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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.

|August 5, 2025

Summary

This summary is machine-generated.

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.

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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.