Antenna Pattern Design in Frequency Selective Channels

Antenna configuration plays a critical role in improving channel capacity through optimized antenna spacing, radiation patterns, and coupling. While previous works have explored antenna pattern design for flat fading channels, the optimization of patterns for frequency selective channels, remains under-explored. This paper addresses the antenna pattern design aimed at maximizing capacity in frequency selective channels. We propose a novel discrete representation model for antenna patterns. Based on that, the capacity maximization problem is formulated and solved using a combination of alternating optimization, convex optimization, auxiliary variable method, and the bisection method to achieve antenna pattern design. Numerical simulations validate the effectiveness of the proposed approach, demonstrating significant improvements in system capacity.

Authors

Institutions

Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-04-15
DOI
https://doi.org/10.1109/lwc.2025.3560541
Citations
1
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antenna Pattern Design in Frequency Selective Channels

Tong-Xing Zheng, Anxue Zhang, Shuo Wang, Ming Zhang et al.
1 citations
IEEE Wireless Communications Letters
Antenna Design and Analysis
4.99
article

Antenna Pattern Design in Frequency Selective Channels

Tong-Xing Zheng, Anxue Zhang, Shuo Wang, Ming Zhang, Xin Chen, Kewei Wang, Cuicui Zhang
article en
1 citations

Abstract

Antenna configuration plays a critical role in improving channel capacity through optimized antenna spacing, radiation patterns, and coupling. While previous works have explored antenna pattern design for flat fading channels, the optimization of patterns for frequency selective channels, remains under-explored. This paper addresses the antenna pattern design aimed at maximizing capacity in frequency selective channels. We propose a novel discrete representation model for antenna patterns. Based on that, the capacity maximization problem is formulated and solved using a combination of alternating optimization, convex optimization, auxiliary variable method, and the bisection method to achieve antenna pattern design. Numerical simulations validate the effectiveness of the proposed approach, demonstrating significant improvements in system capacity.

IEEE Wireless Communications LettersVol. 14(7)
Xidian University (CN), Yonyou (China) (CN), Purple Mountain Laboratories (CN), Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 7%
Antenna Design and Analysis
4.99
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.

Antenna Pattern Design in Frequency Selective Channels — Tong-Xing Zheng, Anxue Zhang, et al. · IEEE Wireless Communications Letters (2025) | TGRS Research Map | TGRS