Resource Allocation for Multi-waveguide Pinching Antenna-assisted Broadcast Networks
Ruotong Zhao, Shaokang Hu, Deepak Mishra, Derrick Wing Kwan Ng

TL;DR
This paper presents a novel resource allocation framework for multi-waveguide pinching antenna-assisted broadcast networks, optimizing beamforming, power ratios, and antenna placement to enhance user rates under realistic propagation models.
Contribution
It introduces a generalized frequency-dependent attenuation model and a joint optimization scheme for waveguide beamforming and antenna parameters, addressing non-convexity efficiently.
Findings
Significant performance improvements over conventional systems.
Effective trade-off management between propagation loss and resource allocation.
Demonstrated computational efficiency of the proposed optimization method.
Abstract
In this paper, we investigate the resource allocation for multi-dielectric waveguide-assisted broadcast systems, where each waveguide employs multiple pinching antennas (PAs), aiming to maximize the minimum achievable rate among multiple users. To capture realistic propagation effects, we propose a novel generalized frequency-dependent power attenuation model for dielectric waveguides PA systems. We jointly optimize waveguide beamforming, PA power ratio allocation, and antenna positions via a block coordinate descent scheme that capitalizes on majorization minimization and penalty methods, circumventing the inherent non-convexity of the formulated optimization problem and obtaining a computationally efficient sub-optimal solution. Simulation results demonstrate that our proposed framework substantially outperforms both conventional antenna systems and single PA per waveguide…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Antenna Design and Analysis
