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Reconfigurable Transmission Design for PASS-MIMO via Waveguide Indexing
Yaxian Wang1, Songjie Yang2, Juhong Peng3
1Manchester Metropolitan Joint Institute, Hubei University, Wuhan 430062, China.
Sensors (Basel, Switzerland)
|July 28, 2026
Summary
This study introduces a novel waveguide index modulation system for 6G Internet of Things (IoT) networks, enhancing spectral efficiency and reliability. The proposed system significantly reduces bit error rates and detection complexity for improved communication performance.
Area of Science:
- Wireless communication systems
- Signal processing
- Optimization algorithms
Background:
- 6G industrial Internet of Things (IoT) and ultra-dense networks demand high spectral efficiency, low hardware cost, and reliable transmission.
- Existing multiple-input multiple-output (MIMO) architectures face challenges in large-scale reconfigurability and robust line-of-sight (LoS) link establishment.
Purpose of the Study:
- To investigate waveguide index modulation using the pinching-antenna system (PASS) for 6G IoT and ultra-dense networks.
- To develop a two-stage sparse transmission framework for optimizing antenna positions and enhancing signal detection.
- To improve spectral efficiency, hardware cost, and transmission reliability in wireless communication systems.
Main Methods:
- A Simulated Annealing-based Constrained Discrete Optimization (SA-CDO) algorithm was used to optimize pinching-antenna (PA) positions and create a near-orthogonal channel dictionary.
- An Orthogonal Least Squares-based Constellation-Constrained (OLS-CC) detector was developed for joint recovery of waveguide indices and modulation symbols.
- Monte Carlo simulations were performed to evaluate the system's performance under various channel conditions.
Main Results:
- The proposed PASS scheme with SA-CDO and OLS-CC significantly outperforms conventional antenna index modulation.
- SA-CDO optimization effectively reduces the bit error rate (BER).
- OLS-CC detector improves sparse recovery accuracy and reduces detection complexity from exponential to polynomial order.
Conclusions:
- The developed waveguide index modulation scheme offers a promising solution for meeting the stringent requirements of 6G IoT and ultra-dense networks.
- The SA-CDO and OLS-CC algorithms provide efficient methods for interference suppression and low-complexity signal detection.
- This research offers valuable insights for designing highly reliable 6G IoT communication systems.