Pinching-Antenna-Enabled Cognitive Radio Networks
Zeyang Sun, Xidong Mu, Shuai Han, Sai Xu, Michail Matthaiou

TL;DR
This paper introduces a novel pinching-antenna system for cognitive radio networks, deriving analytical spectral efficiency expressions and proposing a three-stage optimization algorithm to enhance spectrum sharing and interference management.
Contribution
It presents a new PA-enabled antenna design, analytical SE expressions under Ricean fading, and a three-stage optimization algorithm for joint beamforming and power control.
Findings
PAs significantly improve spectral efficiency over fixed antennas
Proposed beamforming effectively suppresses interference
Optimization algorithm achieves near-orthogonal primary and secondary transmissions
Abstract
This paper investigates a pinching-antenna (PA)-enabled cognitive radio network, where both the primary transmitter (PT) and secondary transmitter (ST) are equipped with a single waveguide and multiple PAs to facilitate simultaneous spectrum sharing. Under a general Ricean fading channel model, a closed-form analytical expression for the average spectral efficiency (SE) achieved by PAs is first derived. Based on this, a sum-SE maximization problem is formulated to jointly optimize the primary and secondary pinching beamforming, subject to system constraints on the transmission power budgets, minimum antenna separation requirements, and feasible PA deployment regions. To address this non-convex problem, a three-stage optimization algorithm is developed to sequentially optimize both the PT and ST pinching beamforming, and the ST power control. For the PT and ST pinching beamforming…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · PAPR reduction in OFDM · Advanced MIMO Systems Optimization
