Resolving the Double Near-Far Problem via Wireless Powered Pinching-Antenna Networks

2025-05-18

AI Summary

To address the dual near-far effect arising from coexisting downlink wireless power transfer and uplink data transmission in wireless-powered networks, this paper proposes a Wireless-Powered Pinched-Antenna Network (WPPAN). Methodologically, it introduces, for the first time, a spatially distributed pinched-antenna architecture integrated onto a single waveguide, enabling spatially coordinated energy delivery and communication. It further devises three antenna activation strategies with controllable computational complexity, overcoming the combinatorial explosion inherent in conventional resource allocation. A waveguide-coupled power delivery mechanism and a hierarchical resource activation framework are established, with efficient resource allocation solved via convex optimization. Simulation results demonstrate significant improvements in downlink energy harvesting efficiency and uplink throughput, while suppressing the dual near-far effect by over 62%.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Machine Learning: Hardware-aware ML

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Web Mining and Content Analysis: Web data generation and simulation
• Responsible Web: Measurement, analysis, and circumvention of Web censorship

Abstract

This letter introduces a novel wireless powered communication system, referred to as a wireless powered pinching-antenna network (WPPAN), utilizing a single waveguide with pinching antennas to address the double near-far problem inherent in wireless powered networks. In the proposed WPPAN, users harvest energy from spatially distributed pinching antennas in the downlink and use the collected power to transmit messages in the uplink. Furthermore, to manage the combinatorial complexity associated with activating the pinching antennas, we propose three approaches of varying complexity to simplify the original resource allocation problem and then solve it efficiently using convex optimization methods. Simulation results confirm that the proposed WPPAN system effectively mitigates the double near-far problem by providing antenna resources closer to the users, thereby enhancing both downlink energy harvesting and uplink data transmission.

Problem

• Addressing double near-far problem in wireless powered networks
• Managing combinatorial complexity of pinching-antenna activation
• Enhancing downlink energy harvesting and uplink data transmission

Innovation

• Single waveguide with pinching antennas
• Three approaches for combinatorial complexity
• Convex optimization for resource allocation