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PreprintarXiv licencearXiv

Secrecy Sum-Rate Maximization for RSMA-Enabled Pinching-Antenna Systems

  • Code Kebe
  • Saeid Pakravan
  • Wessam Ajib
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Abstract

This paper investigates secrecy sum-rate (SSR) maximization in a downlink rate-splitting multiple access (RSMA)-enabled single-waveguide pinching-antenna system (PASS) with an external eavesdropper. The RSMA power allocation, secure common-rate allocation, and pinching-antenna (PA) positions are jointly optimized subject to transmit-power, per-user secrecy-rate, and PA-placement constraints. To tackle the resulting nonconvex problem, an alternating-optimization framework is developed, combining successive convex approximation for RSMA resource allocation with feasibility-preserving projected gradient ascent for PA-position optimization. Numerical results show that the proposed design consistently outperforms the considered benchmarks in terms of average SSR, demonstrating the benefits of joint RSMA resource and PA-position optimization for secure PASS transmission.

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Cite

BibTeXRIS
BibTeX
@misc{kebe2026secrecy,
  title = {{Secrecy Sum-Rate Maximization for RSMA-Enabled Pinching-Antenna Systems}},
  author = {Code Kebe and Saeid Pakravan and Wessam Ajib},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.01544},
  eprint = {2611.01544},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.01544},
}
RIS
TY  - UNPB
TI  - Secrecy Sum-Rate Maximization for RSMA-Enabled Pinching-Antenna Systems
AU  - Code Kebe
AU  - Saeid Pakravan
AU  - Wessam Ajib
PY  - 2026
DA  - 2026/11/01
PB  - arXiv
DO  - 10.48550/arxiv.2611.01544
UR  - https://arxiv.org/abs/2611.01544
AB  - This paper investigates secrecy sum-rate (SSR) maximization in a downlink rate-splitting multiple access (RSMA)-enabled single-waveguide pinching-antenna system (PASS) with an external eavesdropper. The RSMA power allocation, secure common-rate allocation, and pinching-antenna (PA) positions are jointly optimized subject to transmit-power, per-user secrecy-rate, and PA-placement constraints. To tackle the resulting nonconvex problem, an alternating-optimization framework is developed, combining successive convex approximation for RSMA resource allocation with feasibility-preserving projected gradient ascent for PA-position optimization. Numerical results show that the proposed design consistently outperforms the considered benchmarks in terms of average SSR, demonstrating the benefits of joint RSMA resource and PA-position optimization for secure PASS transmission.
ER  -