%, 88.9%, 89.9% are achieved. All results verify that the proposed tri-band metapocket is of significant value to smartphone antenna performance in an on-body scenario.

Authors

Institutions

Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2025-05-28
DOI
https://doi.org/10.1109/lawp.2025.3574643
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metapocket: A Tri-Band Flexible Metasurface for Smartphone Antenna Performance Enhancement

Menglin Zhai, Rui Pei, Eng Gee Lim, Jingchen Wang et al.
IEEE Antennas and Wireless Propagation Letters
Antenna Design and Analysis
article

Metapocket: A Tri-Band Flexible Metasurface for Smartphone Antenna Performance Enhancement

Menglin Zhai, Rui Pei, Eng Gee Lim, Jingchen Wang, Qiang Hua, Mobayode O. Akinsolu, Mark Leach, Chen Xu, Bo Liu, Yi Huang, Zhao Wang, Wandai Tian
article en

Abstract

In this paper, a flexible tri-band reflective metasurface, the metapocket, is presented to work with smartphone antennas to enhance its realized gain, and radiation efficiency and reduce its Specific Absorption Rate (SAR). Considering the limitation of the on-body scenario, the metasurface unit cell number is considered as a variable, and an artificial intelligence-driven method (the self-adaptive Bayesian neural network surrogate-model-assisted differential evolution for antenna optimization (SB-SADEA)) is applied to achieve the optimal performance. The designed reflection phase operates at 2.33-2.44 GHz (WIFI band), 3.39-3.56 GHz (5G N77 band) and 5.05-5.39 GHz (WLAN band). Polydimethylsiloxane (PDMS) substrate is utilized for good flexibility and biocompatibility. A state-of-the-art 5G smartphone (VIVO IQOO) is employed in both simulation and measurement. In free space, realized gain enhancement by 4.23, 4.67, 5.8 dB are achieved, radiation efficiency enhancement by 16.6%, 11.5%, 12.1% are achieved, respectively. Furthermore, calculated SAR reduction by 90.2%, 88.9%, 89.9% are achieved. All results verify that the proposed tri-band metapocket is of significant value to smartphone antenna performance in an on-body scenario.

IEEE Antennas and Wireless Propagation LettersVol. 24(9)
University of Huddersfield (GB), University of Liverpool (GB), China Mobile (China) (CN), Donghua University (CN), Wrexham University (GB), Xi’an Jiaotong-Liverpool University (CN), University of Glasgow (GB)
Affordable and clean energy
Openalex Percentile: Top 85%
Antenna Design and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.