Uplink Sum Rate Maximization for Pinching Antenna-Assisted Multiuser MISO

2025-04-23

AI Summary

This paper addresses the sum-rate limitation in multi-user multiple-input single-output (MISO) uplink systems caused by fixed antenna placement. For the first time, it introduces reconfigurable physical antenna structures—specifically, the Pinched Antenna System (PASS)—into uplink design, jointly optimizing antenna positions and user transmit powers. Building upon minimum mean-square error (MMSE) decoding, it formulates non-convex joint optimization problems for both scenarios with and without successive interference cancellation (SIC). An efficient iterative algorithm is proposed based on fractional programming (FP). The method achieves synergistic optimization of physical-layer over-the-air resources (antenna positions) and network-layer resources (power allocation), significantly enhancing system sum-rate. Numerical results demonstrate substantial performance gains over conventional fixed-antenna systems, while the algorithm exhibits fast convergence and robustness.

Technology Category

• Search and Optimization: Algorithm Configuration
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines

Abstract

This article investigates the application of pinching-antenna systems (PASS) in multiuser multiple-input single-output (MISO) communications. Two sum-rate maximization problems are formulated under minimum mean square error (MMSE) decoding, with and without successive interference cancellation (SIC). To address the joint optimization of pinching antenna locations and user transmit powers, a fractional programming-based approach is proposed. Numerical results validate the effectiveness of the proposed method and show that PASS can significantly enhance uplink sum-rate performance compared to conventional fixed-antenna designs.

Problem

• Maximize uplink sum rate in multiuser MISO with PASS
• Optimize pinching antenna locations and user transmit powers
• Enhance performance over fixed-antenna designs using MMSE and SIC

Innovation

• Uses pinching-antenna systems for MISO communications
• Employs fractional programming for joint optimization
• Enhances uplink sum-rate with MMSE and SIC