Dual Polarized Dual Coverage Reflectarray-Based Passive Reflecting Surface for Next-Generation Networks

A single-layer reflectarray configuration is investigated for dual-polarization operation at 5G millimeter wave (mmWave) frequencies. The proposed reflectarray cell is designed as a viable solution for passive reflecting surfaces to enhance 5G network coverage. It consists of two alternating pairs of miniaturized linearly polarized patches, each operating at the same resonant frequency but rotated by 90∘ to enable dual polarization. This design allows independent phase tuning for each polarization, features an ultra-thin structure (∼0.0237λ at 28 GHz), and maintains compact cell dimensions (∼0.4λ at f=28 GHz), ensuring seamless integration and conformability to the support surface while preserving beam-focusing capabilities at large scan angles. A 28 GHz reflectarray-based passive reflecting surface is designed and experimentally validated as a solution for 5G blind spot scenarios, demonstrating independent backscatter for each polarization and enabling dual-coverage, dual-polarized operation. This independent dual-polarization control enables practical benefits, such as improved link reliability in NLoS (Non-Line-of-Sight) environments, simultaneous coverage of distinct zones, and potential support for multiple service providers to share the same frequency, thus highlighting the versatility and practical relevance of the proposed configuration. Due to its compactness, polarization flexibility, and cost-effectiveness, this configuration is a promising candidate for next-generation mmWave telecommunications, particularly in dense urban environments.

Institutions

Publication Details

Journal
IEEE Open Journal of Antennas and Propagation
Published
2025-10-07
DOI
https://doi.org/10.1109/ojap.2025.3618386
Primary Topic
Insect and Arachnid Ecology and Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual Polarized Dual Coverage Reflectarray-Based Passive Reflecting Surface for Next-Generation Networks

IEEE Open Journal of Antennas and Propagation
Insect and Arachnid Ecology and Behavior
article

Dual Polarized Dual Coverage Reflectarray-Based Passive Reflecting Surface for Next-Generation Networks

article en

Abstract

A single-layer reflectarray configuration is investigated for dual-polarization operation at 5G millimeter wave (mmWave) frequencies. The proposed reflectarray cell is designed as a viable solution for passive reflecting surfaces to enhance 5G network coverage. It consists of two alternating pairs of miniaturized linearly polarized patches, each operating at the same resonant frequency but rotated by 90∘ to enable dual polarization. This design allows independent phase tuning for each polarization, features an ultra-thin structure (∼0.0237λ at 28 GHz), and maintains compact cell dimensions (∼0.4λ at f=28 GHz), ensuring seamless integration and conformability to the support surface while preserving beam-focusing capabilities at large scan angles. A 28 GHz reflectarray-based passive reflecting surface is designed and experimentally validated as a solution for 5G blind spot scenarios, demonstrating independent backscatter for each polarization and enabling dual-coverage, dual-polarized operation. This independent dual-polarization control enables practical benefits, such as improved link reliability in NLoS (Non-Line-of-Sight) environments, simultaneous coverage of distinct zones, and potential support for multiple service providers to share the same frequency, thus highlighting the versatility and practical relevance of the proposed configuration. Due to its compactness, polarization flexibility, and cost-effectiveness, this configuration is a promising candidate for next-generation mmWave telecommunications, particularly in dense urban environments.

IEEE Open Journal of Antennas and PropagationVol. 6(6)
University of Calabria (IT)
Sustainable cities and communities
Openalex Percentile: Top 35%
Insect and Arachnid Ecology and Behavior
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.