Design of a Compact Polarization-Agile and Frequency-Tailored Array Antenna With Digital-Controllable Radiation Beams

Wu, Jie; Lu, Xueying; Wang, Wei; Han, Junjie; Xu, Guanghui; Huang, Zhixiang

doi:10.1109/tap.2021.3111325

Cited by 12 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Flexible architectures of FPGA devices not only offer the advantage of optimizing NN architectures, but also enable the implementation of the additional features required in the final implementation. For instance, the development on FPGAs of digital control systems for reconfigurable antennas has been explored in the literature [22]. This approach opens up the possibility of implementing the RIS-cell control system along with the AI optimization algorithm to configure each RIS cell according to the desired redirection.…”

Section: Target Edge Devicesmentioning

confidence: 99%

Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces

Martín-Martín,

Padial-Allué,

Castillo

et al. 2024

Sensors

View full text Add to dashboard Cite

Reconfigurable intelligent surfaces (RIS) offer the potential to customize the radio propagation environment for wireless networks, and will be a key element for 6G communications. However, due to the unique constraints in these systems, the optimization problems associated to RIS configuration are challenging to solve. This paper illustrates a new approach to the RIS configuration problem, based on the use of artificial intelligence (AI) and deep learning (DL) algorithms. Concretely, a custom convolutional neural network (CNN) intended for edge computing is presented, and implementations on different representative edge devices are compared, including the use of commercial AI-oriented devices and a field-programmable gate array (FPGA) platform. This FPGA option provides the best performance, with ×20 performance increase over the closest FP32, GPU-accelerated option, and almost ×3 performance advantage when compared with the INT8-quantized, TPU-accelerated implementation. More noticeably, this is achieved even when high-level synthesis (HLS) tools are used and no custom accelerators are developed. At the same time, the inherent reconfigurability of FPGAs opens a new field for their use as enabler hardware in RIS applications.

show abstract

Section: Target Edge Devicesmentioning

confidence: 99%

Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces

Martín-Martín,

Padial-Allué,

Castillo

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…It can also come up with an adaptive beamforming capability that steers the nulls to the interference, and radiated beam toward the targeted client. Therefore, to obtain high gain and smart performance for modern industrial communication, the array designs with beamforming, reconfigurability, and real-time controllability features are obvious preferences [ 7 , 51 , 52 , 82 , 83 ]. Reconfigurability can be categorized into electrical, optical, mechanical, and smart materials-based techniques.…”

Section: Review Of Sub-6-ghz Intelligent Antenna Designsmentioning

confidence: 99%

“…In Ref. [ 52 ], a polarization and frequency agile antenna with digital-controllable radiation patterns using a field-programmable coding method is presented. This antenna array can steer the beam to 4 different radiation forms and achieve 3 different linear polarization states, which provide a suitable solution for anti-jamming or blocked industrial communication.…”

Section: Review Of Sub-6-ghz Intelligent Antenna Designsmentioning

confidence: 99%

Leveraging the Role of Dynamic Reconfigurable Antennas in Viewpoint of Industry 4.0 and Beyond

et al. 2023

View full text Add to dashboard Cite

Industry 4.0 is a digital paradigm that refers to the integration of cutting-edge computing and digital technologies into global industries because of which the state of manufacturing, communication, and control of smart industries has changed altogether. Industry 4.0 has been profoundly influenced by some major disruptive technologies such as the Internet of Things (IoT), smart sensors, machine learning and artificial intelligence, cloud computing, big data analytics, advanced robotics, augmented reality, 3D printing, and smart adaptive communication. In this review paper, we discuss physical layer-based solutions with a focus on high reliability and seamless connectivity for Industry 4.0 and beyond applications. First, we present a harmonized review of the industrial revolution journey, industrial communication infrastructure, key performance requirements, and potential sub-6-GHz frequency bands. Then, based on that, we present a comprehensive review of intelligent tunable dynamic antenna systems at sub-6 GHz as key enablers for next-generation smart industrial applications. State-of-the-art smart antenna techniques such as agile pattern reconfigurability using electrical components, machine learning- and artificial intelligence-based agile beam-scanning antennas, and beam-steerable dynamic metasurface antennas are thoroughly reviewed and emphasized. We unfolded the exciting prospects of reconfigurable dynamic antennas for intelligent and reliable connectivity in application scenarios of Industry 4.0 and beyond such as Industrial IoT and smart manufacturing.

show abstract

“…Furthermore, beam switching can be achieved by using a switchable feed network or designing reconfigurable radiators [7]. In our previous work [8], we proposed a generation method of polarization agility [9], frequency customization and beam steering array antenna. The designed antenna can steer its beam into several radiation patterns by using a field‐programmable coding method.…”

Section: Introductionmentioning

confidence: 99%

A beam reconfigurable array antenna using slot‐coupled microstrip structure

Wu,

Fan,

2023

Electronics Letters

Self Cite

View full text Add to dashboard Cite

A planar low‐profile 4 × 4 beam reconfigurable array antenna using electronically controllable method at X‐band is presented. A novel switchable slot‐coupled microstrip feed structure (SMFS) is employed in the design of the antenna, which can provide a 180° phase difference in a wide frequency band. The antenna element is composed of an SMFS, a 2 × 2 parasitic square metal patch array, and a DC bias circuit. By switching the p‐i‐n diodes on the SMFS for all antenna elements, four radiation patterns of the designed array antenna can be reconfigured. The measurement results indicate that the designed antenna has achieved good impedance matching over a wide overlapped relative bandwidth of 24%. Benefiting from the advantages of wideband operation in four dynamical reconfigurable beams, the proposed array antenna is quite suitable for intelligent spatial perception, multi‐beam, and anti‐interference wireless communication systems.

show abstract

Design of a Compact Polarization-Agile and Frequency-Tailored Array Antenna With Digital-Controllable Radiation Beams

Cited by 12 publications

References 36 publications

Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces

Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces

Leveraging the Role of Dynamic Reconfigurable Antennas in Viewpoint of Industry 4.0 and Beyond

A beam reconfigurable array antenna using slot‐coupled microstrip structure

Contact Info

Product

Resources

About