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Energy-Efficient Design for Downlink Pinching-Antenna Systems with QoS Guarantee

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arxiv 2505.14904 v1 pith:KHGV6U6E submitted 2025-05-20 cs.IT eess.SPmath.IT

classification cs.ITeess.SPmath.IT
keywords antennaspinchingproblemallocationpinching-antennapowersystemstime
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Pinching antennas have recently garnered significant attention due to their ability to dynamically reconfigure wireless propagation environments. Despite notable advancements in this area, the exploration of energy efficiency (EE) maximization in pinching-antenna systems remains relatively underdeveloped. In this paper, we address the EE maximization problem in a downlink time-division multiple access (TDMA)-based multi-user system employing one waveguide and multiple pinching antennas, where each user is subject to a minimum rate constraint to ensure quality-of-service. The formulated optimization problem jointly considers transmit power and time allocations as well as the positioning of pinching antennas, resulting in a non-convex problem. To tackle this challenge, we first obtain the optimal positions of the pinching antennas. Based on this, we establish a feasibility condition for the system. Subsequently, the joint power and time allocation problem is decomposed into two subproblems, which are solved iteratively until convergence. Specifically, the power allocation subproblem is addressed through an iterative approach, where a semi-analytical solution is obtained in each iteration. Likewise, a semi-analytical solution is derived for the time allocation subproblem. Numerical simulations demonstrate that the proposed pinching-antenna-based strategy significantly outperforms both conventional fixed-antenna systems and other benchmark pinching-antenna schemes in terms of EE.

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Cited by 1 Pith paper

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  1. Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI

    cs.IT 2025-07 conditional novelty 5.0 of 10

    A robust resource allocation with outage constraints for pinching-antenna downlinks under user-location uncertainty, solved by geometric area analysis and PSO.

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