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Downlink Beamforming with Pinching-Antenna Assisted MIMO Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pinching antennas have been recently proposed as a promising flexible-antenna technology, which can be implemented by attaching low-cost pinching elements to dielectric waveguides. This work explores the potential of employing pinching antenna systems (PASSs) for downlink transmission in a multiuser MIMO setting. We formulate the problem of hybrid beamforming, where the digital precoder at the access point and the activated locations of the pinching elements are jointly designed to maximize the achievable weighted sum-rate. Invoking fractional programming, a novel low-complexity algorithm is developed to iteratively update the precoding matrix and the locations of the pinching antennas. We validate the proposed scheme through extensive numerical experiments. Our investigations demonstrate that using PASSs, the throughput can be significantly boosted compared to conventional fixed-location antenna systems. This enlightens the potential of the PASS as an enabling candidate for next-generation wireless networks.

Original languageEnglish (US)
Title of host publication2025 IEEE International Conference on Communications Workshops, ICC Workshops 2025
EditorsMatthew Valenti, David Reed, Melissa Torres
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9798331596248
DOIs
StatePublished - 2025
Event2025 IEEE International Conference on Communications Workshops, ICC Workshops 2025 - Montreal, Canada
Duration: Jun 8 2025Jun 12 2025

Publication series

Name2025 IEEE International Conference on Communications Workshops, ICC Workshops 2025

Conference

Conference2025 IEEE International Conference on Communications Workshops, ICC Workshops 2025
Country/TerritoryCanada
CityMontreal
Period6/8/256/12/25

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment

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