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AmBC-NOMA-Aided Short-Packet Communication for High Mobility V2X Transmissions

Xinyue Pei, Xingwei Wang, Yingyang Chen, Tingrui Pei, Miaowen Wen

TL;DR

This work tackles reliable low-latency V2X communication in high-mobility environments by integrating ambient backscatter with NOMA for short-packet transmissions. It develops a time-selective channel model with imperfect CSI and derives closed-form SINR statistics and finite-blocklength BLER expressions for a RSU-BD-NOMA vehicular setup. The analysis reveals how Doppler-induced channel variation, backscatter reflection, blocklength, and CSI errors shape BLER, and demonstrates that AmBC-NOMA can outperform AmBC-OMA in this regime. Numerical results validate the analytical expressions and indicate practical design guidelines for achieving low BLER in high-mobility V2X with AmBC-NOMA.

Abstract

In this paper, we investigate the performance of ambient backscatter communication non-orthogonal multiple access (AmBC-NOMA)-assisted short packet communication for high-mobility vehicle-to-everything transmissions. In the proposed system, a roadside unit (RSU) transmits a superimposed signal to a typical NOMA user pair. Simultaneously, the backscatter device (BD) transmits its own signal towards the user pair by reflecting and modulating the RSU's superimposed signals. Due to vehicles' mobility, we consider realistic assumptions of time-selective fading and channel estimation errors. Theoretical expressions for the average block error rates (BLERs) of both users are derived. Furthermore, analysis and insights on transmit signal-to-noise ratio, vehicles' mobility, imperfect channel estimation, the reflection efficiency at the BD, and blocklength are provided. Numerical results validate the theoretical findings and reveal that the AmBC-NOMA system outperforms its orthogonal multiple access counterpart in terms of BLER performance.

AmBC-NOMA-Aided Short-Packet Communication for High Mobility V2X Transmissions

TL;DR

This work tackles reliable low-latency V2X communication in high-mobility environments by integrating ambient backscatter with NOMA for short-packet transmissions. It develops a time-selective channel model with imperfect CSI and derives closed-form SINR statistics and finite-blocklength BLER expressions for a RSU-BD-NOMA vehicular setup. The analysis reveals how Doppler-induced channel variation, backscatter reflection, blocklength, and CSI errors shape BLER, and demonstrates that AmBC-NOMA can outperform AmBC-OMA in this regime. Numerical results validate the analytical expressions and indicate practical design guidelines for achieving low BLER in high-mobility V2X with AmBC-NOMA.

Abstract

In this paper, we investigate the performance of ambient backscatter communication non-orthogonal multiple access (AmBC-NOMA)-assisted short packet communication for high-mobility vehicle-to-everything transmissions. In the proposed system, a roadside unit (RSU) transmits a superimposed signal to a typical NOMA user pair. Simultaneously, the backscatter device (BD) transmits its own signal towards the user pair by reflecting and modulating the RSU's superimposed signals. Due to vehicles' mobility, we consider realistic assumptions of time-selective fading and channel estimation errors. Theoretical expressions for the average block error rates (BLERs) of both users are derived. Furthermore, analysis and insights on transmit signal-to-noise ratio, vehicles' mobility, imperfect channel estimation, the reflection efficiency at the BD, and blocklength are provided. Numerical results validate the theoretical findings and reveal that the AmBC-NOMA system outperforms its orthogonal multiple access counterpart in terms of BLER performance.
Paper Structure (11 sections, 5 theorems, 24 equations, 5 figures)

This paper contains 11 sections, 5 theorems, 24 equations, 5 figures.

Table of Contents

  1. Introduction
  2. System Model
  3. High-mobility and Time-selective Channel Modeling
  4. Transmission Model
  5. The Statistics of SINRs
  6. BLER Analysis
  7. Numerical Results
  8. Conclusions
  9. Proof of Lemma \ref{['CDF_of_gammaUm_sF']}
  10. Proof of Lemma \ref{['CDF_of_gammaUN_sC']}
  11. Proof of Theorem \ref{['ABLER_UN']}

Key Result

Lemma 1

The CDF of received SINR $\gamma_{U_m}^{s_F}$ ($m\in\{N,F\}$) can be derived as where $\chi_{1m}(u)\!=\!\frac{\hat{\Omega}_{Rm}(\mathcal{A}_m-u\mathcal{G}_m)}{u\Omega_{RB}\hat{\Omega}_{Bm}\mathcal{C}_m}$, $\chi_{2m}(u)\!=\!\chi_{1m}(\frac{u\Omega_{RB}\mathcal{D}_m}{\hat{\Omega}_{Rm}(\mathcal{A}_m-u\mathcal{G}_m)}+1)$, and $\chi_{3m}(u)\!\!=\!\!\chi_{2m}-\frac{u\Omega_{\xi Rm}}{

Figures (5)

  • Figure 1: System model.
  • Figure 2: Illustration of the accuracy of the Gauss-Chebyshev quadrature and the first-order Riemann integral approximations.
  • Figure 3: Average BLERs versus transmit SNR.
  • Figure 4: Average BLERs versus reflection efficiency.
  • Figure 5: Average BLERs versus blocklength.

Theorems & Definitions (10)

  • Lemma 1
  • proof
  • Lemma 2
  • proof
  • Lemma 3
  • proof
  • Theorem 1
  • proof
  • Theorem 2
  • proof