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Intelligent Sensor-Integrated Antenna Arrays for 5G and 6G Applications
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Intelligent Sensor-Integrated Antenna Arrays for 5G and 6G Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 738

Special Issue Editors

Dr. Ming Zhang

E-Mail Website
Guest Editor
School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: radar; signal processing; antenna
Dr. Shitao Zhu

E-Mail Website
Guest Editor
School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: metamaterial antennas; array signal processing; microwave coincidence imaging
Dr. Hongyu Shi

E-Mail Website
Guest Editor
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China
Interests: metasurfaces; reconfigurable antennas; reconfigurable intelligence surfaces; low-cost phased array antennas

Special Issue Information

Dear Colleagues,

The rapid evolution of wireless communication systems, notably the advent of 5G and 6G networks, has transformed our lifestyle and work dynamics. Intelligent sensors, particularly large-scale antenna arrays capable of efficiently transmitting and receiving electromagnetic waves in complex propagation environments, have emerged as a pivotal component of these wireless systems.

The integration of intelligent sensors into antenna arrays for 5G and 6G applications has become a significant research area within mobile communication and radar systems. However, designing these intelligent antenna arrays poses several challenges, including the development of new mounting structures, handling multiple frequency bands, managing multibeam cooperation, miniaturization, cost-effectiveness, high efficiency, seamless integration, and quick measurements.

This Special Issue aims to delve into the advanced intelligent antenna arrays for 5G and 6G applications, with a primary focus on innovative array architecture, reconfigurable intelligence surfaces, integrated sensing and communication, and array pattern optimization in conjunction with intelligent sensor technologies.

Dr. Ming Zhang
Dr. Shitao Zhu
Dr. Hongyu Shi
Guest Editors

Manuscript Submission Information

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Keywords

  • large-scale antenna arrays
  • multibeam antenna arrays
  • wearable sensor arrays
  • orbital angular momentum (OAM) arrays
  • reconfigurable intelligence surfaces
  • low-cost phased arrays
  • sensor array optimization
  • integrated sensing and communication
  • antenna array measurement

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Published Papers (1 paper)

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Research

14 pages, 1173 KiB  
Article
A Uniform Funnel Array for DOA Estimation in FANET Using Fibonacci Sampling
by Siwei Huo, Ming Zhang, Yongxi Liu and Shitao Zhu
Sensors 2025, 25(9), 2651; https://doi.org/10.3390/s25092651 - 22 Apr 2025
Viewed by 192
Abstract
The Flying Ad-Hoc Network (FANET) is an important component of the 6G communication system. In order to achieve the precise positioning of unmanned aerial vehicle (UAV) nodes in a FANET when satellite navigation signals are unavailable, simple and accurate direction-of-arrival (DOA) estimation methods [...] Read more.
The Flying Ad-Hoc Network (FANET) is an important component of the 6G communication system. In order to achieve the precise positioning of unmanned aerial vehicle (UAV) nodes in a FANET when satellite navigation signals are unavailable, simple and accurate direction-of-arrival (DOA) estimation methods are required. In this paper, we propose an improved correlative interferometer method to estimate the DOAs of the UAVs in a FANET. This method adopts a uniform funnel array (UFA) configuration, which consists of a uniform circular array (UCA) and an additional element located above the center. This configuration improves the estimation accuracy for DOAs with large polar angles because it utilizes the degree of freedom in the vertical aperture. In addition, the Fibonacci sampling strategy is employed to overcome the polar clustering phenomenon exhibited by latitude–longitude sampling. Furthermore, in the interferometer, only partial phase differences are used to reduce the storage burden. When calculating the similarity function, we adopt the triangular function instead of the cosine function to improve computational efficiency. The simulation results show that the proposed UFA improves the DOA estimation accuracy by 65.56% over the planar UCA for signals with large polar angles. Moreover, Fibonacci sampling improves the DOA estimation accuracy by 11.54% as compared to the latitude–longitude sampling. Full article
(This article belongs to the Special Issue Intelligent Sensor-Integrated Antenna Arrays for 5G and 6G Applications)
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