Intelligent Reflecting Array Phase Mapping Method with One-Dimensional Coverage Partitioning

This study proposes the intelligent reflecting array (IRA) phase mapping method that can directly map the user equipment (UE) position to the IRA phase shift (PS) vector. To construct the mapping between the UE position and the IRA PS vector, we partition the coverage into multiple regions, each with an anchor. The IRA PS vector corresponding to each anchor position is stored offline. The designed mapping is used online to choose the IRA PS vector from the UE’s position feedback. Numerical results verified that the IRA phase mapping method with the generalized Lloyd algorithm (GLA)-based partitioning converges to the performance upper bound as the number of regions increases. Also, uniform angle-based partitioning can achieve comparable performance to GLA-based partitioning.

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Publication Details

Published
2025-01-15
DOI
https://doi.org/10.1109/icoin63865.2025.10992794
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Intelligent Reflecting Array Phase Mapping Method with One-Dimensional Coverage Partitioning

Jingon Joung, Jaehong Kim
Antenna Design and Optimization
article

Intelligent Reflecting Array Phase Mapping Method with One-Dimensional Coverage Partitioning

Jingon Joung, Jaehong Kim
article en

Abstract

This study proposes the intelligent reflecting array (IRA) phase mapping method that can directly map the user equipment (UE) position to the IRA phase shift (PS) vector. To construct the mapping between the UE position and the IRA PS vector, we partition the coverage into multiple regions, each with an anchor. The IRA PS vector corresponding to each anchor position is stored offline. The designed mapping is used online to choose the IRA PS vector from the UE’s position feedback. Numerical results verified that the IRA phase mapping method with the generalized Lloyd algorithm (GLA)-based partitioning converges to the performance upper bound as the number of regions increases. Also, uniform angle-based partitioning can achieve comparable performance to GLA-based partitioning.

Chung-Ang University (KR)
Ministry of Education, National Research Foundation of Korea
Openalex Percentile: Top 86%
Antenna Design and Optimization
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