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Uplink Sum Rate Maximization for Pinching Antenna-Assisted Multiuser MISO

Jiarui Zhang, Hao Xu, Chongjun Ouyang, Qiuyun Zou, Hongwen Yang

TL;DR

This work tackles uplink multiuser MISO with pinching-antenna systems (PASS) across multiple waveguides by jointly optimizing pinching-antenna placements and user powers under MMSE-SIC and MMSE-nSIC decoders. It introduces a fractional programming–based block coordinate descent algorithm that employs auxiliary variables to reformulate the objective and alternates updates of these variables, PA positions via gradient descent, and user powers via closed-form rules. The method is shown to converge and achieve higher uplink sum-rates than conventional fixed-antenna designs, with the gains most pronounced under MMSE-SIC. The results highlight PASS’s potential to enhance spectral efficiency in high-frequency uplink networks and underline the value of flexible beamforming through movable antennas.

Abstract

This article investigates the application of pinching-antenna systems (PASS) in multiuser multiple-input single-output (MISO) communications. Two sum-rate maximization problems are formulated under minimum mean square error (MMSE) decoding, with and without successive interference cancellation (SIC). To address the joint optimization of pinching antenna locations and user transmit powers, a fractional programming-based approach is proposed. Numerical results validate the effectiveness of the proposed method and show that PASS can significantly enhance uplink sum-rate performance compared to conventional fixed-antenna designs.

Uplink Sum Rate Maximization for Pinching Antenna-Assisted Multiuser MISO

TL;DR

This work tackles uplink multiuser MISO with pinching-antenna systems (PASS) across multiple waveguides by jointly optimizing pinching-antenna placements and user powers under MMSE-SIC and MMSE-nSIC decoders. It introduces a fractional programming–based block coordinate descent algorithm that employs auxiliary variables to reformulate the objective and alternates updates of these variables, PA positions via gradient descent, and user powers via closed-form rules. The method is shown to converge and achieve higher uplink sum-rates than conventional fixed-antenna designs, with the gains most pronounced under MMSE-SIC. The results highlight PASS’s potential to enhance spectral efficiency in high-frequency uplink networks and underline the value of flexible beamforming through movable antennas.

Abstract

This article investigates the application of pinching-antenna systems (PASS) in multiuser multiple-input single-output (MISO) communications. Two sum-rate maximization problems are formulated under minimum mean square error (MMSE) decoding, with and without successive interference cancellation (SIC). To address the joint optimization of pinching antenna locations and user transmit powers, a fractional programming-based approach is proposed. Numerical results validate the effectiveness of the proposed method and show that PASS can significantly enhance uplink sum-rate performance compared to conventional fixed-antenna designs.

Paper Structure

This paper contains 12 sections, 2 theorems, 16 equations, 4 figures, 2 algorithms.

Table of Contents

  1. Introduction
  2. System Model And Problem Formulation
  3. Pinching-Antenna System
  4. Problem Formulation
  5. Proposed Method
  6. MMSE-SIC case
  7. Optimize 2
  8. Optimize 2
  9. Optimize $\mathbf{P}$
  10. MMSE-NSIC Case
  11. Numerical results
  12. Conclusion

Key Result

Lemma 1

Problem ${\mathcal{P}}_{\text{sic}}$ is equivalent to

Figures (4)

  • Figure 1: Illustration of a PASS-assisted multiuser MISO uplink channel.
  • Figure 2: The sum-rate versus $P_{\text{max}}$ with $N=4$, $M=4$.
  • Figure 3: The sum-rate versus $M$ with $N=4$, $P_{\text{max}}=10$ dBm.
  • Figure 4: Convergence with $M=4$, $P_{\text{max}}=10$ dBm.

Theorems & Definitions (2)

  • Lemma 1
  • Lemma 2