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On the Performance of Uplink Pinching Antenna Systems (PASS)
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Pinching antenna (PA) is a flexible antenna composed of a waveguide and multiple dielectric particles, which is capable of reconfiguring wireless channels intelligently in line-of-sight links. By leveraging the unique features of PAs, we exploit the uplink (UL) transmission in pinching antenna systems (PASS). To comprehensively evaluate the performance gains of PASS in UL transmissions, three scenarios, multiple PAs for a single user (MPSU), a single PA for a single user (SPSU), and a single PA for multiple users (SPMU) are considered. The positions of PAs are optimized to obtain the maximal channel gains in the considered scenarios. For the MPSU and SPSU scenarios, by applying the optimized position of PAs, closed-form expressions for analytical, asymptotic and approximated ergodic rate are derived. As the further advance, closed-form expressions of approximated ergodic rate is derived when a single PA is fixed in the SPMU scenario. Our results demonstrate the following key insights: i) The proposed PASS significantly outperforms conventional Multiple-input Single-output networks by exploiting the flexibility of PAs; ii) The PA distribution follows an asymmetric non-uniform distribution in the MPSU scenario; iii) Optimizing PA positions significantly enhances the ergodic sum rate performance.
Forward citations
Cited by 5 Pith papers
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Multigroup Multicast Design for Pinching-Antenna Systems: Waveguide-Division or Waveguide-Multiplexing?
Pinching-antenna systems can beat conventional and massive MIMO for multigroup multicast by repositioning antennas along waveguides, with waveguide-multiplexing best for dense users and waveguide-division best for sep...
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Multiuser Beamforming for Pinching-Antenna Systems: An Element-wise Optimization Framework
An element-wise search over pinching-antenna positions, paired with MRT, ZF, or MMSE beamforming, maximizes downlink and uplink sum-rates for pinching-antenna systems without alternating optimization.
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Deep Learning Optimization of Two-State Pinching Antennas Systems
A graph neural network with distributed attention selects near-optimal subsets of active pinching antennas, matching a Gurobi solver's rates within a few percent and generalizing from 50 to 1000 antennas.
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Exploiting Pinching-Antenna Systems in Multicast Communications
Optimizing pinching-antenna positions along dielectric waveguides improves multicast rates, with closed-form results for a single antenna and iterative algorithms for multiple antennas or waveguides.
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On the Performance of Pinching-Antenna Systems (PASS) with Orthogonal and Non-Orthogonal Multiple Access
For a two-room pinching-antenna setup, the line-of-sight user's outage probability drops sharply compared to a fixed antenna, while the non-line-of-sight user keeps diversity order one and changes little.
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