Minimum Data Rate Maximization for Uplink Pinching-Antenna Systems

This letter addresses, for the first time, the uplink performance optimization of multi-user pinching-antenna (PA) systems, recently developed for next-generation wireless networks. By leveraging the unique capabilities of PAs to dynamically configure wireless channels, we focus on maximizing the minimum achievable data rate between devices to achieve a balanced trade-off between throughput and fairness. An effective approach is proposed that separately optimizes the positions of the PAs and the resource allocation. The antenna positioning problem is reformulated into a convex one, while a closed-form solution is provided for the resource allocation. Simulation results demonstrate the superior performance of the investigated system using the proposed algorithm over corresponding counterparts, emphasizing the significant potential of PA systems for robust and efficient uplink communication in next-generation wireless networks.

Authors

Institutions

Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-03-04
DOI
https://doi.org/10.1109/lwc.2025.3547956
Citations
49
Primary Topic
Wireless Communication Networks Research
Type
article
Field-Weighted Citation Impact
72.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Minimum Data Rate Maximization for Uplink Pinching-Antenna Systems

Zhiguo Ding, Panagiotis D. Diamantoulakis, George K. Karagiannidis, Sotiris A. Tegos
49 citations
IEEE Wireless Communications Letters
Wireless Communication Networks Research
72.87
article

Minimum Data Rate Maximization for Uplink Pinching-Antenna Systems

Zhiguo Ding, Panagiotis D. Diamantoulakis, George K. Karagiannidis, Sotiris A. Tegos
article en
49 citations

Abstract

This letter addresses, for the first time, the uplink performance optimization of multi-user pinching-antenna (PA) systems, recently developed for next-generation wireless networks. By leveraging the unique capabilities of PAs to dynamically configure wireless channels, we focus on maximizing the minimum achievable data rate between devices to achieve a balanced trade-off between throughput and fairness. An effective approach is proposed that separately optimizes the positions of the PAs and the resource allocation. The antenna positioning problem is reformulated into a convex one, while a closed-form solution is provided for the resource allocation. Simulation results demonstrate the superior performance of the investigated system using the proposed algorithm over corresponding counterparts, emphasizing the significant potential of PA systems for robust and efficient uplink communication in next-generation wireless networks.

IEEE Wireless Communications LettersVol. 14(5)
Khalifa University of Science and Technology (AE), Aristotle University of Thessaloniki (GR), University of Manchester (GB)
Affordable and clean energy
Openalex Percentile: Top 0%
Wireless Communication Networks Research
72.87
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.