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Enhancing short-packet communications: BLER performance in RIS-assisted ambient backscatter NOMA systems.
Le Si Phu1, Tan N Nguyen2, Bui Vu Minh3
1Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Plos One
|August 5, 2025
Summary
This study analyzes reconfigurable intelligent surface-assisted ambient backscatter communication under non-orthogonal multiple access. The research provides a new framework for optimizing short-packet communication for ultra-reliable low-latency networks.
Area of Science:
- Wireless communication networks
- Signal processing
- Information theory
Background:
- Short-packet communication (SPC) is crucial for ultra-reliable low-latency communication (URLLC) in advanced wireless systems.
- Reconfigurable intelligent surfaces (RIS) and ambient backscatter communication (AmBC) offer promising solutions for enhancing wireless networks.
- Non-orthogonal multiple access (NOMA) is a key technology for improving spectral efficiency.
Purpose of the Study:
- To investigate the block error rate (BLER) performance of an RIS-assisted AmBC system within a NOMA framework.
- To derive closed-form expressions for average and asymptotic BLER in Nakagami-m fading environments.
- To optimize signal reception for both direct and backscattered links using power-domain NOMA and RIS-assisted reflection.
Main Methods:
- Derivation of closed-form expressions for BLER.
- Analysis of system performance in Nakagami-m fading channels.
- Leveraging power-domain NOMA and RIS-assisted reflection for signal optimization.
Main Results:
- Significant performance gains in BLER reduction were demonstrated.
- Improvements in system throughput were observed.
- Validation of analytical findings through numerical and Monte Carlo simulations.
Conclusions:
- RIS-assisted AmBC-NOMA systems show potential for efficient SPC in URLLC applications.
- The proposed framework enhances spectral efficiency and communication reliability.
- The derived BLER expressions provide valuable insights for system design and performance evaluation.
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